GlaxoSmithKline
Overview Site Name: UK - London - New Oxford Street, Stevenage, Upper Providence, Wavre Posted Date: Feb 2 2026 We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK GSK Associate Director, Decision Science for Clinical Operations This is an exciting opportunity to channel your passion for innovation in the field of Statistics and Data Science to help shape the future of the Biostatistics function and transform the way in which GSK uses data and quantitative thinking to drive decision-making in R&D. Biostatistics is the single-largest functional group of Statisticians, Programmers and Data Scientists within GSK R&D, numbering approx. 900 permanent people in the US, UK, Europe and India. Our mission is to put statistical thinking at the heart of R&D decision-making, to ensure that predictive models, well-designed experiments, and trials deliver robust evidence as the input to those decisions, ultimately making the R&D process more efficient. We are investing in our cutting-edge innovation capabilities by expanding the Statistics & Data Science Innovation Hub (SDS-IH) led by Prof Nicky Best. The vision of SDS-IH is to be the catalyst for innovation and advanced data-driven decision making. In this role, you will work closely with SDS-IH to embed sophisticated analytics into Global Clinical Operations (GCO), enabling stakeholders to make timely, robust, and impactful decisions. As the Associate Director of Decision Science for Clinical Operations, you will serve as a strategic thought partner to senior R&D leadership, architecting the future of how GSK plans and executes clinical trials. Your mission is to embed sophisticated analytics and data-driven frameworks into the core of GCO. You will frame and model complex operational scenarios, quantify risks and trade-offs, and challenge assumptions to discover and unlock added value for high-impact R&D projects. By translating analytical insights into clear, actionable strategies, you will drive decision quality and accelerate the delivery of new medicines to patients. In this role you will be involved in Strategic & Facilitative Leadership Partner with GCO's Decision Analytics team to lead high-stakes strategic discussions with clinical development leadership to frame complex business problems, develop differentiated options, and define clear analytical pathways. Synthesize diverse evidence, including empirical data and expert judgment, to construct cohesive decision models that guide strategy. Influence key investment and operational decisions by translating complex model outputs into compelling narratives and actionable recommendations for executive audiences. Advanced Modeling & Analytics Implement advanced decision models to quantify risk and identify value-add opportunities in study timelines and resource allocation. Deliver robust predictive models for critical operational challenges, including patient recruitment, site performance, and milestone attainment, to create value optimal and risk-aware delivery strategies. Identify and champion non-obvious value-add opportunities by applying innovative analytical approaches to complex clinical operations challenges. 3. Technical Innovation & Capability Development Drive the design and deployment of scalable analytics solutions, including production-ready models, automated monitoring systems, and real-time data pipelines. Champion best-in-class DevOps practices, including version control (Git), CI/CD pipelines, and automated testing to ensure robust, reproducible, and scalable solutions. Train and mentor colleagues on the use of tools, methods, and structured decision frameworks to build organizational capability. Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: PhD (preferred) in a quantitative field (e.g., Data Science, Statistics, Computer Science, Operations Research, Decision Analysis) or MSc with equivalent experience in the pharmaceutical or biotech industry. Proven expertise designing and building flexible decision models (e.g., Monte Carlo simulation, Bayesian analysis, scenario planning, sensitivity analysis) to quantify risk and value trade-offs. Expertise in Python or R with the ability to adapt models. Knowledge of the drug development lifecycle and Clinical Operations workflows. Track record of leading and mentoring technical teams to deliver data science solutions with measurable business impact. Exceptional communication and influencing skills, with the ability to distill complex analyses into compelling recommendations for senior leadership in a matrix environment. Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Hands-on experience with DevOps best practices, including Git, CI/CD, and testing. Therapeutic area depth, including knowledge of clinical development and trial design. Direct Clinical Operations experience. Decision Analysis or Management Consulting experience focused on pharmaceutical strategy or operations. Expertise in advanced methods such as Bayesian statistics, machine learning, and enrollment simulation Closing Date for Applications - 24th February 2026 Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the Link where you will find answers to multiple questions we receive Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK . click apply for full job details
Overview Site Name: UK - London - New Oxford Street, Stevenage, Upper Providence, Wavre Posted Date: Feb 2 2026 We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK GSK Associate Director, Decision Science for Clinical Operations This is an exciting opportunity to channel your passion for innovation in the field of Statistics and Data Science to help shape the future of the Biostatistics function and transform the way in which GSK uses data and quantitative thinking to drive decision-making in R&D. Biostatistics is the single-largest functional group of Statisticians, Programmers and Data Scientists within GSK R&D, numbering approx. 900 permanent people in the US, UK, Europe and India. Our mission is to put statistical thinking at the heart of R&D decision-making, to ensure that predictive models, well-designed experiments, and trials deliver robust evidence as the input to those decisions, ultimately making the R&D process more efficient. We are investing in our cutting-edge innovation capabilities by expanding the Statistics & Data Science Innovation Hub (SDS-IH) led by Prof Nicky Best. The vision of SDS-IH is to be the catalyst for innovation and advanced data-driven decision making. In this role, you will work closely with SDS-IH to embed sophisticated analytics into Global Clinical Operations (GCO), enabling stakeholders to make timely, robust, and impactful decisions. As the Associate Director of Decision Science for Clinical Operations, you will serve as a strategic thought partner to senior R&D leadership, architecting the future of how GSK plans and executes clinical trials. Your mission is to embed sophisticated analytics and data-driven frameworks into the core of GCO. You will frame and model complex operational scenarios, quantify risks and trade-offs, and challenge assumptions to discover and unlock added value for high-impact R&D projects. By translating analytical insights into clear, actionable strategies, you will drive decision quality and accelerate the delivery of new medicines to patients. In this role you will be involved in Strategic & Facilitative Leadership Partner with GCO's Decision Analytics team to lead high-stakes strategic discussions with clinical development leadership to frame complex business problems, develop differentiated options, and define clear analytical pathways. Synthesize diverse evidence, including empirical data and expert judgment, to construct cohesive decision models that guide strategy. Influence key investment and operational decisions by translating complex model outputs into compelling narratives and actionable recommendations for executive audiences. Advanced Modeling & Analytics Implement advanced decision models to quantify risk and identify value-add opportunities in study timelines and resource allocation. Deliver robust predictive models for critical operational challenges, including patient recruitment, site performance, and milestone attainment, to create value optimal and risk-aware delivery strategies. Identify and champion non-obvious value-add opportunities by applying innovative analytical approaches to complex clinical operations challenges. 3. Technical Innovation & Capability Development Drive the design and deployment of scalable analytics solutions, including production-ready models, automated monitoring systems, and real-time data pipelines. Champion best-in-class DevOps practices, including version control (Git), CI/CD pipelines, and automated testing to ensure robust, reproducible, and scalable solutions. Train and mentor colleagues on the use of tools, methods, and structured decision frameworks to build organizational capability. Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: PhD (preferred) in a quantitative field (e.g., Data Science, Statistics, Computer Science, Operations Research, Decision Analysis) or MSc with equivalent experience in the pharmaceutical or biotech industry. Proven expertise designing and building flexible decision models (e.g., Monte Carlo simulation, Bayesian analysis, scenario planning, sensitivity analysis) to quantify risk and value trade-offs. Expertise in Python or R with the ability to adapt models. Knowledge of the drug development lifecycle and Clinical Operations workflows. Track record of leading and mentoring technical teams to deliver data science solutions with measurable business impact. Exceptional communication and influencing skills, with the ability to distill complex analyses into compelling recommendations for senior leadership in a matrix environment. Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Hands-on experience with DevOps best practices, including Git, CI/CD, and testing. Therapeutic area depth, including knowledge of clinical development and trial design. Direct Clinical Operations experience. Decision Analysis or Management Consulting experience focused on pharmaceutical strategy or operations. Expertise in advanced methods such as Bayesian statistics, machine learning, and enrollment simulation Closing Date for Applications - 24th February 2026 Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the Link where you will find answers to multiple questions we receive Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK . click apply for full job details
Novo Nordisk A/S
Oxford, Oxfordshire
Principal Automation Scientist, In Vitro Cell based Screening and Mechanistic Profiling Category: Research Location: Oxford, South East, GB This role isn't just about doing science - it's about reinventing how it's done. As a subject matter expert you will lead initiatives to transform functional genomics and cell based screening through automation and application of digital tools, turning in vitro discovery into a smarter, faster engine for breakthrough targets. Your new role As a Principal Automation Scientist in the In Vitro Discovery & Delivery (IDD) department, you will define and deploy automation solutions and implement digital applications to accelerate data generation for in vitro functional genomics, cell based screening, and large scale mechanistic profiling. You will lead the design, deployment and adoption of automated solutions tailored to complex in vitro cell based workflows, drive the choice and use of digital data applications and FAIR aligned practices to scale throughput, and ensure reproducibility for predictive target discovery across the IDD team based in Oxford. You will be instrumental in the team's ability to generate high quality multi modal datasets to improve the probability of success for novel targets and pipeline projects, supporting more informed target nominations and de risking portfolio decisions. Your responsibilities will include: Strategic leadership: Define roadmaps and cross functional programs to transform in vitro target discovery through automation, advanced data capture and multi omic integration. Automation & digital systems: Evaluate and implement scalable, production ready solutions (robotics, LIMS/ELN integrations, data and imaging pipelines) to standardise experimental execution and data capture. FAIR data & tooling: Drive enterprise adoption of FAIR principles; set metadata, data model and standards and champion data provenance and accessibility. Advanced analysis & ML: Oversee statistical frameworks, scalable analysis pipelines and fuel machine learning models with data for predictive target discovery; ensure validation, explainability and deployment. Stakeholder engagement: Act as senior partner to Target Discovery, Functional Genomics, Technology Leaders, Digital Biology, Biology AI, IDD US and Novo Nordisk automation engineers; build external collaborations with vendors, CROs, academia and industry partners. Your new department The In Vitro Discovery & Delivery (IDD) department, based at Novo Nordisk Research Centre in Oxford is part of Novo Nordisk Global Research. As a state of the art target discovery and validation research department, it is responsible for identifying novel targets with mechanisms of action for diseases aligned with Novo Nordisk therapy area priorities. The centre uses innovative and unbiased in silico and in vitro human centric collaborative approaches to identify new therapeutic opportunities for type 2 diabetes and obesity, and their associated cardiometabolic co morbidities including MASH, and cardiovascular disease. The department also drives productive collaborations with academia (particularly the University of Oxford) and biotechnology partners. The In Vitro Science team is part of a global organisation, including a team based at the Novo Nordisk research centre in Boston. Together, we work closely with our therapy area partners in the Global Research in Boston and Denmark to progress novel targets into Novo Nordisk's early project pipeline. Your skills & qualifications PhD or MSc in life sciences, computational biology, or related field. Extensive experience with medium to high throughput in vitro functional genomics and cell based screening, automation and digital workflows. Proven track record implementing FAIR data practices and deploying digital tools to support data analytics at scale, ensuring future proof data usage. Strong coding, data engineering and automation platform experience; familiarity with cloud/ML pipelines desirable. Outstanding communication abilities and effective interpersonal collaboration skills. Working at Novo Nordisk Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you're not just starting a job - you're becoming part of a story that spans generations. Deadline 13th February 2026. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk, we're not chasing quick fixes - we're creating lasting change for long term health. For over 100 years, we're driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger - a legacy of impact that reaches far beyond today.
Principal Automation Scientist, In Vitro Cell based Screening and Mechanistic Profiling Category: Research Location: Oxford, South East, GB This role isn't just about doing science - it's about reinventing how it's done. As a subject matter expert you will lead initiatives to transform functional genomics and cell based screening through automation and application of digital tools, turning in vitro discovery into a smarter, faster engine for breakthrough targets. Your new role As a Principal Automation Scientist in the In Vitro Discovery & Delivery (IDD) department, you will define and deploy automation solutions and implement digital applications to accelerate data generation for in vitro functional genomics, cell based screening, and large scale mechanistic profiling. You will lead the design, deployment and adoption of automated solutions tailored to complex in vitro cell based workflows, drive the choice and use of digital data applications and FAIR aligned practices to scale throughput, and ensure reproducibility for predictive target discovery across the IDD team based in Oxford. You will be instrumental in the team's ability to generate high quality multi modal datasets to improve the probability of success for novel targets and pipeline projects, supporting more informed target nominations and de risking portfolio decisions. Your responsibilities will include: Strategic leadership: Define roadmaps and cross functional programs to transform in vitro target discovery through automation, advanced data capture and multi omic integration. Automation & digital systems: Evaluate and implement scalable, production ready solutions (robotics, LIMS/ELN integrations, data and imaging pipelines) to standardise experimental execution and data capture. FAIR data & tooling: Drive enterprise adoption of FAIR principles; set metadata, data model and standards and champion data provenance and accessibility. Advanced analysis & ML: Oversee statistical frameworks, scalable analysis pipelines and fuel machine learning models with data for predictive target discovery; ensure validation, explainability and deployment. Stakeholder engagement: Act as senior partner to Target Discovery, Functional Genomics, Technology Leaders, Digital Biology, Biology AI, IDD US and Novo Nordisk automation engineers; build external collaborations with vendors, CROs, academia and industry partners. Your new department The In Vitro Discovery & Delivery (IDD) department, based at Novo Nordisk Research Centre in Oxford is part of Novo Nordisk Global Research. As a state of the art target discovery and validation research department, it is responsible for identifying novel targets with mechanisms of action for diseases aligned with Novo Nordisk therapy area priorities. The centre uses innovative and unbiased in silico and in vitro human centric collaborative approaches to identify new therapeutic opportunities for type 2 diabetes and obesity, and their associated cardiometabolic co morbidities including MASH, and cardiovascular disease. The department also drives productive collaborations with academia (particularly the University of Oxford) and biotechnology partners. The In Vitro Science team is part of a global organisation, including a team based at the Novo Nordisk research centre in Boston. Together, we work closely with our therapy area partners in the Global Research in Boston and Denmark to progress novel targets into Novo Nordisk's early project pipeline. Your skills & qualifications PhD or MSc in life sciences, computational biology, or related field. Extensive experience with medium to high throughput in vitro functional genomics and cell based screening, automation and digital workflows. Proven track record implementing FAIR data practices and deploying digital tools to support data analytics at scale, ensuring future proof data usage. Strong coding, data engineering and automation platform experience; familiarity with cloud/ML pipelines desirable. Outstanding communication abilities and effective interpersonal collaboration skills. Working at Novo Nordisk Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you're not just starting a job - you're becoming part of a story that spans generations. Deadline 13th February 2026. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk, we're not chasing quick fixes - we're creating lasting change for long term health. For over 100 years, we're driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger - a legacy of impact that reaches far beyond today.
Visa Inc.
At Visa, we are passionate about making a difference. We lead the way in disrupting fraud from multiple vectors. In this role you will be joining an exciting, innovative business new to the Visa family. At Featurespace, we are the world leader in Enterprise Financial Crime prevention, using cutting-edge machine learning technology to fight fraud and money laundering. As the inventors of Adaptive Behavioral Analytics and creators of the ARIC platform, we are trusted by customers across 180+ countries. As a Senior Software Engineer, you will help shape the future of our SaaS platform, playing a key role in delivering next-generation fraud prevention solutions at scale. The Opportunity As a Senior Software Engineer at Featurespace, you will play a pivotal role in designing, building, and scaling our global, multi-tenant SaaS platform. This hands-on role offers the chance to make a significant impact by leveraging cutting-edge technologies to combat financial crime and deliver innovative solutions to customers worldwide. If you thrive in a collaborative, innovative, and fast-paced environment, this is your chance to lead, mentor, and shape the future of our platform while delivering high-impact solutions in a startup-style environment. In this role, you will: Lead the design and development of services and infrastructure for our SaaS platform, utilizing technologies like Java, Python, Rust and AWS. Own and drive complex technical projects, guiding the team through architectural discussions and implementation to ensure scalability, maintainability, and performance. Collaborate across teams with engineers, product managers, designers, and data scientists to design and build end to end features that solve real customer problems. Partner with internal stakeholders to gather and refine product requirements, aligning them with technical strategies to enhance our platform's capabilities. Optimize cloud infrastructure and managed services, ensuring our systems are secure, performant, and scalable as our customer base continues to grow globally. Mentor junior engineers, foster best practices in code quality, automated testing, and architecture decisions across the team. Troubleshoot and resolve performance bottlenecks in our multi tenant architecture, ensuring uptime and reliability across the tech stack. Take operational responsibility for the services owned by your team, including participation in on call rotations to ensure the health of production services. Why Join Us? Be part of a growing, passionate team that's leading the fight against financial crime with innovative technology. Work on impactful projects that shape the future of fraud prevention and AML solutions. Collaborate with a talented group of engineers in a fast paced, learning focused environment. This is a hybrid position. There is an expectation of at least 3 days in the office per week. Basic Qualifications Work experience with a Bachelor's Degree or an Advanced Degree (e.g., Masters, MBA, JD, MD, or PhD) Required experience: Proven experience as a Software Engineer or Senior Software Engineer, ideally within a high scale SaaS environment. Proficiency programming in Java or Python. Strong understanding of systems design, data structures, and algorithms for building distributed systems. Ability to lead technical projects, mentor team members, and influence architectural decisions. A commitment to automated testing practices and ensuring the reliability of systems. Strong skills in troubleshooting and optimizing performance in large, distributed systems. Great to have: Experience working in fraud prevention or financial technology domains. Familiarity with relational and NoSQL databases in production environments (e.g., PostgreSQL, DynamoDB). Experience with large scale data processing, storage technologies, and RESTful API design. Hands on experience with AWS services such as Lambda, ECS, S3, RDS. Familiarity with Kubernetes. Knowledge of message queueing systems and event driven architectures. Experience with CI/CD pipelines, source control, and modern development environments. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
At Visa, we are passionate about making a difference. We lead the way in disrupting fraud from multiple vectors. In this role you will be joining an exciting, innovative business new to the Visa family. At Featurespace, we are the world leader in Enterprise Financial Crime prevention, using cutting-edge machine learning technology to fight fraud and money laundering. As the inventors of Adaptive Behavioral Analytics and creators of the ARIC platform, we are trusted by customers across 180+ countries. As a Senior Software Engineer, you will help shape the future of our SaaS platform, playing a key role in delivering next-generation fraud prevention solutions at scale. The Opportunity As a Senior Software Engineer at Featurespace, you will play a pivotal role in designing, building, and scaling our global, multi-tenant SaaS platform. This hands-on role offers the chance to make a significant impact by leveraging cutting-edge technologies to combat financial crime and deliver innovative solutions to customers worldwide. If you thrive in a collaborative, innovative, and fast-paced environment, this is your chance to lead, mentor, and shape the future of our platform while delivering high-impact solutions in a startup-style environment. In this role, you will: Lead the design and development of services and infrastructure for our SaaS platform, utilizing technologies like Java, Python, Rust and AWS. Own and drive complex technical projects, guiding the team through architectural discussions and implementation to ensure scalability, maintainability, and performance. Collaborate across teams with engineers, product managers, designers, and data scientists to design and build end to end features that solve real customer problems. Partner with internal stakeholders to gather and refine product requirements, aligning them with technical strategies to enhance our platform's capabilities. Optimize cloud infrastructure and managed services, ensuring our systems are secure, performant, and scalable as our customer base continues to grow globally. Mentor junior engineers, foster best practices in code quality, automated testing, and architecture decisions across the team. Troubleshoot and resolve performance bottlenecks in our multi tenant architecture, ensuring uptime and reliability across the tech stack. Take operational responsibility for the services owned by your team, including participation in on call rotations to ensure the health of production services. Why Join Us? Be part of a growing, passionate team that's leading the fight against financial crime with innovative technology. Work on impactful projects that shape the future of fraud prevention and AML solutions. Collaborate with a talented group of engineers in a fast paced, learning focused environment. This is a hybrid position. There is an expectation of at least 3 days in the office per week. Basic Qualifications Work experience with a Bachelor's Degree or an Advanced Degree (e.g., Masters, MBA, JD, MD, or PhD) Required experience: Proven experience as a Software Engineer or Senior Software Engineer, ideally within a high scale SaaS environment. Proficiency programming in Java or Python. Strong understanding of systems design, data structures, and algorithms for building distributed systems. Ability to lead technical projects, mentor team members, and influence architectural decisions. A commitment to automated testing practices and ensuring the reliability of systems. Strong skills in troubleshooting and optimizing performance in large, distributed systems. Great to have: Experience working in fraud prevention or financial technology domains. Familiarity with relational and NoSQL databases in production environments (e.g., PostgreSQL, DynamoDB). Experience with large scale data processing, storage technologies, and RESTful API design. Hands on experience with AWS services such as Lambda, ECS, S3, RDS. Familiarity with Kubernetes. Knowledge of message queueing systems and event driven architectures. Experience with CI/CD pipelines, source control, and modern development environments. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
