FactSet

Software Engineer: Intelligent Platform (Conversational AI) Software Engineer: Intelligent Platform (Conversational AI) Apply locations London, GBR time type Full time posted on Posted 30+ Days Ago job requisition id R24152 FactSet, a leading provider of financial information and analytics, helps the world's best investment professionals outperform. We've been recognized as one of FORTUNE's 100 Best Companies to Work for and a Best Workplace in the United Kingdom and France. Headquartered in Norwalk, CT, with over 9,600 employees worldwide and offices across North America, Europe, and Asia Pacific, FactSet has achieved $1.4 billion in annual revenues. The Opportunity: FactSet's Machine Learning team seeks a skilled Software Engineer to help us build and optimize the infrastructure powering our cutting-edge AI-driven financial applications. You'll have the opportunity to work with Natural Language Processing (NLP), Large Language Models (LLMs), and cloud technologies to create transformative solutions. What will you be doing? Cloud & Infrastructure Development: Design, deploy, and maintain a robust AWS-based infrastructure tailored for serving ML, NLP, and LLM-powered applications. LLM Integration & Federation: Play a key role in integrating LLMs and developing conversational AI systems that seamlessly interact with our existing ML workflows. Model & Application Deployment: Collaborate with data scientists and ML engineers to deploy and maintain machine learning models and applications in production environments. Software Engineering Excellence: Produce clean, well-tested, and scalable code. Develop dashboards and visualizations that make complex financial data accessible to our clients. Data Management: Engineer efficient pipelines to ingest, analyze, and process both structured and unstructured financial data. Cross-Team Collaboration: Partner effectively with other Engineering teams to ensure the success of shared projects. Minimum Requirements: 3+ years of hands-on software engineering experience in production environments. Critical Skills: Expertise in AWS cloud architecture and services (ECS, EC2, S3, Athena, Glue, etc.) Strong foundation in C#, Python, Docker, and API development. Familiarity with Search, ML/NLP concepts and experience working with ML teams. Excellent problem-solving skills and collaborative mindset. Highly Desirable/Additional Skills: Experience integrating Large Language Models and developing conversational AI solutions. Familiarity with deep learning libraries (Keras, PyTorch, TensorFlow) Experience with data processing tools (Pyspark, Hive) and databases (MongoDB, SQL, NoSQL) NLP expertise (nltk, SpaCy), especially with unstructured financial data. Understanding of financial applications and terminology. Education: BS or MS in Computer Science, Mathematics, or a related field. Why Join Us? Impactful Work: Shape the future of financial AI by contributing to high-visibility, client-facing applications. Innovative Environment: Be at the forefront of AI development, pushing the boundaries of LLMs and conversational AI. Supportive Team: Collaborate with world-class engineers and data scientists passionate about solving complex problems. At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. FactSet participates in E-Verify. FactSet is an Equal Opportunity Employer - M/F/Veteran/Disability/Sexual Orientation/Gender Identity About Us FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. Join a team of highly motivated, talented individuals who are empowered to find answers through creative technology.

Time left to apply End Date: March 31, 2025 (30+ days left to apply) Job requisition id R26624 At FactSet, we're working to be the best financial data provider. We need highly motivated, talented individuals empowered to find answers through creative technology to get there. As a Software Engineer in Data Solutions Engineering, you will be part of our Digital Transformation, a mission to automate our data acquisition, quality assurance, content creation, and analytics in a scalable cloud environment. With the guidance of financial experts, you will leverage these large data sets to improve the quality and extend the scope of FactSet's existing and next-generation products. You will be working on private market data, which are heterogeneous and voluminous datasets. With the right tools and problem-solving, we want to automate data collection at scale and infer information. The end goals are company classification, tag extraction, relationship mapping, and company valuation. There is huge potential for machine learning, analytics, and NLP. Your responsibilities: Build and scale an automatic data pipeline Ingest and analyze various data sources to drive innovation in content creation. Automate the acquisition, relevance scoring, and storage of incoming sources. Develop processes for data mining, data concordance, and data production. Explore and evaluate new data technologies to build a scalable, cloud-oriented data platform. Optimize data retrieval and develop dashboards and other visualizations for financial experts. Participate in different projects as a data scientist and data engineer Deliver clean, well-tested code that's reliable, maintainable, and scalable Build predictive models and communicate results with stakeholders Deploy working solutions Develop dashboards and other visualizations for financial experts. Develop processes for data collection, quality assessment, and quality control. Keep up to date / share your passions Stay up to date with state-of-the-art approaches and technological advancement Share your passion for science, ML, and technology Who are you? You have BS or MS in Computer Science or Mathematics related field. You have 3+ years of experience as a Software Engineer or Data Scientist. You have a successful history of writing and releasing production-grade code in an enterprise environment. You are a team player and adept at learning new technologies and client workflows You have experience working with Agile methodology. You have strong analytical skills You can communicate about complex subjects to non-technical stakeholders You are familiar with Terraform, Python , Pandas , and NumPy It is great if you have: Experience with Neural Networks / Deep Learning. Experience with information extraction, parsing, and segmentation. Experience with machine learning frameworks (sklearn ) and ML workflow. Experience with NLP libraries and text preprocessing (nltk, SpaCy, language models, ). Experience with cloud environments: AWS, Azure. Experience with business intelligence tools like Tableau or PowerBI. Experience working with LLMs. Experience working with AWS Services like EC2, RDS(Postgres), SQS, Sagemaker, MLflow, S3, API gateway, ECS. Experience in UI frameworks like VueJS is a plus. About Us FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. Join a team of highly motivated, talented individuals who are empowered to find answers through creative technology.

FactSet's product suite of smart analytics and unique data empower the world's leading financial service professionals to make more informed decisions every day. At our heart is an inclusive community unified by the spirit of going above and beyond. Our philosophy is to embrace diversity, and that our best ideas can come from anyone, anywhere, at any time. We continuously look ahead to advance the future and technology of our industry, by rolling up our sleeves to solve tough problems together, and by learning from our successes, as well as our failures. Being a software engineer at FactSet is to shape the future of investments technology. Our engineers use cutting edge technologies including machine learning, natural language processing, predictive analysis, and cloud computing to solve some of the investment community's greatest challenges - relying every step of the way on some of our most creative minds to create sleek and intuitive UIs that make our products among the industry's easiest to use. We're looking for hard-working and out-of-the-box thinkers from all software engineering disciplines to bring new perspective and fresh ideas to our team. Engineers are aligned with specific teams where they design and implement applications for integration within the FactSet product suite and deployment to investment professionals worldwide. Our engineers find the right balance between FactSet's flexible environment where everyone can contribute individually, yet at the same time cultivate a community where they can depend on each other for help, learning, and development. What you will be doing: FactSet relies on innovators like you to build and maintain the technology that helps us solve our clients' greatest challenges by being a powerful and reliable partner. You will be part of a global and fast-growing company where you will: Code for new releases, fixes and enhancements within a structured environment (including test driven development and agile approaches) Conduct ongoing reviews of system design and architecture Deliver clean, well-tested code that's reliable, maintainable and scalable Partner with other engineers in proposing and implementing new processes, designs and engineering practices that make the team more effective Take responsibility for software performance analysis and system tuning Wide range of roles available including web, services, infrastructure, dev-ops, data processing, database and full-stack development Job Requirements Passion and enthusiasm for software engineering and keeps up to date with the latest technologies Working towards a degree in Computer Science or related technology subject Good understanding of an object orientated language and familiarity with a scripting language Thorough understanding of data structures and algorithms Willingness to handle occasional on-call duties depending on team Why Life is Better as a FactSetter: We believe that a good working environment and happy people are key to success and we continuously look at ways to support this. FactSet has once again been included on the list of the UK Best Workplaces, which marks the 12th consecutive year. We consider this a testament to the great people, strong culture and benefits we have here. FactSet looks to foster a globally inclusive culture. From leadership commitment, to employee led resource groups, FactSet has diversity, equity, and inclusion as a priority. Read more about our priorities on our website. Reimbursement for eligible expenses related to the CFA, CIPM, CAIA and FRM exams Free lunch and daily fresh fruit Unlimited snacks and drinks, fully stocked kitchen Collaborative and social working environment No limit on volunteering opportunities Yearly 24-hour Hackathon Dedicated social committee Regular Engineering social events, including BBQs, happy hours, gaming nights VitalityHealth rewards for healthy living; free cinema tickets, discounted gym memberships and much more Pension, life and medical insurance, stock purchase plan Mentoring scheme and regular 1-2-1 meetings with your Team Lead As a new graduate, you will go through a 4-week training programme, which will teach you the ins and outs of our technology stack. After training, you'll be matched with a team suiting your skill set and interests; here you'll grow your career supported and challenged by a strong network of engineering colleagues from a range of backgrounds. FactSet is an organically grown company. We want to give our engineers the opportunity to grow and develop within the organisation and therefore always seek to promote internally rather than hire externally. We hire on a first come first serve basis, so we would encourage you to apply early to avoid disappointment.