Hispanic Alliance for Career Enhancement
City, Belfast
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom
Rezolve Ai
Rezolve Ai (NASDAQ: RZLV) is a leader in AI-powered solutions for commerce and retail, focused on transforming customer engagement, streamlining transactions, and driving revenue growth. The company's BRAiN Suite of products - BRAiN Commerce, BRAiN Checkout, and BRAiN Assistant - harness the power of AI to provide personalized, frictionless shopping experiences and improve business outcomes for retailers and brands worldwide. Partnering with industry giants like Microsoft, and Google, Rezolve is pioneering the future of commerce. The M&A Manager supports the execution of mergers, acquisitions, joint ventures, and strategic investments. This includes financial modelling, valuation analysis, market research, due diligence coordination, and preparation of materials for senior management of Rezolve. Key Responsibilities 1. Financial Analysis & Valuation Build and maintain detailed financial models for potential transactions. Conduct valuation analyses, precedent transactions, and comparable company methods. Perform scenario and sensitivity analyses to assess financial impacts and deal viability. Use the analysis to prepare indicative term sheet. 2. Transaction Execution Support Assist in the preparation of deal model and investment memorandum. Support due diligence processes by coordinating with internal teams (finance, legal, operations) and external advisors. Track deal progress and maintain transaction documentation and data rooms. 3. Market & Target Research Conduct industry and company research to identify potential acquisition targets or strategic opportunities. Analyse market trends, competitor positioning, and potential synergies. Prepare strategic rationale summaries and deal flash (1-pager summary) for potential targets. 4. Stakeholder Collaboration Work closely with senior management, business unit leaders, and external advisors (investment banks, consultants, legal counsel). Support post-merger integration analysis and performance tracking, as required. Qualifications Education: Bachelor's degree in Finance, Economics, Accounting, Business, or related field. Experience: 1-3 years' experience in investment banking, corporate development, private equity, or management consulting. Strong understanding of financial statements, valuation techniques, and M&A processes. Technical Skills: Advanced proficiency in Microsoft Excel (financial modeling) and PowerPoint. Familiarity with financial databases (e.g., Capital IQ). $75,000 - $80,000 a year
Rezolve Ai (NASDAQ: RZLV) is a leader in AI-powered solutions for commerce and retail, focused on transforming customer engagement, streamlining transactions, and driving revenue growth. The company's BRAiN Suite of products - BRAiN Commerce, BRAiN Checkout, and BRAiN Assistant - harness the power of AI to provide personalized, frictionless shopping experiences and improve business outcomes for retailers and brands worldwide. Partnering with industry giants like Microsoft, and Google, Rezolve is pioneering the future of commerce. The M&A Manager supports the execution of mergers, acquisitions, joint ventures, and strategic investments. This includes financial modelling, valuation analysis, market research, due diligence coordination, and preparation of materials for senior management of Rezolve. Key Responsibilities 1. Financial Analysis & Valuation Build and maintain detailed financial models for potential transactions. Conduct valuation analyses, precedent transactions, and comparable company methods. Perform scenario and sensitivity analyses to assess financial impacts and deal viability. Use the analysis to prepare indicative term sheet. 2. Transaction Execution Support Assist in the preparation of deal model and investment memorandum. Support due diligence processes by coordinating with internal teams (finance, legal, operations) and external advisors. Track deal progress and maintain transaction documentation and data rooms. 3. Market & Target Research Conduct industry and company research to identify potential acquisition targets or strategic opportunities. Analyse market trends, competitor positioning, and potential synergies. Prepare strategic rationale summaries and deal flash (1-pager summary) for potential targets. 4. Stakeholder Collaboration Work closely with senior management, business unit leaders, and external advisors (investment banks, consultants, legal counsel). Support post-merger integration analysis and performance tracking, as required. Qualifications Education: Bachelor's degree in Finance, Economics, Accounting, Business, or related field. Experience: 1-3 years' experience in investment banking, corporate development, private equity, or management consulting. Strong understanding of financial statements, valuation techniques, and M&A processes. Technical Skills: Advanced proficiency in Microsoft Excel (financial modeling) and PowerPoint. Familiarity with financial databases (e.g., Capital IQ). $75,000 - $80,000 a year
LGBT Great
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 5-7 years of experience in banking or financial services, gained at either a top-tier consulting firm or within a commercial banking or capital markets environment Strong understanding of banking regulations, credit portfolio management and the requirements of IFRS9, Basel and European Regulation especially around Stress Testing and ICAAP Track record of successful project management, preferably within a commercial banking or consultancy environment and managing client relationships Excellent analytical skills and persistence in analytical and problem solving, quantitative approach to understanding problems in finance Hands-on experience with AI or GenAI tools and familiarity with LLM integration in financial services use cases a plus Willingness to travel and work onsite internationally including Africa if required (up to 15%) Good interpersonal and stakeholder management skills and the ability to build professional relationships and engage both technical and non-technical stakeholders Track record of business or proposition development, ability to synthesize and translate customer feedback into actionable and impactful propositions Fluent in English. Fluency in French or another European language beneficial Working knowledge of R and Python Education Minimum BA with an emphasis in Finance, Economics, Mathematics, or related quantitative field. MA or MSc degree a plus FRM or PRM or CFA designation a plus Responsibilities As an Assistant Director within Moody's Europe and Africa (EA) Banking Consulting Services team, you will work with leading banks, insurers, asset managers, corporates and other financial institutions to address their most critical financial risk challenges. The role will include delivering bespoke risk management solutions within the lending, single obligor and portfolio-level credit risk, finance, regulatory compliance, climate/ESG and cyber risk considerations. Core Focus Areas: Loan Origination & Underwriting: Support the design and implementation of credit decisioning frameworks Credit Risk Modeling: Assist in the development and deployment of models for single obligor and portfolio-level analysis Regulatory Compliance: Contribute to projects aligned with IFRS9, stress testing, ICAAP and other regulatory mandates Portfolio Management & Impairment Analytics: Help clients optimize portfolio performance and manage expected credit losses Climate & ESG Risk Integration: Participate in the integration of sustainability metrics into credit risk workflows This role requires a blend of deep banking SME expertise, technical knowledge, client engagement skills and strategic thinking to support banks and financial institutions in navigating complex risk and regulatory landscapes Key responsibilities include: Provide senior-level client engagement and stakeholder management across regional advisory projects spanning risk, finance, lending, and portfolio management by leading and actively contributing to the design, execution, and oversight of consulting engagements Drive the development of customised solutions leveraging Moody's proprietary platforms, data, and analytical methodologies, as well as acting as a trusted advisor, translating complex risk concepts into actionable insights for clients Design and deliver interactive methodology workshops for clients, integrating both quantitative and qualitative frameworks to demonstrate how Moody's tools and methodologies can be embedded into risk management workflows to enhance decision-making and governance Lead pre-sales activities, including proposal writing, client scoping sessions, and solution design. Identify and pursue new business opportunities across the EA region Collaborate with Sales, Product Management, Center of Excellence and Marketing teams to position Moody's advisory capabilities effectively, and relay client feedback that contributes to product enhancement evolution Represent Moody's at industry events, conferences, and client meetings to enhance visibility and thought leadership. Contribute to the creation of white papers, webinars, and conference presentations Support innovation in Moody's advisory offerings, including integration of Gen AI and digital transformation themes About the team The Banking Consulting Services team at Moody's Analytics serves as a strategic partner to financial institutions across Europe and Africa. We deliver specialized consulting and recurring services that empower our clients to measure and manage credit risk, comply with regulatory requirements, and optimize portfolio performance. By combining deep domain expertise with Moody's advanced analytics and technology, we provide tailored solutions in key areas such as loan origination, credit risk modelling, IFRS9 compliance, stress testing, and climate/ESG risk integration. Operating within Moody's Analytics, the EA team plays a pivotal role in cross-functional collaboration-partnering with Product, Strategy, Sales, Customer Success, and Research teams to ensure seamless delivery and high client satisfaction. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 5-7 years of experience in banking or financial services, gained at either a top-tier consulting firm or within a commercial banking or capital markets environment Strong understanding of banking regulations, credit portfolio management and the requirements of IFRS9, Basel and European Regulation especially around Stress Testing and ICAAP Track record of successful project management, preferably within a commercial banking or consultancy environment and managing client relationships Excellent analytical skills and persistence in analytical and problem solving, quantitative approach to understanding problems in finance Hands-on experience with AI or GenAI tools and familiarity with LLM integration in financial services use cases a plus Willingness to travel and work onsite internationally including Africa if required (up to 15%) Good interpersonal and stakeholder management skills and the ability to build professional relationships and engage both technical and non-technical stakeholders Track record of business or proposition development, ability to synthesize and translate customer feedback into actionable and impactful propositions Fluent in English. Fluency in French or another European language beneficial Working knowledge of R and Python Education Minimum BA with an emphasis in Finance, Economics, Mathematics, or related quantitative field. MA or MSc degree a plus FRM or PRM or CFA designation a plus Responsibilities As an Assistant Director within Moody's Europe and Africa (EA) Banking Consulting Services team, you will work with leading banks, insurers, asset managers, corporates and other financial institutions to address their most critical financial risk challenges. The role will include delivering bespoke risk management solutions within the lending, single obligor and portfolio-level credit risk, finance, regulatory compliance, climate/ESG and cyber risk considerations. Core Focus Areas: Loan Origination & Underwriting: Support the design and implementation of credit decisioning frameworks Credit Risk Modeling: Assist in the development and deployment of models for single obligor and portfolio-level analysis Regulatory Compliance: Contribute to projects aligned with IFRS9, stress testing, ICAAP and other regulatory mandates Portfolio Management & Impairment Analytics: Help clients optimize portfolio performance and manage expected credit losses Climate & ESG Risk Integration: Participate in the integration of sustainability metrics into credit risk workflows This role requires a blend of deep banking SME expertise, technical knowledge, client engagement skills and strategic thinking to support banks and financial institutions in navigating complex risk and regulatory landscapes Key responsibilities include: Provide senior-level client engagement and stakeholder management across regional advisory projects spanning risk, finance, lending, and portfolio management by leading and actively contributing to the design, execution, and oversight of consulting engagements Drive the development of customised solutions leveraging Moody's proprietary platforms, data, and analytical methodologies, as well as acting as a trusted advisor, translating complex risk concepts into actionable insights for clients Design and deliver interactive methodology workshops for clients, integrating both quantitative and qualitative frameworks to demonstrate how Moody's tools and methodologies can be embedded into risk management workflows to enhance decision-making and governance Lead pre-sales activities, including proposal writing, client scoping sessions, and solution design. Identify and pursue new business opportunities across the EA region Collaborate with Sales, Product Management, Center of Excellence and Marketing teams to position Moody's advisory capabilities effectively, and relay client feedback that contributes to product enhancement evolution Represent Moody's at industry events, conferences, and client meetings to enhance visibility and thought leadership. Contribute to the creation of white papers, webinars, and conference presentations Support innovation in Moody's advisory offerings, including integration of Gen AI and digital transformation themes About the team The Banking Consulting Services team at Moody's Analytics serves as a strategic partner to financial institutions across Europe and Africa. We deliver specialized consulting and recurring services that empower our clients to measure and manage credit risk, comply with regulatory requirements, and optimize portfolio performance. By combining deep domain expertise with Moody's advanced analytics and technology, we provide tailored solutions in key areas such as loan origination, credit risk modelling, IFRS9 compliance, stress testing, and climate/ESG risk integration. Operating within Moody's Analytics, the EA team plays a pivotal role in cross-functional collaboration-partnering with Product, Strategy, Sales, Customer Success, and Research teams to ensure seamless delivery and high client satisfaction. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.