Python/R Machine Learning Model Developer

Capgemini • New York, NY

3d • $80,420 - $92,000 • Hybrid

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Job Location : New York, NY (Onsite/ Hybrid)Job DescriptionWe are seeking a highly motivated Machine Learning professional skilled in Python/R to design, develop, and implement financial and risk models. The role involves working with cross‑functional stakeholders, applying statistical and ML techniques on large datasets, and supporting regulatory stress testing and business forecasting activities.

Requirements

• Strong proficiency in Python (R experience is a plus).
• Knowledge of machine learning algorithms and statistical modeling.
• Experience with regression models, time-series analysis, statistical tests, and ML model evaluation techniques.
• Ability to work with large structured/unstructured financial datasets.
• Excellent written and verbal communication skills.
• Ability to collaborate across teams and manage multiple workstreams.
• Relevant hands-on experience in model development, financial analytics, or risk modeling.
• Strong problem-solving and analytical thinking abilities.

Responsibilities

• Develop financial and risk models using Python/R for regulatory stress testing and enterprise risk management.
• Build model execution workflows for forecasting Balance Sheet, Fee Revenues, Macroeconomic Indicators, Expenses, and related risk metrics.
• Apply machine learning, statistical modeling, and data mining techniques to enhance model accuracy and pe
• Conduct sensitivity analysis, scenario analysis, and stress testing impact attribution.|
• Collaborate with stakeholders to define project plans, deliverables, and development timelines.
• Coordinate with business, analytics, and technology teams to ensure successful model integration.
• Support coding, testing, deployment, and documentation of financial and ML models.
• Develop tools and automated processes to monitor model performance and stability.
• Conduct statistical validation tests such as regression diagnostics, time‑series checks, hypothesis testing, and performance back-testing.
• Document methodologies, assumptions, and validation findings for audit and regulatory purposes.
• Create insights and analytical presentations using Python, JupyterHub, and visualization techniques.
• Prepare decks and reports for senior management and risk committees.
• Communicate model logic, results, and performance metrics in clear and concise formats.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed