Python Developer

Python Developer

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.

The Quantitative Development Systematic Equity Strategies team is part of Asset Management’s Quantitative Research & Investment Technology group that partners with various investment teams and projects. We build and ‘own’ high quality, robust, adaptive, resilient solutions that are critical to investment management, quantitative analysis, and new product development.

• Bachelor's degree (or above) in a quantitative or computational field such as Statistics, Computer Science or Applied Mathematics
• 8+ years of experience in complex software development and working with investment professionals
• Deep understanding and implementation of software excellence concepts (Reliability, Extendibility, Resiliency, Flexibility, Pluggability, Intuitive Problem Solving, Risk mitigation, Technical debt, Scope, estimation, quality, CI/CD, Unit testing, Functional testing, Load testing, Parallel Processing, Resource Synchronization, Performance, Monitoring, Alerts, Logging, Tracing, Observability, Supportability etc.)

• Advanced Experience on Analytical/Software Engineering skills including Python, Java, SQL and Linux.
• Own the implementation of a research project through the entire software development lifecycle applying a full-stack implementation.
• Substantial Experience with AWS cloud environment development and deployment is a plus.
• Sophisticated understanding of quantitative techniques and methods, statistics, and econometrics – including probability, linear regression, and time series data analysis.
• Good experience in either equities, fixed income, or alternative asset classes.
• Consistent track record in hands‑on ‘development ownership’ of complex software solutions.
• Ability to effectively connect with multiple partners, including fundamental and quantitative researchers, divisional partners and senior management.
• Thrive in working with fast paced competing requirements and effectively delivering business needs.

• Lead/Own the implementation of a research project through the entire software development lifecycle applying a full-stack implementation.
• Intuitively apply advanced analytics and quantitative concepts to support investment needs and develop new solutions.
• Add scale, reliability, and repeatability to research through software development standard methodologies.
• Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace.
• Thoughtfully apply sophisticated analytics and quantitative concepts to support investment needs and develop new solutions.
• Adaptive and effective team player with strong collaboration.

• Flexible work
• Healthcare including dental, vision, mental health, and well‑being programs
• Financial well‑being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well‑being benefits like subsidized back‑up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range…