Capgemini's Quantitative Development Systematic Equity Strategies team is looking to unlock the value of technology and build a more sustainable, more inclusive world by developing high-quality, robust, adaptive, and resilient solutions for investment management, quantitative analysis, and new product development.
Requirements
- Advanced Experience on Analytical/Software Engineering skills including Python, Java, SQL and Linux.
- 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.).
- 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
Responsibilities
- 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.
- 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.
Other
- 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
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Paid time off and paid holidays
