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About the Role
Group Strategic Analytics (GSA) is seeking a Quantitative Strategist to join the Rates business in New York. This role involves developing quantitative analytics and market data capabilities for Fixed Income trading, with a focus on interest rates products, curves, volatility, pricing, risk, and P&L. It's a hands-on position combining financial modelling, software development, and market knowledge to address real-time business challenges.
Responsibilities
- Partner with Rates Trading, Structuring, and Technology to develop quantitative analytics supporting pricing, risk, P&L, and trading decisions
- Develop and enhance Rates market data and analytics, including interest-rate curves, volatility surfaces, inflation, and related market data
- Design and implement pricing, risk, and relative-value analytics across cash and interest-rate derivatives products
- Build scalable quantitative functionality within the strategic Kannon analytics platform using C++ and/or Python
- Analyze trading and market problems and translate business requirements into effective quantitative and technical solutions
- Contribute to the continued development of the Rates analytics platform through collaboration, innovation, and knowledge sharing across the team
Requirements
- Experience as a Quantitative Strategist, Quant Developer, Front-Office Developer, or similar quantitative professional within Fixed Income
- Strong knowledge of Rates products and markets, including cash products and/or linear or non-linear interest-rate derivatives
- Strong programming skills in C++ and/or Python, with experience developing production-quality quantitative analytics or financial applications
- Understanding of derivatives pricing, risk, hedging, market data, and P&L, combined with strong numerical and problem-solving skills
- Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs
- Experience supporting a U.S. Rates, U.S. Treasury, or related Fixed Income trading desk
- Knowledge of interest-rate curves, volatility, inflation products, or Rates derivatives
- Exposure to electronic trading, automated market-making, or execution analytics within Rates markets
- Experience with real-time pricing, risk, market data, distributed computation, or large-scale quantitative platforms
- Academic background in Mathematics, Computer Science, Physics, Engineering, Financial Engineering, Quantitative Finance, or another highly quantitative discipline
Skills
- C++
- Python
- Quantitative analytics
- Market data
- Fixed Income
- Rates products
- Derivatives pricing
- Risk management
- P&L analysis
- AI tools
Location
- New York, NY
Work Type
- Hybrid
Experience Level
- Associate
Education Level
- Mathematics
- Computer Science
- Physics
- Engineering
- Financial Engineering
- Quantitative Finance
Salary/Compensations
- $110,000 to $163,000
Benefits
- Hybrid working model
- Generous vacation, personal and volunteer days
- Employee Resource Groups
- Health and wellbeing benefits
- Retirement savings plans
- Parental leave
- Family building benefits
- Educational resources
- Matching gift and volunteer programs
About the Company
- Group Strategic Analytics (GSA) brings together Deutsche Bank’s quantitative modelling and analytics expertise across businesses.
- The team develops and delivers strategic analytics, pricing, risk, and P&L capabilities used across the Bank’s trading businesses.
- We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
- Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
Equal Opportunity
- Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.
- Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.