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Position Overview Job Title: Quantitative Strategist - Rates Corporate Title: Vice President Location: New York, NY Overview GSA concentrates Deutsche Bank’s quantitative and modelling expertise within a single unit. With group-wide responsibility for model development, GSA takes a cross-business and cross-functional approach to solving quantitative modelling, analytics scenarios, and rolls out common development standards. To be successful in this role, you’ll need a deep understanding of system architecture and programming. You’ll be supporting the development and implementation of the strategic Kannon platform, delivering intraday and end of day pricing, risk, and P&L information to our fixed income trading desks. What We Offer You A diverse and inclusive environment that embraces change, innovation, and collaboration A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days Employee Resource Groups support an inclusive workplace for everyone and promote community engagement Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits Educational resources, matching gift and volunteer programs What You’ll Do The candidate should have multiple years of experience at a leading financial trading or software firm in the areas of: Fixed-income derivatives products, markets, and hedging requirements, in particular experience with cash, linear or non-linear interest rate products is desirable Theory and implementation of derivatives pricing and relative value models Enterprise-level software engineering. Experience with good design of real-time risk, dependence graphs, distributed computation, and machine learning desirable Work in partnership with Trading, Structuring, Technology, and Operations to drive the build-out of the strategic analytics platforms Responsible for implementing market data functionality in Kannon for Fixed Income & Currencies (FIC), covering IR curves, Inflation, IR vols, and other market data Analysis, design, and development of analytics for the desk within Kannon platform Strong focus on business-driven opportunities and bringing innovative and quantitative ideas to solve complex problems for the desk Foster a collaborative and supportive environment by helping junior members of the team and encouraging them to grow their experience How You’ll Lead Clear communication with Trading, Risk and Valuation Control, Research, and Technology Team-oriented, attentive to detail, self-starting, enthusiastic work habits Contribute to the strategic direction and evolution of the platform Skills You’ll Need Strong object-oriented programming skills in C++ / Python, or other object-oriented language, A background in computer science is a plus Experience working on large scale software development projects in C++ and/or Python Excellent written / verbal communication skills Ability to multi-task different projects and prioritize in a fast-paced production environment Attention to detail and excellent problem solving & numerical skills Skills That Will Help You Excel Previous strats/quant/developer experience working in a front office / trading floor environment Knowledge of interest rate derivatives products, risk and P&L, market data is a plus Academic background in Computer Science / Mathematics / Financial Engineering / Quantitative Finance Ability to work on both “back end” (analytics/pricing code) as well as “front end” (user-facing application / user interface (UI) code) An open mind and aspiration to use, learn, and extend a large codebase designed to solve complex business problems Expectations It is the Bank’s expectation that employees hired into this role will work in the New York City office in accordance with the Bank’s hybrid working model. Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion. The salary range for this position in New York City is $155,000 to $252,500. Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.