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Quantitative Strategist; Rates; Vice President

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: Deutsche Bank AG
Full Time, Remote/Work from Home position
Listed on 2026-10-19
Job specializations:
  • Software Development
    Software Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 155000 - 252500 USD Yearly USD 155000.00 252500.00 YEAR
Job Description & How to Apply Below

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 Strat/quant experience on US Treasury dealer desk most preferred 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.
  • 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.
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”…
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