Quantitative Trader

Deutsche Bank•New York, NY

2d•$150,000 - $170,000

About The Position

Deutsche Bank New York Branch seeks a Quantitative Trader in New York, NY to develop innovations in quantitative trading, including opportunities for automation. The role involves managing and running electronic trading strategies across asset classes and applying quantitative methods and analytics to pricing, execution, liquidity, inventory, positions, and risk in fast-moving market environments. The position also involves collaborating across trading, research, sales, and technology teams to design and enhance electronic trading infrastructure and workflows.

Requirements

A Master’s degree in Finance, Financial Engineering, or a related field, or equivalent.
Two years of experience managing and running electronic trading strategies across asset classes, including pricing, execution, liquidity management, inventory management, position management, and real-time risk management in fast-moving market environments.
Experience developing, designing, validating, back-testing, and implementing electronic trading strategies using database languages including KDB/SQL and Python for systematic trading and trading analytics workflows.
Experience performing advanced statistical analysis and modelling, including performance attribution, market impact analysis, transaction cost analysis (TCA), financial modelling, and quantitative risk management.
Experience applying advanced mathematical and quantitative methods, including probability theory and optimization techniques, to analyze, develop, and validate pricing models across asset classes.
Experience collaborating cross-functionally with traders, quantitative researchers, sales, and technology teams to design and enhance electronic trading infrastructure and workflows.

Responsibilities

Manage and run electronic trading strategies across asset classes, including pricing, execution, liquidity management, inventory management, position management, and real-time risk management in fast-moving market environments.
Develop, design, validate, back-test, and implement electronic trading strategies using database languages including KDB/SQL and Python for systematic trading and trading analytics workflows.
Perform advanced statistical analysis and modelling, including performance attribution, market impact analysis, transaction cost analysis (TCA), financial modelling, and quantitative risk management.
Apply advanced mathematical and quantitative methods, including probability theory and optimization techniques, to analyze, develop, and validate pricing models across asset classes.
Collaborate with traders, quantitative researchers, sales, and technology teams to design and enhance electronic trading infrastructure, including automation, execution optimization, liquidity distribution, and data-driven trading decision frameworks across electronic trading platforms.