VP Quantitative Trading Engineer - Hybrid & Java

Deutsche Bank; New York (NY); Hybrid; USD 155,000 - 253,000; Full time

Benefits offered by this job

Hybrid work model

Generous vacation days

Volunteer days

Health and wellbeing benefits

Educational resources

Job summary

Deutsche Bank is seeking a Quantitative Trading Engineer (Java) in New York. This Lead Engineer will partner with the Quant Trading team to deliver quantitative pricing and trading solutions for Rates and Credit.

You will drive feature development, performance optimization, and robust trading infrastructure in a hybrid work model. The role requires strong Java and low latency experience, plus familiarity with e-trading systems and Python3/KDB.

Qualifications

• Strong Java development experience in trading or financial engineering environments.
• Proven track record in building high performance/low latency systems.
• Experience developing e-trading systems and coupled trading stacks.

Responsibilities

• Lead development of new features in trading strategies and the trading stack.
• Identify, diagnose, and resolve stability issues and performance bottlenecks.
• Participate in code reviews as both author and reviewer; ensure code quality.
• Collaborate with desk quants/traders and regional engineering peers to deliver solutions.

Skills

Java

High performance

Low latency

e-trading systems

Python3

KDB

AI tooling

Tools

Python3

KDB

Job description

Deutsche Bank is seeking a Quantitative Trading Engineer (Java) in New York. This Lead Engineer will partner with the Quant Trading team to deliver quantitative pricing and trading solutions for Rates and Credit.

You will drive feature development, performance optimization, and robust trading infrastructure in a hybrid work model. The role requires strong Java and low latency experience, plus familiarity with e-trading systems and Python3/KDB.