VP Quantitative Trading Engineer — Hybrid & Impactful

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

Benefits offered by this job

Hybrid work model

Generous vacation days

Parental leave

Retirement savings plan

Educational resources & matching gifts

Job summary

Deutsche Bank in New York City is seeking a Lead Engineer for the Quantitative Fixed Income Engineering team to deliver quantitatively led pricing and trading solutions for Rates and Credit businesses. You will partner with the Quant Trading team, lead new feature development, and ensure robust, low-latency software in a hybrid work model.

The role requires strong Java skills, experience with high-performance systems, and collaboration with quants/traders.

Qualifications

• Strong Java development experience in high-performance/low-latency systems.
• Experience collaborating with quants/traders and platform teams.
• Familiarity with Python3 and KDB is beneficial.

Responsibilities

• Lead development of new features in trading strategies and the overall trading stack.
• Identify and resolve stability issues and performance bottlenecks.
• Participate fully in code reviews as both author and reviewer.
• Work closely with engineering peers locally and in other regions to deliver successful solutions.

Skills

Java

High performance/low latency

Python3

KDB

Education

Technical degree

Job description

Deutsche Bank in New York City is seeking a Lead Engineer for the Quantitative Fixed Income Engineering team to deliver quantitatively led pricing and trading solutions for Rates and Credit businesses. You will partner with the Quant Trading team, lead new feature development, and ensure robust, low-latency software in a hybrid work model.

The role requires strong Java skills, experience with high-performance systems, and collaboration with quants/traders.