Deutsche Bank

Quantitative Trading

QuantitativeTradingEngineer(Java)-VicePresident

$155–155k New York, New York, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Quantitative Trading Engineer (Java) - Vice President at Deutsche Bank. Skills: Java, high performance and/or low latency applications, e-trading systems. Lead development of new features in both trading strategies and the overall trading stack. Identify, and resolve, stability issues and performance bottlenecks”

What You'll Achieve.

delivering robust, performant, and successful trading solutions

Industry & Context.

Quantitative Trading
Problems you'll solve

Identify, and resolve, stability issues and performance bottlenecks

What They're Looking For.

Must Have

Java, developing high performance and/or low latency applications, developing e-trading systems

Nice to Have

Python3, KDB, modern patterns for continuous delivery of software, delivering excellent technical solutions into production, deliver complex features independently and collaboratively, principals of computer engineering, technical degree

What You'll Do.

Lead development of new features in both trading strategies and the overall trading stack

stability issues and performance bottlenecks

Participate fully in code reviews as both author and reviewer

Work closely with engineering peers both locally and in other regions to deliver successful solutions

Form a successful partnership with desk quants/traders on a day to day basis to deliver valuable changes to your trading strategies

Work closely with the core platform engineering team to leverage

How You'll Work.

Team & Collaboration

partner with the Quant Trading team; integral part of Bank’s Quantitative Trading infrastructure working closely with the wider Starts group and the underlying Technology teams; Work closely with engineering peers both locally and in other regions; Form a successful partnership with desk quants/traders; Work closely with the core platform engineering team

Full Job Description

## _**Job Description:**_ **Job Title:** Quantitative Trading Engineer (Java) **Corporate Title:** Vice President **Location:** New York, NY **Overview** _As a Lead Engineer in our Quantitative Fixed Income Engineering team, you will partner with the Quant Trading team to deliver quantitatively led pricing and trading solutions for the Rates and Credit Businesses._ _You will need a passion for delivering high quality software using modern development practices. You will be an integral part of Bank’s Quantitative Trading infrastructure working closely with the wider Starts group and the underlying Technology teams. Success will be achieving by delivering robust, performant, and successful trading solutions._ _Deutsche Bank is investing heavily in technology, which means we are investing in you, join us here and you’ll constantly be looking ahead._ **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** * Lead development of new features in both 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 both locally and in other regions to deliver successful solutions **How You’ll Lead** * Form a successful partnership with desk quants/traders on a day to day basis to deliver valuable changes to your trading strategies * Work closely with the core platform engineering team to leverage, and improve upon,

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