Senior Quantitative Software Engineer, Deutsche Bank

Java, Intraday Risk

Salary not provided

Python

Java

C++

Senior and Expert level

London

Office located in Moorfields, London

Investment bank and financial services company

Open for applications

Investment bank and financial services company

1001+ employees

B2CB2BInvestingTradingFinancial Services

Open for applications

Salary not provided

Python

Java

C++

Senior and Expert level

London

Office located in Moorfields, London

1001+ employees

B2CB2BInvestingTradingFinancial Services

Company mission

To be the leading global provider of financial solutions for demanding clients, creating exceptional value for its shareholders and people.

Job

Company

Role

Who you are

Expert in server-side development in Java, including multi-threading and distributed systems programming
Understanding of Rates and Credit derivatives products, risk, and P&L
Experience developing front-office risk and P&L, trading and/or pricing applications
Bring a collaborative approach, desire to learn and have determination to succeed
Experience with Python and/or C++ beneficial

What the job involves

You will join the Debt Strats team within Group Strategic Analytics. The group is responsible for delivering platforms to solve quantitative problems for Investment Banking trading businesses
You will be part of the IRiS Intraday Risk and Profit & Loss (P&L) application team. IRiS is used by over 200 traders globally and provides ticking and event-driven intraday risk and P&L for Rates, Credit and Emerging Markets trading desks
The delivery team consists of quantitative business analysts, Java quantitative software engineers, C# engineers, platform engineers and testers, and uses JIRA to track and manage deliveries
Server-side development is done in Java utilising Oracle Coherence in a low latency, high-throughput, multi-threaded and highly distributed system
The platform runs on clusters of physical Redhat Linux servers, and utilises Oracle Coherence, Spring Framework, Hibernate, Oracle Exadata and Solace and Java Message Service (JMS) messaging
You will be responsible for developing risk and P&L functionality in Java, including analysing, designing, coding, and supporting functionality across trade sourcing, market data loading, static data, trade valuation, risk and P&L calculations, real-time aggregation functionality and performance optimisation for Rates, Credit, Emerging Markets and Equity business lines
Developing business-rich risk and P&L functionality in Java
Delivering robust, performant and reliable code in a highly multi-threaded and distributed environment
Working closely with business analysts, quants, traders and other stakeholders to understand requirements and deliver effective solutions
Supporting the business through a support rota including investigating queries and issues
Providing technical and business leadership for team members and management of deliveries

Salary benchmarks

Our take

Despite its roots in the nineteenth century, Deutsche Bank has seen strategic transformation at countless stages to remain competitive. For example, it recently launched Vert, a new digital payments company for SMEs, in collaboration with Fiserv. As a result, the company successfully filled the gap in the market for a user-friendly, all in one solution which would enable merchants to accept payments and manage money.

The company continues to benefit from its scale and reputation. Despite ongoing criticisms, its strong European ties and a global network means Deutsche Bank is well placed to help clients navigate through geopolitical and macroeconomic shifts, something that can’t be said so confidently of its competitors. Today, it operates in circa 60 countries.

Moving forwards, the company is focused on aligning more closely to environmental, social and governance (ESG) criteria to facilitate over €500B in sustainable finance and investments between 2020 and 2025.