Credit Quantitative Strategist

Position Overview

Group Strategic Analytics (GSA) is part of the Group Chief Operation Office (COO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver efficiency, control, and transformation goals. You will join the quantitative credit Strats team working alongside Deutsche Bank’s European Flow Credit and Emerging Markets business. Our credit trading teams are committed to technology, and the partnership with quant strategists is crucial to the desk’s success. You will be a member of a small agile team based in London delivering risk, profit and loss (PNL) and pre‑trade flow and relative‑value analytics solutions to bond trading and sales.

Job Title

Credit Quantitative Strategist

Location

London

Corporate Title

Associate

What We’ll Offer You

A healthy, engaged, and well‑supported workforce are better equipped to do their best work and enjoy their lives inside and outside the workplace. We are committed to providing an environment with your development and wellbeing at its centre.

• Competitive salary and non‑contributory pension
• 30 days’ holiday plus bank holidays, with the option to purchase additional days
• Life Assurance and Private Healthcare for you and your family
• A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
• The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year

Your Key Responsibilities

• Development and support of daily risk and PNL systems
• Providing desk support to trading on live challenges and gathering requirements for potential solutions efficiently
• Implementing flow analysis management information systems (MIS) and reporting (e.g. volumes, market shares, hit rates, client profitability)
• Development of pre‑trade analytics to support trading decisions (e.g. computing trade relative‑value metrics and strategy backtesting)
• Provide quantitative modelling expertise to trading (e.g. portfolio optimisation, flow matching, trade prospect ranking)

Your Skills And Experience

• 2+ years of experience in a front‑office technical/quant role within investment banking
• Proficiency in programming, preferably C++, Python, kdb, Java or JavaScript, and working with standard SDLC tools in a collaborative environment (git/bitbucket/JIRA, etc.)
• Experience working with data, both in onboarding, cleaning and curating data in databases as well as analysis and presentation
• First degree in Maths/Natural Science/Computer Science/Engineering, PhD or Masters desirable
• Experience with machine learning and natural language processing is a bonus
• Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to explain complex concepts effectively

How We’ll Support You

• Coaching and support from experts in your team
• A range of flexible benefits that you can tailor to suit your needs
• We value diversity and, as an equal opportunities employer, we make reasonable adjustments for those with a disability, such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards)

Equal Opportunity Statement

We welcome applications from all people and promote a positive, fair and inclusive work environment.