Position Overview
Position OverviewJob Title Credit Quantitative StrategistLocation LondonCorporate Title AssociateGroup Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank.You will join quantitative credit Strats team working alongside Deutsche Bank’s European Flow Credit and Emerging Markets business. Our credit trading businesses are fully committed to technology as a key differentiator of performance and the partnership with quant strategists is seen as crucial to the future success of the desk. 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. You will be a highly motivated self-starter and all‑rounder with a working understanding of credit markets and the associated credit modelling mathematics, as well as being able to build production quality software applications and reports to tight timescales using appropriate technologies. You will be based on the trading floor and required to rapidly react to trader/sales/management demands in traditional ways but also using techniques in natural language processing (NLP) and machine learning (ML) and artificial intelligence (AI) to maximize our return on the large‑scale data sets we curate.
What We’ll Offer You
- 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 in trading decisions (e.g. computing trade relative value metrics and strategy backtesting)
- Provide quantitative modelling expertise to trading (e.g. portfolio optimization, 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/javascript and in working with standard Software Development Lifecycle (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.
- Some experience of machine learning and natural language processing a bonus
- Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to be able 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)
We welcome applications from all people and promote a positive, fair and inclusive work environment.
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