Quantitative Strategist Specialist, AVP

Job Description

• The Algorithmic Solutions (AlgoS) team is part of the Group Strategic Analytics (GSA) seeking a highly motivated analyst to join our team. AlgoS is a small, dynamic team of specialists responsible for design and development of the financial algorithms on which regulatory risk measures such credit risk weighted assets, leverage ratio, expected credit losses and economic capital are based.
• The team has a deep understanding of existing and newly drafted regulations on capital requirement under both European and US rules with a particular focus on Credit Risk.
• AlgoS is an international team based in Frankfurt, London, and Pune. As a member of AlgoS, you will interact with a variety of divisions around the firm (Finance, Credit, Market Risk, Regulatory policy, Front Office, Audit and Technology). The interaction with numerous departments technology, front office, quant, credit risk methodology and reporting and the diverse projects that ensue allow for a challenging, varied, and multi-dimensional work environment.

• Algorithmic Design: Understand new and amended capital regime regulations and translate these into intelligent, strategic, and sustainable calculations supporting a more accurate and transparent analysis and reporting of its impact.
• Business Programming: Design, document and write algorithms in a bespoke AlgoS business language, from which machine generated code is automatically created.
• Technical build : Facilitate in direct partnership with other technology departments the creation of functional design and actual technical build and assure a precise and complete testing of the changes.
• Change Governance: Run algorithmic book of work in an Agile environment, face off Finance and GT change functions, and ensure successful build of solutions for continuous enhancements on existing and new regulatory framework.
• Sophisticated Data Analysis: Ad hoc analytic services for senior stakeholders on specific topics such as regulatory quantitative impact studies and what-if analysis for capital planning purposes.

• Master's degree in natural sciences, math, computer science, engineering, finance, or economics.
• At least 5 years of working experience, ideally in banking with exposure to credit risk and associated regulatory concepts.
• Engineer mind-set (curiosity, desire to change things, to design and shape processes, and to make projects happen).
• Work autonomously and feel comfortable working with teams that both welcome and challenge new ideas.
• Practical experience in programming (SAS, R, SQL, or Python) and working with big datasets.
• Practical experience on Basel 4/CRR3 and reporting frameworks FINREP, COREP and Pillar 3 and US and European local regulations is an added advantage.

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