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Maxim ReischMR
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Maxim Reisch

@maximreisch

I own FRTB methodology and deliver production market risk calculations from regulation to release.

Germany
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At LBBW, I own FRTB Standardised Approach methodology for Pillar 1 capital from regulatory interpretation and mathematical design through C# production delivery, validation sign-off, and release. I resolved critical FRTB calculation defects that reduced affected desk RWA by approximately 20% in production.

I build and maintain Python, C#, and SQL tools for FRTB, VaR, and SA-CCR calculations, with rigorous source control, testing, and deployment discipline. As Release Manager for the market risk production system, I coordinate methodology, IT, and testing; my automated regression framework reduced release change-scoping time by roughly 40%.

Previously at EY, I supervised SA-CCR implementation for a global investment manager, validated derivatives and fair-value models, and developed quantitative risk solutions across rates, FX, credit, and equity.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Karlsruhe Institute of Technology logoKT

Karlsruhe Institute of Technology

Master of Science, Business Mathematics

2016 - 2020

M.Sc. in Business Mathematics with focus on Computational Risk, Asset Management & Machine Learning. Thesis on Neural Network Prediction of Monthly Return Distributions Using Financial Ratios.

Tech stack

Software and tools used professionally

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