Career Profile

Data professional with 8+ years of success in delivering impactful analytical data science and statistical projects. Expert in statistical programming, adept at project management, and skilled in communicating complex ideas to diverse stakeholders. With a strong analytical foundation rooted in a quantitative-focused economics background, particularly in econometrics, I bring a deep understanding of data-driven decision-making. Proven leader in developing statistical models, R package development, and as a Product Owner. A collaborative team player with effective communication skills, passionate about agile ways of working and adapting to new technologies for optimal project outcomes.

Experiences

Quantitative Analyst & Product Owner

09/2023 - Present
UBS AG, Zurich, Switzerland

Product ownership in an agile set-up, responsible for delivery of:

  • Responsible for Pillar 2 (Stress) / Provisions / Climate Risk Stress Models for the International Residential Mortgages Portfolio (Credit Risk).
  • Integration of Credit Suisse Models and data for the portfolio
  • Technical Leadership by effectively guiding a cross-functional team of 13 quantitative analysts, software engineers and data engineers in an agile environment.

Senior Risk Modeler

03/2021 - 08/2023
Credit Suisse AG, Zurich, Switzerland

Responsibilities in context of Pillar-1 model development:

  • Development of advanced internal ratings-based (A-IRB) models for credit risk predictions.
  • Leadership in development of internal R packages.
  • Responsibility for critical relational database concerning credit loss rates, used for model development and model monitoring.
  • Regulatory topics, e.g. analysis of conservatism of models, regulatory uplifts, model implementation checks.

Statistical Modeler

07/2018 - 02/2021
Lowell Financial Services GmbH, Essen, Germany

Responsibilities as part of the portfolio analysis team:

  • Lead in development of statistical models and machine learning approaches for the prediction of cash flows for the purpose of portfolio re-valuation in the context of debt collection.
  • Various data-driven projects, e.g. data strategy, support in migration of databases to the cloud, business-cases for new data sources.
  • Regular re-valuation of portfolios of non-performing claims.

Risk Controller

09/2016 - 06/2018
Santander Consumer Bank AG, Mönchengladbach, Germany

Responsibilities in Risk Controlling departnment:

  • Support in then-ongoing IFRS-9 implementaion project.
  • Creation and automation of regular risk reports.
  • Development of models for Loan-Loss-Provision forecasting.

Certifications

Google Project Management

2022 - 2023
Google (CTAT6U596ARJ)

Deep Learning Specialization

2019 - 2020
DeepLearning.AI (WKGFY6KWSYDR)

Recent Achievements & Engagement

A selected list of exemplary projects at work where I took additional responsibilities.

Master Thesis Advisor (2023) - I was advising a student who is challenging traditional credit risk models using ML and external data at Credit Suisse. He was investigating my idea of applying transfer learning to improve internal models by incorporating models developed based on a larger external dataset.
Community Building (2022-2023) - I noticed that there was little exchange about coding practices and recent developments in the R and Python community at Credit Suisse, and initiated a regular exchange and a community of R coders who want to drive things forward.
Developer of various internal R packages (2018-2023) - Developed several internal R packages both at Lowell and at Credit Suisse for data management, harmonization of data sourcing, modeling, model monitoring, and visualizations. In that context, I also implement code versioning routines in order to enable other colleagues to contribute to the packages.

Skills & Proficiency

R (incl. h2o & package development)

SQL

Jira

Python (incl. scikit-learn, TensorFlow, Keras)

LaTex

git

SAS