Bartosz Marcin Wróblewski

Mathematician • Quantitative Analyst • Software Engineer

Quantitative software developer and mathematician with 10+ years of experience spanning academic research, financial modeling, and software engineering. Brings a strong theoretical background combined with practical experience building production risk systems and valuation software for global financial institutions.

Professional Experience

DXC Luxoft

Senior Software Developer Sep 2024 – Present

Senior engineering consultant in a G-SIB bank’s Risk & Compliance group, supporting a Market Risk system migration.

  • Partnered 1-on-1 with a senior quant to build an internal benchmark pricing model for callable bonds, replacing legacy vendor software.
  • Optimized and deployed C++/Python valuation engines for fast portfolio repricing.
  • Built an internal P&L valuation framework to reprice lending portfolios under simulated market shocks.
  • Built the CI/CD testing framework and agent harness to automate model testing and deployment.
  • Acted as de facto tech lead, establishing a cross-functional team of quants and software engineers.

Technologies: Python, C++, QuantLib, ORE, SWIG, Pydantic, Polars, Pandera, GitLab, Devin.

Syberry

Financial Software Engineer Sep 2023 – Sep 2024

Software engineering consultant for a multi-strategy hedge fund, building market risk infrastructure for a new financial platform.

  • Integrated the Axioma risk system into the platform to compute cross-asset exposures, VaR, stress testing, and equity factor risk models.
  • Handled technical communications with Axioma representatives to address analytics questions and platform integration issues.
  • Built Dagster data pipelines to ingest and transform cross-asset portfolio trading data into PostgreSQL.
  • Worked directly with the fund’s CRO and risk managers to define technical specs and business requirements for software engineers.

Technologies: Python, Axioma, Dagster, Pytest, Pandas, NumPy, SQLAlchemy, PostgreSQL, AWS.

Bank of New York Mellon

Senior Specialist, Model Development Jul 2022 – Sep 2023

Model development specialist in Middle Office Market Risk. Focused on VaR/SVaR modeling, stress testing frameworks, and portfolio sensitivity analytics.

  • Developed and maintained C++ market risk models (VaR, SVaR) and stress testing frameworks.
  • Updated stress testing models and executed Market Risk RWA projection runs for the CCAR 2023 submission.
  • Developed a method to reconcile OIS and LIBOR interest rate sensitivities for bonds and derivatives between Front Office and Middle Office systems.
  • Calibrated and benchmarked Murex vendor pricing models against internal pricing frameworks.
  • Re-implemented a legacy C++ volatility surface builder in Python without loss of performance.

Technologies: C++, Murex, MS SQL, Python, QuantLib, Excel, VBA.

Credit Suisse

Quantitative Analyst Nov 2018 – Jun 2022

Front-office quantitative analyst in the global QuantStrats department, supporting Credit Derivatives and Longevity trading desks (CDS, Structured Notes, Longevity Swaps).

  • Maintained and updated the in-house valuation framework across bank systems.
  • Maintained the Structured Notes valuation engine and built credit curve market object builders.
  • Updated credit curve fitting models to switch IBOR legs to OIS legs in preparation for LIBOR transition.
  • Extended trader pricing sheets with logic to price instruments with compounding rate financing.
  • Migrated legacy longevity-based derivatives tools to 64-bit execution environments.
  • Provided direct front-office support to traders and Middle Office on ad hoc pricing, risk, and valuation investigations.

Technologies: F#, C++, C#, COM, Excel, VBA, Perforce, TeamCity.

Academic Experience

Wrocław University of Science and Technology

Teaching Assistant 2024 – 2025

Taught computer science and software development courses for undergraduate Mathematics students (Introduction to Programming, Programming).

  • Covered Python fundamentals, OOP, data structures, virtual environments, decorators, closures, logging, etc.
  • Taught essential development tools and workflows, including Bash, Git, and LaTeX.

University of Wrocław

PhD Candidate & Junior Researcher 2016 – 2019

Researched non-local evolution equations within the Institute of Mathematics (doctoral program incomplete).

  • Investigated evolution equations involving non-local unbounded operators (Fractional Laplacian).
  • Contributed to NCN research grant Nonlocal Parabolic Problems.
  • Taught undergraduate math courses, including Differential Equations, Honors ODEs, and Functional Analysis (Teaching details).

University of Warsaw

Research Intern & Teaching Assistant 2016 – 2017

Research internship and teaching assistantship at the Faculty of Mathematics, Informatics and Mechanics (MIMUW).

Education

Warsaw School of Economics

Postgraduate Degree in Investment Banking 2024 – 2025

Thesis: Risk Management of Merger Arbitrage Portfolios

University of Wrocław

MSc in Theoretical Mathematics 2014 – 2016

Thesis: The anomalous diffusion and fractional Laplacian on the half-line

Wrocław University of Science and Technology

BSc in Theoretical Mathematics 2011 – 2014

Back to top