Quantitative Python Developer

Quantitative Python Developer

Posted 5 days ago by Lorien

Negotiable
Inside
Undetermined
London Area, United Kingdom

Summary: The role of Quantitative Python Developer involves working on a rolling contract within a leading banking client, focusing on the Blackrock Model Risk Transformation Project. The developer will be responsible for building a standard code library for risk market models and credit, while addressing various IT challenges. This position requires interaction between teams and emphasizes the development of market risk models.

Key Responsibilities:

  • Develop Python code for the Blackrock Model Risk Transformation Project.
  • Build a standard code library for risk market models and credit.
  • Collaborate with teams focusing on market risk and credit risk.
  • Address IT challenges related to code migration and methodology adjustments.

Key Skills:

  • Quant Developer experience with Python.
  • Proficiency in Blackrock numeric data processing (numpy, scipy).
  • Experience in text data processing (pyarrow, pandas).
  • Knowledge of databases (sqlalchemy, psycopg).
  • Familiarity with parallelization techniques (multiprocessing, concurrent.futures).

Salary (Rate): undetermined

City: London Area

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Rolling Contract - Inside IR35 - Banking

Our industry leading banking client is looking for a quantitative python developer on a rolling contract.

Role/Responsibilities:

  • Python Blackrock Model Risk Transformation Project – System and Tooling Workstream – Building Standard Code Library for Risk Market Risk Models and Credit – Interaction between the two teams – Quant Developer – Market Risk than Credit Risk.
  • Building from the beginning – lots of IT Challenges – Python Code Migrating from library, tweaking, methodology.

Skills:

  • Quant Developer
  • Python:
  • Blackrock numeric data processing: numpy, scipy
  • text data processing: pyarrow, pandas
  • databases: sqlalchemy, psycopg
  • parallelization: multiprocessing, concurrent.futures