Quant Model Developer - Banking

Job Description:

What will you be doing?

- Responsibility for the implementation of models through a full Software Development Life Cycle (SDLC) utilizing Python & DevOps tools for automated release management.

- Responsibility for the delivery of fully automated, optimised and tested implementations within the Python environment for the production team to run.

- Work with model developer, data and production teams to support development, delivery and integration of models into IT infrastructure

- Support senior managers and directors across risk to understand and document the overall requirements for a production process.

- Lead innovation of technical solutions, exploring new technologies to service stakeholders evolving needs.

What we- re looking for?

- Bachelors Degree in Computer Science from a Top School, or a Masters Degree in another technical discipline (Physics, Engineering, Maths) with relevant experience

- Advanced Python Programming and knowledge of Python/R/C++ coding.

- Model implementation using DevOps tools like TeamCity, Jira, BitBucket and Nexus etc

- Project and stakeholder management.

- Experience in financial institution data, supporting model development, implementation and productionisation within credit wholesale, consumer, finance or treasury.

- Masters/PhD Degree in Computer Science, Math or Statistics

- Knowledge of credit card and/or banking retail business is strongly preferred

- Good exposure to statistical model development - familiarity with Consumer or Wholesale Credit risk modelling experience.

- Experience working within quantitative analytics team delivering models