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Quantitative Analytics Data Developer – Vice President

A leading global financial services company providing banking, investment banking, and other financial services.
Data
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
Finance

Description For Quantitative Analytics Data Developer – Vice President

Barclays is seeking a Quantitative Analytics Data Developer at the Vice President level to join their Risk function. This role combines data engineering and quantitative analytics to support the development and management of credit risk models within the WCR & CIB division. The position requires expertise in handling large-scale financial data, implementing mathematical and statistical models, and developing analytics solutions for business decision-making.

The role offers an opportunity to work at the intersection of data engineering and quantitative finance, requiring both technical programming skills (Python, SQL, R) and deep understanding of credit risk models. You'll be responsible for designing and implementing analytics solutions, collaborating with technology teams, and ensuring all developments meet regulatory requirements and risk management standards.

As a Vice President, you'll have significant influence on strategic decisions and may lead a team of specialists. The position demands excellent stakeholder management skills, as you'll be working with business users, validation teams, and technology partners. The role is based in Mumbai at Barclays' Nirlon Knowledge Park facility.

This position is ideal for candidates with a strong quantitative background (Mathematics, Engineering, Physical Sciences) who have experience in financial services data analytics and model development. The role offers exposure to cutting-edge financial technology and risk management practices at a leading global bank, with opportunities to influence strategic decisions and drive innovation in quantitative analytics.

Last updated 2 days ago

Responsibilities For Quantitative Analytics Data Developer – Vice President

  • Design analytics and modelling solutions to complex business problems using domain expertise
  • Collaborate with technology teams to specify dependencies for analytical solutions
  • Develop high performing, documented analytics and modelling solutions
  • Implement analytics and models in accurate, stable, well-tested software
  • Provide ongoing support for analytics and modelling solutions
  • Ensure conformance to Barclays Enterprise Risk Management Policies
  • Support development and management of models
  • Provide data support for development of new credit risk models
  • Maintain dialogue with modelers and validation teams

Requirements For Quantitative Analytics Data Developer – Vice President

Python
  • Work experience in an analytical/reporting function
  • Experience in data analytics and data development (ETL)
  • Understanding of Credit Risk models
  • Experience with large volumes of data in financial services domain
  • Degree in Physical Sciences, Engineering, Operation Research, Mathematics
  • SQL and numerical programming ability using Python and/or R
  • Stakeholder management experience
  • Experience working with large volume data sets with multiple sources

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