Quantitative Developer

3 days ago


Bangalore South, India GR People Prime Consulting Pvt Ltd Full time

Company Description

GR People Prime Consulting Pvt Ltd specializes in the hiring process, ensuring clients secure highly qualified candidates for their positions. We leverage user-friendly, web-enabled software to automate recruitment, assessment, referral, and notification processes. Our company expertly generates and posts job openings across various portals, meeting all regulatory requirements and specializing in niche roles. We excel in understanding business needs, fostering collaboration, and ensuring efficient requirement fulfillment. Our extensive IT hiring services cover staff augmentation and project sales, boasting a proven success rate in domestic staffing and consulting.

Role Description

This is a full-time on-site role for a Quantitative Developer located in Bengaluru South. The Quantitative Developer will be responsible for developing quantitative models, conducting data analysis, implementing algorithms, and optimizing strategies. Daily tasks include collaborating with the team to design and develop financial models, back-testing models against historical data, and ensuring models are aligned with business requirements. Additionally, the role involves enhancing existing models, deploying new models to production, and providing ongoing support for model-related queries.

  • Skills / Technology:
  • 7-10 years working as a Quantitative Analyst developing models in quantitative finance, IT development, or a trading environment
  • A degree in mathematical finance, science or maths from a top tier university
  • Knowledge of the standard pricing models used in the investment banking industry
  • Five or more years C++ experience (preferably using Visual Studio 2017)
  • Three or more years Python experience required
  • Previously developed coding standards and extensive experience in CI/CD pipelines
  • Experience of developing multi-component architectures
  • Knowledge of distributed computing and serialisation techniques

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