Manager - Decision Science

Brand:  HSBC
Area of Interest: 
Location: 

Bangalore, KA, IN, 560076

Work style:  Hybrid Worker
Date:  14 Dec 2025

Job Title: Manager - Decision Science

 

In this role, you will:

 

  • Model development related to Counterparty Credit Risk models such as XVAs PnL, Simulation & Pricing models, Collateral & Margining models.
  • Model calibration, monitoring, and annual assessment.
  • Support model users such as Traded Risk Managers, Front Office, and Product Control etc.
  • Perform activities pertaining to First Line of Defense based on the Model Risk Management Framework for XVA CCR models and assist the Risk steward functions in second line of defense activities.
  • Proven ability to take ownership of and solve complex data issues; Business problem solving skills is essential.
  • Strong stakeholder management skills and seamless delivery of analytics initiatives across markets.

 

To be successful you will:

 

  • Strong quantitative background, with a degree (Masters/PhD preferred) in Mathematics, Physics, Financial Engineering, Computer Engineering
  • Strong mathematical knowledge – Stochastic Calculus, Optimization methods, Linear Algebra, Differential Equations, Statistics, Probability
  • Strong programming skills in C++ or Python to develop the models or making proof of concepts.
  • 0-4 years’ experience in quantitative field like Counterparty Credit Risk(CCR) or Market Risk model development/model validation.
  • Understanding of derivative pricing, Counterparty Credit Risk(CCR) risk measures and XVA are good to have but not mandatory.
  • Professional Certification like CQF

 

Hsbc.Com/Careers

You’ll achieve more at HSBC 

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

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