Risk Decision Model Development- Assistant Vice President
This role at Citi involves developing account management risk models using both traditional and machine learning techniques within the fintech domain. The selected candidate will manage the full model development lifecycle, including design, training, validation, and implementation. Candidates require strong statistical modeling expertise, experience with SAS/Python/R/Spark, and a solid background in risk management. The position involves collaboration with technology and policy teams to ensure model compliance and effective business decisioning.
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Experience
7+ years
Function
Research
Work mode
Onsite, India
Company
Tier 1
What you will work on
This role at Citi involves developing account management risk models using both traditional and machine learning techniques within the fintech domain. The selected candidate will manage the full model development lifecycle, including design, training, validation, and implementation. Candidates require strong statistical modeling expertise, experience with SAS/Python/R/Spark, and a solid background in risk management. The position involves collaboration with technology and policy teams to ensure model compliance and effective business decisioning.
TAL's take
Senior role at a Tier 1 global bank in a highly specialized risk modeling domain with clear scope.
Very clear JD defining the stack, the specific nature of risk models, and the requirements for the role.
Must haves
- 7+ years of experience in risk modeling
- Sound knowledge of statistical modeling concepts
- Experience with econometric and statistical modeling
- Proficiency in SAS, SQL, R, Python, or Spark
- Bachelor's degree in statistics, mathematics, or economics
Tools and skills
Nice to have: h2o.
About the company
Citi is a major global financial institution with a massive footprint and well-known, established engineering and data teams.