HR Recruiter at Black Turtle
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Associate - Data Science - Model Validation - BFS - IIM/IIT/NIT/ISI (2-4 yrs)
- Communicate with modeling teams to understand their models and intended use
- Help teams write documentation covering model methodology, data and performance
- Review and challenge models on conceptual soundness, assumptions and limitations, data, developmental evidence in support of modeling choices, performance, implementation and documentation
- Understand the core methodology in solutions and the context in which it will be deployed so as to find risks/gaps
- Communicate with Model Risk Management group to understand and address Bank's risk management needs
- Develop efficient methodologies to detect and to quantify risks/gaps in modeling solutions, especially AI/ML
- Monitor metrics for out-of-tolerance breaches
- Look for unexpected risks / unintended consequences of an AI solution over its life cycle
- May oversee work of junior team members in same area of focus
Requirements:
Education:
- Masters/Bachelors degree in a quantitative field such as Mathematics, Physics, Finance, Engineering or Statistics from one of the premier institutes like ISIs/IIMs/IITs/NITs etc.
- Candidates must have any of financial certifications like CFA, FRM (at least level 1/part 1 should have been cleared).
- Hands-on experience with Statistical Modeling/Machine Learning/Deep Learning techniques is must.
- Well-versed in programming languages like R/Python/SAS and be familiar with Deep Learning Frameworks like Tensorflow/Pytorch.
- Knowledge of financial instruments and financial risk/operational model risk management principles is must.
- Ability to understand and implement techniques discussed in AI research papers (academic and technical).
Desired Skills:
- Understanding of the financial industry including risk and regulatory environment desired.
- Able to communicate effectively and work well with the existing team.
- Work in high pressure environment and with attention to detail
- Team player
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