Assistant Manager/Manager/Senior Manager - Model Governance - Banking Captive

Job Description:

This role supports the Consumer Client Protection organization, and you will partner with vendors, independent model risk management, technology, and business strategy teams to document, deploy, and assess performance of fraud models used to reduce losses and minimize customer disruption.

Responsibilities

The role will be responsible for several key areas:

- Work with vendors and internal modeling partners to develop approval documentation for new fraud scores and algorithms. This will include a comprehensive write-up on how the models are built, testing and validation work done, methodology, sampling, performance, etc.

- Conduct periodic model validations on scores, looking for key metrics such as precision, recall, rank ordering of score performance, detection of PSI and other metrics as needed to ensure models are performing well and not deteriorating, which could lead to unexpected fraud losses

- Partner with our Strategies teams to communicate model performance and trends, including providing key insights into areas where scores are deteriorating or underperforming, so appropriate adjustments can be made to prevent unexpected losses

- Work with our partners in Model Risk Management (MRM) to close out any follow-up items on partially/conditionally approved models

- Form strategic partnerships with MRM to develop best practices for fraud model governance that satisfy both the need for quick deployments to mitigate risks, but also our internal and regulatory concerns

- Develop dashboards and MIS to show model performance, trending, and potential issues

- Support automation initiatives within the team and try to automate repetitive tasks

Requirements

Education-

- Advanced degree, preferably in Statistics/Mathematics, Computer Science, Engineering or other quantitative discipline from a premier institute

- Certifications If Any

- Technical certifications in SAS, SQL preferred

Exp Range:- 3 to 11 years of relevant experience in analytics, with around 2+ year of direct experience in model risk management. Experience with model development and fraud analytics are preferred

Foundational skills-

- Experience in SAS or SQL is required. Knowledge of Python/PySpark is strongly preferred. Should also have experience with other data extraction tools like Hive, HUE, or Pig.

- Proficiency with visualization software such as Tableau and presentation software such as PowerPoint

- Excellent communication and organizational skills

- Ability to think outside the box and excellent drive/desire to dig in, learn and make a difference

Desired skills

- Bachelor's degree preferably in a quantitative discipline such as mathematics, statistics, engineering, computer science, finance, or business. Post graduate degree is a plus.

- U.S financial services experience preferable

- Understanding of business domains like Fraud/Compliance/Risk preferable

Shift Timings: 11 30 AM to 8 30 pm