Manager - Credit Risk Strategy - Financial Institution - IIM/XLRI/IIT/FMS/MDI

Manager - Credit Risk Strategy - IIM/XLRI/IIT/T1 Institute 

The Innovations Analyst position will identify opportunities for, design and implement custom fraud prevention and detection solutions. In addition, the analyst will collaborate with credit risk teams to advise on effectively leveraging intelligence from our in-house data capabilities. This position will require a strong analytical orientation and an understanding of fraud and credit risk with some familiarity with operational processes, which will be critical to success.

Candidate will be responsible for:

- Developing analytical solutions to introduce and enable efficiencies within existing processes, fraud prevention strategies and Credit Risk Strategy.

- Using analytical data to create a story-board that Senior Management will use to approve new strategies, process changes or vendor solutions to minimize Fraud exposure.

- Track and report emerging trends and opportunities to Senior Management.

- Lead development and implementation of effective Fraud detection and prevention strategies to mitigate fraud losses while ensuring an appropriate balance between risk and customer experience.

- Support ad-hoc risk policy analysis and projects as required.

- Apply subject matter expertise to the prioritization and planning of projects in conjunction with fraud management policies and strategies.

The position requires substantial interaction with Policy, Operations, and other functional business partners to optimize business strategies.

Leadership Competencies : 

- Strong Business and Data analytical skills with proven track record of complex processes and data analysis/deliverable

- Ability to understand story behind data and summarize results adjusted to audience

- Ability to independently challenge status-quo, identify opportunities, investigate issues and propose recommendations

- Ability to work under tight deadlines

- Excellent communication skills required for successful collaborations across different verticals

- Ability to work effectively in a cross-functional organization

Technical Requirements : 

- 1 to 5+ years of experience with Fraud and or credit risk analytics in financial institutions

- Extensive experience in SAS/SQL required and familiarity with big data preferred.

- Microsoft Office (Word, Excel, PowerPoint) knowledge required

Education Level - Degree in a quantitative background or equivalent experience