Assistant Manager/ Deputy Manager/ Manager/ Senior Manager – Risk Analytics | Location: Bangalore

Company: A leading microfinance institution.

Job Summary:

The person is responsible for carrying out risk analytics to support risk mitigation and proactive decision making from risk perspective and ensure timely preparation and dissemination of risk reports, presentations, and analysis.

This role requires a strong analytical mindset, proficiency in data analysis tools, and the ability to communicate complex information clearly to stakeholders across the organization.

Key Accountability:

1. Risk Identification and Assessment: Utilize statistical and analytical tools to identify and assess risks to the business. This includes analyzing large datasets to uncover hidden patterns, correlations, and trends.
2. Portfolio Analysis: Conduct portfolio-level analysis to assess overall credit exposure and risk distribution. Recommend strategies to optimize the risk-return profile of the loan portfolio.
3. Policy Development: Develop and define credit policy rules based on risk analysis findings, and provide these rules to the implementation team for integration into the Business Rule Engine.
4. Reporting and Communication: Prepare risk reports and presentations for senior management, highlighting key risk exposures, trends, and mitigation strategies. Communicate complex analytical findings and recommendations in a clear and concise manner.
5. Risk Mitigation: Collaborate with different departments to design and implement risk mitigation strategies. Monitor the effectiveness of these strategies and make adjustments as needed.

Requirements:

1. Bachelor’s degree in Engineering, Finance, Statistics, Mathematics, Economics, or related field.
2. Proficiency in statistical and data analysis tools (R/Python and Excel).
3. Proven ability to analyze large datasets.
4. 0 to 6 years of professional experience, preferably in roles related to data analysis or risk management within the financial services industry.
5. Possess a flair for numbers.
6. Strong analytical and problem-solving skills with the ability to analyze large datasets.
7. Good & clear communication skills in English.