Manager - Analytics - BFS

Position: Manager - Analytics

Experience: 4-5 years

Education: M.Sc in Statistics or B.Tech /MCA in Computer Science

Industry: Financial Industry (Retail Asset Products)

Location: Lower Parel , Mumbai

Role Summary:

The Manager - Analytics will be responsible for leading data analytics initiatives within the organization, with a primary focus on retail asset products in the financial industry. The ideal candidate will have a strong background in statistics or computer science and experience in building scorecards, predictive credit models, and analysing delinquencies. This role will involve closely working with the Business team to understand trends and build various models and scenarios.

Key Responsibilities:

1. Develop and implement statistical models and analytical tools to support business objectives, with a focus on retail asset products.

2. Analyse and interpret data to identify trends, patterns, and insights to drive business decision-making.

3. Build and maintain scorecards, predictive credit models, and other analytical tools to assess risk and predict customer behavior.

4. Collaborate with cross-functional teams, including Business, Risk, and IT, to gather data requirements and ensure effective implementation of analytics solutions.

5. Conduct data mining and statistical analysis to optimize product performance, identify opportunities for growth, and mitigate risks.

6. Provide insights and recommendations based on data analysis to support business strategy and drive continuous improvement.

7. Monitor and analyse delinquency trends, develop strategies to mitigate risks, and improve portfolio performance.

8. Stay updated on industry trends, best practices, and new technologies in analytics and apply them to enhance business processes and outcomes.

Requirements:

1. Bachelor's or master's degree in Statistics, Computer Science, or a related field.

2. 4-5 years of experience in data analytics, preferably in the financial industry with a focus on retail asset products.

3. Strong analytical skills with expertise in statistical modelling, data mining, and predictive analytics.

4. Proficiency in statistical software such as R, Python, or SAS.

5. Experience in building scorecards, predictive credit models, and analysing delinquencies will be an added advantage.

6. Excellent communication and presentation skills, with the ability to translate complex data into actionable insights.

7. Ability to work independently and collaboratively in a fast-paced environment, with a strong focus on delivering results.

8. Location: CO, Mumbai.

Reporting: This role will report to the Business team and work closely with them on building different models/scenarios to understand the trends.