Respo Financial Capital - Lead/Data Scientist - Analytics

About Company:

We exist to build a financial ecosystem to deliver customer delight. What does this mean? While India has been digitizing at a very high pace, customers still don't get access to seamless financial products. We offer credit facility to individuals and planning to extend to other products in the ecosystem. We are an organization that believes in a culture of ownership, passionately seeking excellence in execution & challenging the status quo every day. If that sounds like a culture you would like to be part of & you want to positively contribute towards the rapid evolution that is improving financial well-being & growth in credit inclusion for millions of Indians

Roles and Responsibilities :

We are looking for lead analytics professional with a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for the business.

Data scientist will be responsible for:

- Execution of analytical experiments methodically to help solve various problems and make a true impact across the lending domain.

- Data analysis and appropriate recommendations that clearly communicate complex analysis.

- Identify various factors and design key metrics and maintain various dashboards.

- Developing credit and fraud risk models by applying advanced AI/ML techniques.

- Design of experiments, testing hypotheses, and building actionable models to optimize KPIs.

- Working closely with internal stakeholders such as business teams, engineering teams, and partner teams.

Technical Skills and Experience:

- Demonstrated 3-5 years of hands-on experience in Analytics, with a particular focus on Fintech, preferably within credit lending domains.

- Proficient in utilizing Python or R for data analysis and manipulation, coupled with strong SQL skills for database querying and management.

- Skilled in building Machine Learning Models.

- Exposure to deep learning will be preferable.

- Experience in risk management of lending products for acquisition or across the lifecycle of consumer credit is preferable.

- Possess a technology-driven mindset, continually exploring digital advancements and staying abreast of technology literature and trends

- Capable of mentoring team members, fostering their growth and development within the field of analytics.

- Excellent communication and presentation skills