Job Purpose

Performing data-mining and statistical analysis, including predictive modeling, to develop database-marketing strategies that improve customer acquisition/ retention, enhance customer experience, and maximize customer lifetime contribution

Job Responsibilities(JR) : 6 – 8 Areas

Actionable (4-6)

- Managing 2 to 3 business lines

- Provide end to end analytical support for the given business lines with an objective of increasing marketing efficiencies / customer value

- Develop predictive models, behavioral segments and event triggers

- Build predictive models / behavioral segments / event triggers for x-sell / activation / retention / attrition control - models to meet minimum performance benchmark
- To be done for all product / business lines handled by the analyst
- Analyse portfolio for solving business problems / identifying recent opportunities
- Work with business / campaign stakeholders to understand objective / problem statement, generate hypothesis to solve the objective / problem and run statistical analysis to validate the same
- Regular interaction with business / product / campaigns teams

- Work jointly with campaigns and business team to identify business problem, discuss analytical approach and explain the solution which has been developed
- Ensuring all new analytical solutions are utilized

- Work jointly with campaigns and business team to ensure that minimum 60% of analytical solutions developed in the FY are utilized for campaigns / on ground activities.




- Seek feedback from campaigns and business which can be plugged back to the analytical solution
- Monitoring performance of predictive scorecards / solutions

- Monthly monitoring of performance of predictive scorecards / solutions and ensuring the performance is as per the internal benchmarks through regular enhancements of the solutions

Educational Qualifications(examples listed below)

Key Skills(examples listed below)

- Graduation / Post graduation in quantitative discipline: Engineering, Mathematics, Statistics, Economics, etc

- Strong logical, analytical & mathematical skills
- Banking Product & Process Knowledge
- Project Management Skills
- Good Communication skills

Experience Required(examples listed below)

- Minimum experience in years : 2 to 3yrs
- Prior experience in Predictive modeling includingMachine Learning algorithms
- Expertise in SAS, SQL and Python programming
- Experience in handling unstructured data / big data technology will be an advantage

Major Stakeholders(intra team and cross functional stakeholders, who would need to be interacted with for discharging duties)(examples listed below)

- Campaign management team
- Campaign operations Team
- Scoring team
- Campaign evaluation Team
- Marketing communications team
- Liability product, digital banking team, asset product, card product, TPP and NR product, HNW product
- Analytics vendors
- Fincon
- Risk Analytics and policy
- IT team including EDW management team

📌 Data Scientist - Marketing (Mumbai)
🏢 HDFC Bank
📍 Mumbai