Job description

From 2 to 6 year(s) of experience
₹ Not Disclosed by Recruiter

Job Description

    Roles and Responsibilities

    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)

    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 vale

    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 new 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 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

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

    Experience Required

    • Minimum experience in years : 2 to 3yrs
    • Prior experience in Predictive modeling including Machine 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)
    • 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

    Role:Data Scientist

    Salary: Not Disclosed by Recruiter


    Functional AreaData Science & Analytics

    Role CategoryData Science & Machine Learning

    Employment Type:Full Time, Permanent

    Key Skills
    Data scientistPredictive ModelingStatistical AnalysisCustomer ExperienceCustomer Acquisition


    UG:Any Graduate

    Company Profile

    RiverForest Connections Private Limited

    A Leading Private Sector Bank
    Company Info

    Contact Company:
    RiverForest Connections Private Limited


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