Data Science Manager -Risk

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2 months ago B.Tech/ B.E

Job Description:


Duties and responsibilities

  • Lead a team of data scientists in designing, developing, and implementing analytical solutions
  • Perform data analytics and keen to learn/explore new techniques,
  • Perform exploratory analysis using structured/unstructured data,
  • Oversee and build statistical models/scorecards within specified timelines,
  • Coordinate with various internal teams Credit, Product, Business, etc,  
  • Bring fresh ideas to the table and keen observers of trends in analytics and the financial services industry,  
  • Work on a variety of projects of different natures Credit Risk, Business, Product, Data Management, etc,  

Requirements and Skill Sets:-

  • Strong domain knowledge of retail lending business - Underwriting, Product & Pricing, Campaigns, Risk Management & Collections
  • Worked across any of the below domain
    • Credit Risk Scorecards
    • Collection Scorecards
    • Risk Policy defining and simulation
    • Statistical Models across customer Life - cycle
    • Customer Lifetime Value
    • Risk-based Pricing Analytics

  • Technical Skills:
    • Successfully develop and deploy advanced analytics solutions including statistical modeling, machine learning techniques such as logistic regression, Random Forest, XGBoost, Decision Tree, Clustering techniques, PCA, Collaborative Filtering, Neural Networks, Time-series, etc
    • Strong programming skills (at least one of R/Python), SQL, Excel & MS office skills, etc

Qualification and Experience

  • MBA/BE/ Masters in Statistics/ Mathematics, with work experience of 5+ years in Analytics, Model building & Data Management. Worked with analytics consulting into financial services, Indian Bank s/NBFCs in-house analytics units, or Fintech/analytics start-ups is a must.
  • 2+ years of team handling/leading experience

        Lead a team of data scientists in designing, developing, and implementing of analytical solutions

        Perform data analytics and keen to learn/explore new techniques,

        Perform exploratory analysis using structured/unstructured data,

        Oversee and build statistical models/scorecards within specified timelines,

        Coordinate with various internal teams Credit, Product, Business, etc,  

        Bring fresh ideas to the table and keen observers of trends in analytics and the financial services industry,  

        Work on a variety of projects of different natures Credit Risk, Business, Product, Data Management, etc,  

        Requirements and Skill Sets

        Strong domain knowledge of retail lending business - Underwriting, Product & Pricing, Campaigns, Risk Management & Collections

        Worked across any of the below domain

o   Credit Risk Scorecards

o   Collection Scorecards

o   Risk Policy defining and simulation

o   Statistical Models across customer Life - cycle

o   Customer Lifetime Value

o   Risk-based Pricing Analytics

        Technical Skills:

o   Successfully develop and deploy advanced analytics solutions including statistical modeling, machine learning techniques such as logistic regression, Random Forest,  XGBoost, Decision Tree, Clustering techniques, PCA, Collaborative Filtering, Neural Networks, Time-series, etc

o   Strong programming skills (at least one of R/Python), SQL, Excel & MS office skills, etc

        Qualification and Experience

        MBA/BE/ Masters in Statistics/ Mathematics, with work experience of 5+ years in Analytics, Model building & Data Management. Worked with analytics consulting into financial services, Indian Bank s/NBFCs in-house analytics units, or Fintech/analytics start-ups is a must.

        2+ years of team handling/leading experience

Data Science and Analytics

Mumbai, India, Asia

Full time

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