Job Description for Data Science (relevant experience: 3-5 years) - The finance industry has ignored billions of deserving individuals. We are a mission-driven team of finance, analytics, and technology professionals focused on driving financial inclusion to serve the underserved across their credit, savings and financial needs. - This role will lead a team of data scientists (3 members) which is responsible for the development, monitoring and driving continuous enhancements to create best in Class models/algorithms to assess response, risk, and fraud across the customer life cycle What we look for: - Passion for analytics: Should be able to build cutting edge credit/fraud models using advanced algorithms in a Big data/Machine Learning environment. Should have hands-on experience and track record of delivering projects in an individual capacity. - Process oriented: Should help in building a process that maximizes operating efficiency while maintaining risk across multiple lending cycles. There needs to be an obsession with collecting and analyzing data to drive business iterations and improvements. - Team Leadership: Should have a track record of leading people effectively functionally driving deliverables as well as nurturing, motivating and developing the team to drive employee engagement. - Willingness to go above and beyond: For start-ups the responsibilities and needs of the business change quickly. We're looking for someone who is not afraid to take on calculated risks and can deal with ambiguity. Job Responsibilities: - Leading of team of 3 - 4 data scientists - Managing multiple analytics tracks : a) Development - Data collection from multiple partners (Telco, CRB, FI, Govt. database) - Creation of credit scoring model leveraging big data platform b) Model Deployment - Deploying models in cloud and on-premise set up leveraging - Setting up a process for periodic scoring c) Model monitoring - Develop and deploy CSI/PSI process - Periodic model refresh/recalibration process d) Adhoc analytics for portfolio performance, strategy impact analysis etc - Partner Engagement e) Managing to engage with partner data / BI team for collecting and understanding data f) Review meeting with partner credit/collection/fraud team - Collaborate with internal credit policy/portfolio mgmt. team to drive P&amp;L outcomes - MIS Process Management g) Building reports for model monitoring and drive enhancements - Arranging training sessions to up-skill the team in analytics problem solving and machine learning algorithms Required Qualifications &amp; Skills: - Strong concepts in statistical model building - Previous experience (more than 2 years) in managing data science team in Bank/ Fin-tech companies - Hands on experience in building credit risk models (PD/LGD) using R, Python or SAS - Previous experience in working with SQL, Sybase or Teradata DB - Previous experience in managing analytics delivery in companies like Amex, EXL, Fractal etc. - Strong entrepreneurial drive Good to have: - Previous hands-on in risk (credit or fraud) strategy development and deployment - Experience in model deployments - Experience in working with credit card firm - Hands on experience in working with Telecom data

Gurgaon/Gurugram

Mahindra Comviva - Data Scientist 

Mahindra Comviva - Data Scientist  ,Job Description for Mahindra Comviva - Data Scientist  in Comviva Technologies in  Gurgaon/Gurugram for (3-5) years of experience. Apply Now!

Job Description for Mahindra Comviva - Data Scientist  in Comviva Technologies in  Gurgaon/Gurugram for (3-5) years of experience. Apply Now!