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03/03 Subha Rajendran
Partner - Leadership Hiring at Saaki Argus & Averil Consulting

Views:243 Applications:63 Rec. Actions:Recruiter Actions:6

Leader - Data & Analytics - Loan/Lending Domain - NBFC (10-15 yrs)

Chennai Job Code: 898502

Our client is a leading Non Banking Financial Services company, looking to hire Domain Lead for the Data and Analytics function for Two Wheeler Finance portfolio.

The Domain Leader (2-Wheelers) is a part individual contributor and a part manager role. The incumbent will manage a small team of data scientists (2-3) delivering sales and credit analytics for wheeler portfolio. In addition, the incumbent is also expected to be independent/hands on several key initiatives. A big part of the role is to produce compelling and concise summaries of the analytical recommendations and engage a diverse set of stakeholders to get their buy-in.

Key Responsibilities :

- Develops questions and hypotheses and translates them in to technical language amenable for analyses

- Builds advanced statistical models and determines their optimal application in business policies and practices

- Summarizes deep analytical insights and recommends changes to current business processes to further the 2-wheeler portfolio

- Mentors a team of data scientists, provides timely and relevant feedback

- Engages a diverse set of stakeholders and builds consensus to ensure the application of analytical recommendations

- Wears the project manager hat in setting expectations and directing analytical tasks in a fast-paced environment

Desired Profile :

- MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field

- 10+ Years- experience in analytical domain, 4+ years analytical experience in Two-Wheeler, Auto Loan / Vehicle lending business.

- Excellent analytics, logical, problem solving and numerical skills

- Experience in using Python

- Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.)

- Keen aptitude for large-scale data analysis with a passion for identifying key insights from data

Women-friendly workplace:

Maternity and Paternity Benefits

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