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Assistant / Deputy Manager - Data Science at Vreedhi Financial Services

Company Description



VFS is a Fin-Tech entity started with the objective of providing customized financial products and services to micro enterprises. VFS will focus on micro enterprises that have low annual turnover; may not offer collateral; and have limited credit history.



Job Description



Objective: The primary responsibility of the data scientist is to generate data insights for improving credit underwriting and other business process and support implement the same. Contribute to the specific needs of location identification, business development and Product design.



Major Deliverables



o Ensuring Data Quality: Processing, cleansing, and verifying the integrity of data used for analysis through



o Involvement in Designing Digital Data Collection Strategy



o Testing IT platforms



o Reporting Missing and Incorrect Data



o Outlier Analysis etc.



o Should involve and suggest procedures for the collection, editing, verification of data.



o Conduct data-driven analysis.



o Understand Business Reporting needs from key stakeholders in the organization and play a direct role in designing and developing reporting tools.



o Contribute to product development.



o Engage with stakeholders to understand and probe business processes in order to develop hypotheses



o Explore data for insights, use statistical analysis and machine learning algorithms to identify relationships and trends in data and support business decision making



o Develop propensity models for customer acquisition and retention, fraud detection solutions, credit risk models for acquisition and account management, cross-sell applications etc.



o Data Visualisation & Communication: Not only interpret data but also effectively communicate findings to other stakeholders using relevant tools (e.g. Visualisation tools like Tableau / Qlikview etc.) so they can make data-informed decisions.



o Cross-functional Engagement: Collaborate with both IT and business stakeholders to ascertain business needs and identify opportunities for leveraging company data to drive business solutions.



Qualifications



Qualification: MBA with additional educational background in Mathematics/Statistics/Data Analytics. Academics in Big Data Analytics or equivalent programmes will be an added advantage.



Desired Experience(years): 2 - 4 years (Minimum 2 years into Data Science)



Shortlisting Criteria:

o Good understanding of Statistical Concepts



o Experience in BFSI industry / domain



o Well versed with the business porcesses



o Database Knowledge and experience in RDBMS concepts preferably SQL/MySQL



o Strong knowledge on Data models, Data Sets and ability in utilizing data from varied sources for Analysis



o Strong Expertise in Statistical techniques: Regression, linear, Forests etc., hypotheses generation and testing, predictive and prescriptive analysis



o Knowledge in Programming languages preferably Python or R



o Ability to learn and use automated ML tools..eg Tensor flow and Lamda



Additional Information



Best Flexible work culture.

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by Tsutomu Narushima