Senior Data Scientist

About Vivriti Group Vivriti Group is a trailblazer in the mid-market lending space, offering customized debt solutions to mid-sized enterprises. The group operates through two core businesses :

Vivriti Capital Limited : A systematically important Non-Banking Financial Company (NBFC ND-SI) regulated by the Reserve Bank of India (RBI). Vivriti Capital has disbursed over USD 3 billion to 300+ enterprise borrowers and holds a CRISIL rating of A+.

Vivriti Asset Management : A fixed-income fund manager, managing multiple Alternative Investment Funds (AIFs). With over USD 550 million in commitments from 900+ institutional and private contributors, Vivriti AMC has invested more than USD 600 million across 90+ entities.

The opportunity…

Are you ready to join us on our exciting journey of being a fast-growth company, but one that is maturing and needs your support in creating the right solutions that are not too cumbersome yet deliver high value?

• Are you excited about Data Assets and the value they brings to an organization?
• Are you an evangelist for data driven decision making?
• Do you want to be the go-to resource for data analytics in the company?

The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.

The purpose of this role is to bring in the culture of data aggregation and analysis, develop consistent and reliable solutions that can be further leveraged upon to scale for various business objectives.

Key Responsibilities

Be responsible for scaling our analytics capabilities across all disciplines and guide our strategic direction towards analytics.

Organize and analyse large, diverse data sets across multiple functions, translating business needs to technical requirements and implementation.

Identify key insights and leverage them to inform and influence product strategy.

Develop proof of concepts to prove or disproves validity of concepts.

Develop Statistical / ML models for various use cases, customer analytics, segmentation etc. using Logistic Regression, Decision Tree, Random Forest, Clustering algorithms etc.

Ensure model performance, validation, scalability criteria are reviewed regularly with timely updates for proactive adoption to changes in business strategies or portfolio performance.

Partner with the Data engineering team to define the required data pipelines to buildand enhance the repository (foundational capability) to build / deploy the various AL / MLalgorithms both for batch and real time use cases.

Utilize effective project planning techniques to break down complex projects into tasksand ensure deadlines are kept.

Support critical business decisions through adhoc analysis to uncover new insights indata.

What you will bring

Data driven mindset with degree in a quantitative discipline such as Computer Science, Statistics, Engineering, Mathematics or Economics.

Min 6-10 years' experience in a quantitative, Data Science or other advanced data & predictive analytics role.

Experience working in AI / ML algorithms, working with large datasets and big data tools.

Experience in building institutional / B2B financial models in the capital markets, risk management, or credit risk.

Strong experience in python, SQL and in-depth understanding of modelling techniques.

Exposure to big data tools like Spark, and some core tech knowledge around API’s, data streaming etc. (Nice to have)

Experience in Fintech / Banking / Credit / Payment industry is a plus.

Highly motivated, result-oriented self-starter who enjoys working in a fast-paced environment.

High degree of responsibility and ownership, strong multitasking, coordination and tenaciously looking for ways to get results.

Experience with cloud-based services viz AWS, GCP, Azure will be a plus

Experience in B2B market