FinBox

Senior Data Scientist

Gurugram, HR, IN

2 months ago
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Summary

FinBox: Where Fintech Meets Fun!

Welcome to FinBox, the buzzing hive of tech innovation and creativity!

Since our inception in 2017, FinBox has built some of the most advanced technologies in the financial services space that help lenders like Banks, NBFCs and large enterprises build and launch credit products within a matter of days, not months or years. FinBox is a Series A funded company which is expanding globally with offices in India, Vietnam, Indonesia and Philippines.

Our vision is to build the best-in-class infrastructure for lending products and help Banks & Financial Services companies across the world scale and launch credit programs that set a new standard in the era of digital finance. So far, we’ve helped our customers disburse Billions of Dollars in credit across unsecured and secured credit including personal loans, working capital loans, business loans, mortgage and education loans. FinBox solutions are already being used by over 100+ companies to deliver credit to over 5 million customers every month.

Why Should You Be a FinBoxer

  • Innovative Environment: At FinBox, we foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what's possible in fintech.
  • Impactful Work: Your contributions will directly impact the lives of millions, helping to provide fair and accessible credit to individuals and businesses alike.
  • Growth Opportunities: We are a Series A funded startup and have ample opportunities for growth, professional development and career advancement.
  • Collaborative Culture: Join a diverse and inclusive team of experts who are passionate about making a difference and supporting one another.

Who’s a Great FinBoxer:

At FinBox, we’re on the lookout for exceptional folks who are all about innovation and impact. If you’re excited to shake things up in the banking & financial services world, keep reading!

Creative Thinkers: If your brain is always bubbling with out-of-the-box ideas and wild solutions, you’re our kind of person. We love disruptors who challenge the norm and bring fresh perspectives to the table.

Customer Heroes: Our customers are our champions, and we need heroes who can understand their needs, deliver magical experiences, and go above and beyond to keep them happy.

Team Players: We believe in the power of “we.” If you thrive in a collaborative environment, value different viewpoints, and enjoy being part of a spirited, supportive team, you’ll fit right in.

How You'll Contribute To Our Data Science Team

  • Analyzing big data and producing meaningful insights with demonstrable results
  • Applying rigorous experimentation and iterative analytics to steer the improvements of our products, while implementing data science
  • Creating algorithms to extract information from a large data set to perform statistical analysis and analyze the same to create predictive models
  • Creating dashboards/visualizations for monitoring
  • Distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.
  • Document end to end process in a presentable format
  • Data gathering/pre-processing- Collect and process relevant data for Insight generation and model building
  • Distill complex results or processes into simple, clear visualizations
  • Data interpretation - generate insights and explain in an understandable manner
  • Reporting - Automation of reports using visualization tools
  • Deploy data science and technology-based algorithmic solutions to address the business needs of our customers
  • Apply appropriate techniques, such as exploratory data analysis, regression analysis, bootstrapping, decision trees, cluster analysis, choice modeling, survival analysis, etc.

Who You Are:

  • Strong analytical skills
  • Data visualization and presentation
  • Proficiency in Python/R, SQL, Excel
  • Knowledge of AWS and Git
  • Knowledge on statistical concepts and machine learning models
  • Knowledge of Data science tools, algorithms

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