Senior Data Scientist

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 B 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, weve 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 whats 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 B 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.
  

Whos a Great FinBoxer:
At FinBox, were on the lookout for exceptional folks who are all about innovation and impact. If youre 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, youre 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, youll fit right in.
How Youll Contribute

• Data Analytics & Insights: Analyze large datasets to generate meaningful insights and measure business impact.
• Model Development & Experimentation: Design and deploy predictive models, leveraging statistical and machine learning techniques to drive business growth.
• Algorithm Development: Create and optimize algorithms to extract and process data, improving decision-making processes.
• Experimentation & A/B Testing: Conduct rigorous experimentation to refine products and optimize business strategies.
• Visualization & Reporting: Build dashboards and automated reports using visualization tools to communicate insights effectively.
• End-to-End Data Processing: Gather, clean, and pre-process data for insight generation and model building.

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired
• Stakeholder Collaboration: Work closely with product, engineering, and business teams to translate informal requirements into problem statements and solutions.
• Model Deployment: Deploy ML models and ensure they are optimized for production and business applications.
  

Who You Are:

• 4+ years of experience in data science, with a strong background in the finance or fintech sector.
• Expertise in Python/R, SQL, and Excel for data analysis, modeling, and automation.
• Proficiency in AWS & Git for cloud-based deployment and version control.
• Strong knowledge of statistical methods and machine learning techniques, including regression, clustering, decision trees, bootstrapping, and survival analysis.
• Hands-on experience with data visualization tools such as Tableau, Power BI, or open-source libraries.
• Strong problem-solving and communication skills to simplify complex models and insights for business stakeholders.
• Experience in deploying data science solutions at scale, with a focus on automation and real-time analytics.