First thing first, we are happy to share our success in hitting the $15M Series A Fundraise milestone, and we are all set to launch our rocket higher!!!
FinBox is a diverse team of problem solvers who believe that Digital Finance is the most effective way to drive financial inclusion. FinBox infrastructure is used by over 80+ companies to deliver credit to over 3 million customers every month. Come, do work that matters.
We are building infrastructure for the future of banking!!! Using our tools; any company can embed & build financial products & services within their app.
Banks provide financial products & services - accounts/investments/lending & insurance. The next biggest bank won't be a bank. Banking will come to the apps you use & love.
It's already happening!! Here are some examples:
- You buy your trip insurance (financial product) on GoIbibo (not a bank)
- Get your BuyNowPayLater line (a lending product) on Dunzo (not a bank)
You can find out more about us at FinBox [dot] in.
At FinBox you will be redesigning the banking rails for the world as we are committed to building the next-gen embedded finance infrastructure that helps enterprises launch FinTech offerings in hours.
Join our team in this B2B2C role to transform how companies deliver credit (personal loans, BNPL, etc.) through personalized and instantaneous experiences to customers. The engine behind this transformation is FinBox's low-code tool and an API platform that empowers companies to quickly release new world-class products to their customers in months instead of years.
## 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
Other things to know:
Collaborate, Take Ownership, Innovate and Improve are our core mantras.
Benefits and Perks
Insurance for self and family
Unlimited paid leaves
Gym memberships
Mental wellness benefits
Apple devices and other gadgets