ZipLoan - Principal Data Scientist

About Zip Loan :

ZipLoan is looking for a Principal Data Scientist to join us as we continue our amazing growth trajectory. ZipLoan is more than a lender for small businesses; our data and technology platform is now being used as a fully branded product by other lenders.

ZipLoan is on a mission to make hassle-free credit available to deserving small businesses. Through its proprietary machine learning risk assessment algo called ZipScore, lean operations and a unique colending model with leading banks and NBFCs, ZipLoan is able to provide working capital loans of up to INR 5 lakhs to small businesses at a fraction of a cost as compared to traditional lenders. ZipLoan is currently operational in Delhi NCR and Indore. ZipLoan has also developed its proprietary Loan Lifecycle Management product leading to of one of the lowest operating costs in the industry and turn- around time of only 4 days from application to disbursal.

ZipLoan has raised over $4 mn in equity from some of India's best VC Investors like Matrix Partners(Series A), WaterBridge Ventures(Pre-Series A), Growx Ventures(Seed round) and Sarbvir Singh(Angel Investment).

For more information visit: www.ziploan.in

Job Details:

- Drive the creation of new models and capabilities that will leapfrog traditional bureau based modeling done at most major financial institutions leveraging a wide array of data from both traditional and non-traditional sources.

- Engage in regular problem solving sessions with overall leadership team to present findings and refine their own analytics plan.

- Develop credit risk management, portfolio management and other business intelligence solutions through cross functional team engagements and research

- Manage large scale projects that include vendor scores and technological implementation assessments

- Leverage customer data and transactional unstructured data to build risk segmentation and mitigation strategies

- Complete complex analyses identifying authentication strategy and procedure gaps, manage implementation process across all credit life cycles to affect change

- Work with Technology team to drive availability of relevant data, tools and infrastructure

- Build and lead team of other Data Scientist and Data Analyst for credit and risk analytics

Qualifications and Skills :

- 10+ years of professional work experience in analytics and data science, Preferably from banking or lending industry in consumer or/and commercial portfolio

- Bachelors, Master's or PhD in statistics, mathematics, economics or related quantitative area of study from a premier institute (IIT, IISc etc or equivalent)

- Leading large scale projects from start to finish and deriving insights not just analysis for what the company should do

- Leading, mentoring, and managing teams

- Well versed in statistical methodology including parametric test, hypothesis testing and regression.

- Familiarity with the dashboarding and data visualization tools and technologies.

- Hands-on work experience with at least one of the languages among Python or R

- Competency on developing machine learning models using Python, R or other open source tools

- Familiarity with big data and related technologies.

- Predictive modelling experience - risk, marketing, fraud models and scorecards development.

- Knowledge of India's retail commercial lending and credit risk management practices

What we are looking for in you :

- The successful candidate will have a demonstrable analytic, problem solving, and leadership skills

- A perfectionist who tempers it with deadlines

- Experience and desire for working in a fast-paced, ever-changing environment

- Must have excellent communication and influencing skills, and be able to work across multiple groups with ease

- A positive - can do- attitude

- A constant drive to improve the experience of our users and our internal processes: "How can

I make things better :

- Ability to remain focused and work in an open work place with frequent distractions

Why ZipLoan :

- Our people! We are very proud of our people, our products, and our fun, friendly, and passionate culture.

- Equity - you will be an owner!

- Casual work environment - just cover all of the requisite parts!