Principal Data Scientist

**8+ Years** | **1 Opening** | **Chennai / Bangalore.**:
**Who we are?**

Kaleidofin is a neobank for the informal sector, which provides solutions tailored to the customer’s goals and are intuitive to use. We are working towards creating fair and transparent financial solutions that can target millions of customers and enterprises in India that don’t have easy access to formal financial advice.

In a very short time span, global investors such as Oiko Credit, Flourish, Omidyar Network and Blume Ventures have supported Kaleidofin’s well-thought-out business model with $8 million in seed and Series A funding and now Series B where along with existing investors, new marquee impact investors like Michael Susan Dell Foundation have participated

The company won the Amazon AI Conclave award for Fintech, was one of only ten startups chosen for the Google LaunchPad Accelerator program in 2019, was recognized as India’s Most Innovative Wealth, Asset and Investment Management Service/Product by the Internet & Mobile Association of India (IAMAI) and was selected to present at United Nations General Assembly Special Task Force Event. ‘Kaleidofin Private Limited’ has been selected under the following Category ‘Best Use of Emerging Technology for business growth [Fintech/Neo Bank]’ as Winner for the Initiative ‘Ki-score’, and NASSCOM Emerge 50 2021 award

With its focus to harness mobile technology to deliver a paperless experience as well as its focus to harness technology and analytics to predict the right product for the right customer, Kaleidofin aims to become a leading Neobank for the informal sector using the power of technology and all financial instruments - Savings, Investment, Credit and Insurance

**What you’ll Do**:
You will manage the credit team on credit scoring using ML, risk management strategies, portfolio analytics, debt collection and fraud detection.
- Lead and mentor a team of data scientists/analysts
- Create competitive advantage for business through analytics and machine learning
- Provide analytical insights by analyzing various types of data, including mining our customer data, review of relevant cases/samples, and incorporation of feedback from others.
- Work closely with business partners and stakeholders to determine how to design analysis, testing, and measurement approaches that will significantly improve our ability to understand and address emerging business issues.
- Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modelling.
- Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
- Providing updates to leadership, peers and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business.

**Who You Need To Be**:

- 8+ years in advanced analytics, statistical modelling, and machine learning with 4+ years in credit
- Best practice knowledge in credit risk - strong understanding of the full lifecycle from origination to debt collection.
- Well versed with ML algos, BIG data concepts and cloud implementations
- Experience of implementing real-time decision analytics solutions
- Proven track record of developing robust and insightful communications suitable for senior management, our regulators and the Board
- Excellent communication skills. Delves into a complex problem and solves it by using large amounts of data. But can simplify as appropriate to cut to the core issue and present findings
- Great leadership skills. Very proactive. Interacts with other business leaders to both learn as well as influence. Partnership approach and collaborative attitude
- Analytical thinker and well-versed in dealing with numbers and large quantities of data
- CFA/FRM is a plus.
- Masters in Statistics from Premier Institutes; ISI Kolkata