Lead Data Scientist - FinTech

About KredX :

At KredX, we are trying to solve the problem of access to much-needed working capital finance for Small & Medium sized Enterprises (SME) in India. Our solution for this involves building a platform for supply-chain financing, where investors can interact directly with borrowers, powered by state-of-the-art technology at its core. We are very much at the cutting edge of financial technology here in India! These are very early days but we are already seeing phenomenal traction and have been able to help a large set of businesses.

Background :

- Indian financial market has been chronically bugged by two problems. On one side, MSMEs are struggling to keep their cash flow intact & need working capital to continue production while, on the other side, investors are looking for opportunities to invest in instruments that can provide them better returns in short term with relatively lower risk. Keeping the above problems in mind, KredX enables MSMEs to raise funds against their unpaid invoices or post-dated instruments from financiers. For SMEs, it's a platform where they can raise finance against their enormously valuable but ridiculously undervalued, unpaid invoices from their corporate customers and ride over the cash flow crisis created by dearth of working capital finance.

Who we are : Collectively, we are a group of lifelong learners from IIT Kanpur and Stanford, having spent the last decade working at the cutting edge of Finance and Technology at Citi, HSBC, ICICI and Microsoft, Oracle. Founded by IIT Kanpur alums, Manish Kumar and Anurag Jain, who spent more than a decade in various roles in Financial Institutions, particularly in credit risk and modelling.

Why Explore a Career at KredX : At KredX, we are a small, focused team going after an incredibly large problem and challenge. You'd have a ringside view into all the challenges around solving something meaningful for India and building a business around it, from scratch. Think of this as a crash course in entrepreneurship while pushing the boundaries of all the technology you love!

About You:

- You are a passionate Data Scientist who wants to drive business results with your data-based insights. You have a strong data science background and understands the use of a variety of data mining and data analysis methods to build and implement models, algorithms, and simulations.

- From day one, you must be able to hit the ground running and bring all your experience to the team to ensure our business stays ahead of the industry. Most importantly, you have a positive - can do- attitude and a passion for delivering technical solutions in a fast-paced startup environment.

Your Impact:

Key Responsibilities:

- Use analytical rigor and statistical methods, programming, data modeling, simulation, and advanced mathematics to analyze large amounts of data, recognizing patterns, identifying opportunities, posing business questions, and making valuable discoveries.

- Identify/develop appropriate machine learning/data mining/text mining techniques to enable better business outcomes.

- Understand and analyze data sources including sampling biases, accuracy, and coverage.

- Break apart problems scientifically, providing insight into your recommendations and findings to both technical and non-technical partners.

- Research new ways for modeling and predictive behavior for large scale projects.

- Generate and test hypotheses, designing experiments to answer targeted questions of advanced complexity.

- Document projects including business objective, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics.

- Validate score performance.

- Document and present model process and performance.

What will you need?

Required Skills:

- Advanced degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math, or other quantitative fields.

- 3+ years of working experience in analytics, data mining, and/or predictive modeling, and data interpretation.

- Proven track record in modifying and applying advanced algorithms to address practical problems.

- Deep understanding of algorithms, machine learning and data science.

- Confident interacting with business peers to understand and identify use case, with a strong ability to articulate solutions and present them to business partners.

- Strong coding skills in one of the following : Python, R, or PySpark.

- Experience with Hadoop and NoSQL or related technologies.

- Knowledge of NLP/Text mining techniques and related open source tools.

- Outstanding collaboration and communication skills. Ability to effectively collaborate with distributed team.

- Understand and practice agile development methodology.

- Prior experience working in a security software product company.

Nice to Have:

- Understanding of DevOps, microservices architecture and container/Docker technologies.

- Hands-on experience implementing machine learning and security intelligence solutions.