LenDen Club - Chief - Big Data Analytics

- We are an innovative consumer lending start-up, LenDenClub, looking for team player who would be interested in disrupting the unsecured consumer lending market. While having a great foundation and experience in consumer credit, the candidate should be willing to go beyond traditional evaluation methods and develop new data driven evaluation techniques.

- Peer-to-peer lending (P2P) has emerged as a powerful platform to facilitate access to credit by directly connecting borrowers to potential lenders leveraging on the power of Internet and Social Media. A key component of P2P platform is an innovative credit score engine which changes the information paradigm traditionally used by financial institution to assess credit risk by including traditional data, social media data, big data, psychometric data etc.

- You will be reporting directly to the CEO. This is a very challenging but massively rewarding opportunity.

Job Duties & Responsibilities :

- Design, create & implement the risk assessment framework for retail borrowers, which includes assessment roadmap and strategy for creating successful credit model

- Create a credit scoring model includes traditional & non-traditional factors

- Continually analyse available data to identify risk scenarios, identify/execute process enhancements, and analyse credit risk holistically

- Analyse & identify parameters affecting repayment behaviour of the borrowers

- Define the source of data points, channelize them and incorporate the same in credit model

- Create and manage credit model using live data feed from the users

- Provide the necessary inputs for strategic decisions regarding borrower selection and credit assessment

- Define and recalibrate the credit process as and when needed to make sure the usage of maximum available data points across the domains

- Collaborate with various internal & external stakeholders (strategic partners, product / platform providers, aggregators, other PPI issuers etc) to implement market-leading features / enhance the feature-set of the existing credit assessment model

- Work with the product team for timely implementation of the product enhancements

- Review behavioural patterns of the borrower and realign model parameters to reduce probability of default by the borrowers

- Performing various departmental functions, including loan monitoring, risk rating, stress testing and audit preparation.

- Develop underwriting policies for new credit verticals in conjunction with Portfolio

- Work with engineering and research teams on designing, building and deploying data analysis systems for large data sets. / Develop and/or evaluate various models used for loss forecasting, portfolio stress testing, and other targeted analysis.

Eligibility :

- B.Tech/M.Tech/PhD/MSc/MS in Financial Engineering, Computer Science, Mathematics, Econometrics, Statistics, Engineering or Physics

- Additional qualifications like an MBA/ CFA/ CAIA/ CA is preferred, but is not a pre-requisite.

- Ideally should have good programming skills in any one of MATLAB/R/Python

- Understanding and exposure to statistical techniques like Liner regression, Logistic regression, Segmentation

Essential Skills :

- Work experience of more than 5 years

- Must have good understanding of conditional probabilities, statistics, econometrics, time series analysis, Neural networks and Bayesian Networks

- Project experience in machine learning, pattern recognition, predictive analytics or data mining is a huge plus

- Experience in credit risk management in automated decisions (underwriting or customer management) will be added advantage.

- A strong analytical background with experience/desire for innovative disruptive solutions with demonstrable examples such as adopting a non-traditional data source into credit decision algorithm.

- Experience in credit scoring, risk management or fraud prevention in India will be added advantage

- Expected to device consumer finance risk scorecards, assess the health of the scorecards and develop predictive models

- Responsibilities on Strategy Development would include Approve / Decline, Limit Assignment, Risk Based Pricing, Line Management, Authorizations, Re-pricing & Re-issue, among others

- Experience in an entrepreneurial environment a plus