Purpose : The candidate shall be responsible for data modeling to re-invent credit worthiness, risk management for a FinTech startup NBFC in the SME lending space

Job Details :

- 5+ years of experience in the field of advanced quantitative techniques.

- Integrate advanced credit modelling, analytic and quantitative tools, statistical modelling techniques, and data mining procedures and tools to derive business insights, solve complex business problems and improve decisions

- Acquire deep understanding of SME lending domain

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

- Work closely with Data management team to understand data availability/wholesomeness and drive synergies in the group

- Perform data integration, manipulation, and querying for purposes of reporting and more sophisticated analytics

- Present complex information in an understandable and compelling manner

- Deliver end products /solutions maintaining quick turn around times and highest quality standards

- Knowledge of Hadoop/grid based programming for large scale problem solving is a plus.

- Model building and application experience in data mining techniques and tools (R, SPSS, MATLAB (knowledge) would be preferred

- Knowledge of Machine learning including Bayesian methods.

Qualifications:

- Post Graduate/Graduate in Statistics or MBA from reputed institute, and having a course in mathematics/statistics is a plus

- Thorough understanding and application of statistical techniques in real world business environment

- Exceptional academic qualifications including advanced statistical training, consumer marketing and/or risk analytics (actuarial experience a big plus)

- Experience in independently executing advanced analytics with practical business output (e.g., statistical, data and ideally actuarial) to drive business results

Soft Skills

- Strong problem solving and logical skills

- Good written and verbal communication skills.

- Ability to multi-task, work under pressure and deliver accurate, high volume results on tight deadlines.

- Ability to actively contribute in a talented team with various backgrounds in a dynamic, complex and fast-paced environment.

- Excited to help build a start up business in an ambiguous environment

Hard Skills

- R, SPSS, MATLAB knowledge would be preferred

- Experience in working with enterprise class data environments to access, manipulate and analyze large data sets

- Advanced understanding of MS SQL, MS Access, MS Excel

- Experience in Statistical Modelling using Univariate and Multivariate Regression Analysis, Generalized Regression Modeling, ANOVA/ANCOVA/MANOVA, Non-Parametric methods, Categorical and Longitudinal Data Analysis, Survival Analysis, mixed models, Factor Analysis, Sampling methods, Bayesian Statistics, Monte Carlo Markov Chain simulation, Experimental Design, Protocol Design, Survey Sampling, Clustering/Classification CART, Decision Trees, CHAID, Linear Optimization, etc

Eligibility:

- Advanced Analytic experience (3 years+) in a real-world business setting

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