Manager - Data Scientist - BFSI

About the Role

Analytic Manager/Data Scientist is a partner-facing role and is responsible for delivering high impact analytic and data science projects by using analytics, in support of operational risk initiatives across consumer lending. This role supports analytics requirements for Credit Bureau Oversight and Quality reporting along with reporting for Issues Management.

Responsibilities:

- Person would be required to work individually or as part of a team on data science projects and work closely with business partners across the organization.

- He/she would be developing statistical/machine learning models using various techniques (supervised, unsupervised, semi-supervised) and technologies including but not limited to SAS, R,

- Market Skills and Certifications Essential Qualifications:

- BS degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis

- 8-12 years of relevant experience.

- Excellent understanding of data wrangling and preparation techniques both in single and multithreaded systems in Pandas, Numpy, RDD and spark data-frame

- Excellent command over supervised, unsupervised and semi-supervised techniques including but not limited to Random Forest, GBM, Ridge-Lasso-ElasticNet, XGboost etc. Time-series techniques like Arima (and the family), Arch, Garch etc.

- Experience with Deep-learning, Artificial intelligence techniques like ANN, CNN, DNN, RNN etc. and how to strategize deep-learning layer and activations.

- Experience implementing machine learning algorithms such as support vector machines, decision trees, logistic regression, clustering, neural networks, graphical models etc.

- Excellent understanding of model metrics including AUC, ROC, CAP-curve, F-statistics etc. with clear understanding of how model performance is tuned

- Strong programing skills.

- Expertise in analytic tools : R, Python, Scala, Java, SAS, NLP, Text mining, Image/Voice processing, digital analytics, deep learning, machine learning

- Demonstrate excellent organization skills throughout the development of analytical solutions (data analysis documentation, hypothesis documentation, code management, etc.).

- Data Engineering

- Sql, Teradata, Hadoop, Spark

- Exploratory Data analysis