Statistical Modeling Role - BFSI

Description

Location: Bangalore

About us:

Global Decision Management is a global analytics community driving data led transformations across Citi business and geographies to create actionable intelligence for our business leaders. We are a fast growing organization penetrating multiple functions across marketing, risk, compliance & treasury services

What do we offer:

We are a part of North America Cards team providing strategic and analytical support to nurture growth through developing multi-faceted strategies for bank and customer. With a pre-eminent global brand, our team delivers top-in class analytics & innovative solutions though machine & deep learning intelligence that address clients- evolving needs. In order to achieve the best in class analytical solutions across business units we use the best in class tools and technology.

Few notables among the multiple areas that we are responsible for:

- Product analytics: This includes both new product development and feature change of existing products. Impact of product features and marketing offers are established through rigorous analytical efforts to understand the shift in customer requirements and sentiments to enable recommendation of necessary changes to drive customer delight along with profitability

- Customer experience and Servicing analytics: Analytics to aid better experience for customer through enabling lower call hold time, immediate problem resolution in calls & complaints, better cross-sell experience. Advanced text analytics leveraged for such solutioning.

- P&L forecasting for Acquisition and ECM customers: Regular forecasts of Cards P&L at varied level of granularity to guide strategic budget and revenue planning

- Rewards forecasting: Forecasts for rewards reserve to identify quarterly reserve build or release for the rewards/cash portfolios impacting the P&L

Expertise Required

Analytical Skills:

- Traditional Modelling - Must have hands-on expertise in developing and managing scoring models

- Traditional Modeling techniques like Regression, Logistic Regression, Factor Analysis, Segmentation, Discriminant Analysis, Stochastic Process, Time Series

- Advanced Modelling Hands-on knowledge on using advanced machine learning technologies - SVM,GBM, RF, XG Boost

- Problem Solving - Ability to solve unstructured problems and generate insights that business can leverage

- Provide support in the management and efficient delivery against requirements set forth by internal Risk oversight group as well as external regulators

- Preferred - Traditional and Advanced Modelling (especially anyone who has experience on PD/LGD model)

Tools and Platforms:

- Proficient in SAS, SQL, R, Python and familiarity with Hadoop and related tools (Hive, Hue, MapReduce, Impala, etc.) preferred.

- Proficient in MS Excel, PowerPoint

Domain Skills:

- In depth understanding of:

- Card Underwriting, Line Assignment

- Card Authorizations, Line Managements

- Understanding of IFRS 9, BCBS standards and its implications in consumer credit risk and PD / LGD / EAD models

- Knowledge on Comprehensive Capital Analysis and Review (- CCAR- ) & Dodd-Frank Act Stress Testing (- DFAST- ) regulations

- (Preferred) - Knowledge of IFRS9,BCBS,CCAR

Qualifications

Soft Skills

- Should have excellent communication and inter-personal skills

- Must have capability to clearly communicate analyses. Presentations to both technical and non-technical personnel are required to be made frequently as part of the job.

- Ability to work efficiently in a matrix environment balancing between both business and functional interactions and priorities

- Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.

Educational and Experience:

- Masters or Doctoral degree with a specialization in Statistics, Mathematics, or other quantitative disciplines

- (Preferred) Post Graduate in - Statistics, Mathematics, Operations Research,, Econometrics

- 3 to 5 years of hands on experience in delivering Analytical solutions, with good working knowledge in BFSI domain