Manager - Scoring Model - Retail Cards Business

Manager - Scoring Model

Job Description :

About (Name of Business Group) :

It is a leading U.S. Retail Cards business, with a 40%+ market share and greater than Dollar 40B in receivables across 40+ million open active Card member accounts. RS provides retail card products to the customers of a diverse group of major national retailers, oil companies and specialty retailers and dealers (the Partners ). Products provided by RS include financing, transaction, and payment solutions that augment Partners existing marketing and sales strategies. These products serve to enhance Partner sales through direct integration with Partner branding, marketing and data management. RS also provides supplemental services to Card members such as debt protection, identity protection and credit monitoring.

Role Outline/Job Summary :

This position is part of the Retail Services scoring group and supports the development, maintenance, validation, and other management of credit scoring models used across all portfolios.

Job Description :

POSITION TITLE: Manager

BUSINESS GROUP: CSIPL FUNCTION/GROUP: Risk Management Analytics

DEPARTMENT: Credit Scoring

LOCATION: Mumbai

1. ROLE & RESPONSIBILITIES :

Business/ Department :

Objectives :

Core Responsibilities :

1. The position will partner with Cards Risk Management policy and consumer risk team members to support the profitable growth of Cards business and loss mitigation efforts.

2. Must have the knowledge and expertise to deliver innovative modeling techniques and data strategies to enable best in class risk management.

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

4. Interacts communicates effectively and builds a strong working relationship on an ongoing basis with business partners.

Day-to-Day Responsibilities :

1. Must have hands-on expertise in developing and managing scoring models

2. Work on modeling projects /unstructured problems, look at providing solutions that go beyond traditional methods - Using advanced machine learning technologies and new data sources

3. Develop next-gen modeling capabilities in the team to deliver best in class predictive modeling solutions

4. Must have the capability to clearly communicate analyses.

5. Presentations to both technical and non-technical personnel are required to be made frequently as part of the job.

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

Financial/ Budgetary: NA

Individual Contributor (IC)/Managerial IC

Key Deliverables :

1. Development of new scoring models as per business requirement

2. Exploring and implementing alternate modeling techniques using machine learning algorithms, big data technologies, new data sources, etc.

3. Ongoing management and validation of scoring models across portfolios

4. Effective interaction with business partners across functions including risk, technology, product management amongst others

Qualifications :

Required :

Education: Masters or Doctoral degree with a specialization in Statistics, Mathematics, or another quantitative discipline

Experience: 5+ years related work experience required, with significant academic experience/contribution.

Skills :

1.Strong analytical skills in conducting sophisticate analysis using bureau/vendor data, customer performance data and marketing data to solve business problems.

2.Good programming skills in advanced SAS and SQL in mainframe, UNIX, and PC environments.

3.Advanced level expertise in statistical techniques like Regression, Logistic Regression, Factor Analysis, Segmentation, Discriminant Analysis, Stochastic Process, Time Series, etc.

4.Exposure to machine learning algorithms, pattern recognition; Expertise on alternate / big data modeling techniques like Boosting / Bagging (GBM, AdaBoost), Random Forest, SVM, etc.

5.Experience of working in Python, R and familiarity with Hadoop and related tools (Hive, Hue, MapReduce, Impala, etc.) preferred.

6.Highly proficient in Excel/pivot tables and PowerPoint.

7.Experience in BFS domain, especially in an analytics or policy role is preferred

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

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

Other :

1. Exposure to project/process management

2. Strong communication and presentation skills targeting a variety of audiences

3. A qualified candidate needs to be able to work with cross-functional teams

4. Creates and sustains a network of strong client relationships.

5. Flexibility in approach and thought process

6. Ability to work effectively across portfolio risk policy teams and functional areas teams

7. Strong influencing, negotiating, and facilitation skills.

Timings: 1PM-10PM (UK Shift)