Credit Risk Modeler - Financial Services Analytics

Overview of Role:

Dynamics of the Role:

Our client is a leading online lending financial firm seeking a highly skilled Senior Manager for its Financial Services Analytics team.

You will apply your analytical skills to work on all aspects of the account lifecycle in the consumer credit domain on behalf of a diverse set of clients, ranging from credit risk models for acquisition and account management, cross-sell applications, portfolio models for regulatory applications, event-based trigger solutions, and strategy analyses of various kinds. You will also develop complex analytic solutions directly with customers, business partners and other departments.

Advancement opportunities exist in both a technical and managerial track depending on the candidate's desires and aptitudes.

The Team's Focus:

The Financial Services Analytics team is an industry recognized, client-facing department that rewards an entrepreneurial spirit. We have deep technical expertise and an established reputation as an analytic solutions provider in the Financial Services industry. We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. We also have a modern computing environment and the freedom to explore new data sources and statistical and machine learning methodologies. All of these resources will enable you to help us deliver next-generation analytic solutions for our customers.

How You'll Contribute

This position is responsible for developing credit risk management and business intelligence analytic solutions through consulting engagements and research serving clients.

This position requires an understanding of US consumer lending and credit risk management practices.

- You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions for B2B customers in the US financial services segment. This includes but is not limited to the development of predictive risk management and business intelligence solutions.

- You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, building a variety of credit risk models (PD/LGD/EAD etc.)

- You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R & Python.

- You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.

- You will identify strategies and opportunities for customers to test and adopt the client's analytic products and services.

- You will foster a high performance culture and cultivate an environment that promotes excellence.

What You'll Bring:

- Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.

- Experience and demonstrated success in client-facing roles

- Strong analytical, critical thinking, and creative problem solving skills

- Advanced programming skills; proficiency with a statistical language such as R or SAS or Python;

- Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment

- Strong project management skills with the ability to manage multiple assignments effectively

IMPORTANT: LOOKING FOR DOMAIN EXPERTISE (FINANCIAL INDUSTRY-CREDIT RISK Analytics/RISK Analytics)

Call Komita on +91 8800747887 for more details & discussion.