Sr. Consultant/Manager - Credit Risk Policy

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Role
The Sr. Consultant/Manager - Credit Risk Policy role involves integrating credit policy decisions into forecasting, conducting variance analysis, and using various risk models. The candidate will also report key insights to senior management and must have hands-on coding skills within the banking and financial services sector, specifically in credit cards.
Summary Generated by Built In

Description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are seeking someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.

We're looking for an analytics professional from the banking and financial services industry, with Credit Risk Policy & Risk Management experience. The role is responsible for effective management of the overall Risk Forecasting verical.

Responsibilities-

Key Responsibilities:

1. Credit Policy Integration: Translate credit policy decisions into portfolio forecasts (should understand portfolio maturation, impact of policy change on loss trajectory, Bad to Good, Severity etc.)

2. Variance Analysis: Project and Track Actuals, explaining variances against forecasts, including the underlying drivers of changes.

3. Model incorporation: Work with a range of models, including vintage-driven, stochastic and challenger orthogonal models.

4. Senior Management Reporting: Clearly articulate variance explanations and key insights to senior leadership.

Requirements

Experience in Credit Cards - Credit Policy (Acquisition Policy required, Existing Client Management is acceptable, First Party Fraud/collections policy experience not required)

Strong proficiency in understanding of vintage models, roll rate models, and time series based risk models. 

Ability to translate credit policy and macro environment inputs into portfolio impacts, including DQ, Low FICO concentration, Exposure, Credit and Fraud Losses.

US Credit Cards Domain Experience is mandatory. 

Credit Card Policy experience is a must (non CECL, CCAR, implementation or marketing)

Hands on coding ability (and strong understanding of data/codes in this space. 

Experience in Python, Databricks Notebooks, SQL, Excel, PPT

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Top Skills

Python
SQL
The Company
Bengaluru, Bengaluru
5,000 Employees
On-site Workplace
Year Founded: 2011

What We Do

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.

We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

In India, our offices are located in Chennai, Hyderabad and Bangalore.

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