Manager-Risk Management
Company Name:-
American Express
Job Location:-
Bengaluru, Karnataka
Job Summary:-
You Lead the Way.
Weve Got Your Back.
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways.
Whether were supporting our customers financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining whats possible and were proud to back each other every step of the way.
When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.
Function Description
Positions in Risk Management lead the development of credit, operational, enterprise, and fraud policies designed to profitably grow the portfolio, while ensuring excellent customer experience.
These policies utilize mathematical models and other techniques to understand and predict customer behavior.
At the manager level, the employee does not have a people leadership role but is often viewed as an emerging expert in the field.
Focuses on resolution of complex problems.
Conducts analyses, recommends changes to policies, and establishes procedures that affect immediate organization.
Credit and Fraud Risk (CFR) Organization with American Express is responsible for developing and monitoring Machine Learning models for predicting Consumer and Commercial behaviours such as credit risk, fraud risk, spending and revolve.
These models are used for key business decisions made across the customer life cycle to manage risk and accelerate profitable business growth.
Underpinning our growth as a company are the tools and capabilities that ensure we prudently take and manage risk in a viable way.
The Commercial New Accounts Decision Science team within CFR is responsible for developing and monitoring Machine Learning models for predicting individual and commercial credit risk at the time of underwriting commercial card members.
The team works very closely with Strategy partners, data science and technology teams to develop, implement, monitor, and manage risk models.
Purpose of the Role:
The successful candidate will lead a team of 2-3 analysts and will be responsible to developing and monitoring Machine Lear
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