Analyst - Risk Management II

You Lead the Way. We’ve 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 we’re 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 what’s possible — and we’re 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.

Organization Description:

The CFR team helps drive profitable business growth by reducing the risk of fraud and maintaining our customers’ confidence in the security of our products. It utilizes an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve service and risk management as well as enable commerce and drive innovation. CFR is responsible for developing and monitoring statistical models for predicting individual and commercial’ behaviors 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 prudently take and manage risk in a viable way

Purpose of the Role:

Partner with Risk colleagues to develop world class Risk Management Capabilities.

Responsibilities:

The responsibilities include, but are not limited to:

• Develop and Deploy Risk Capabilities like Data Derivation/Ingestion, Data Quality and Business Intelligence.
• Work on proprietary Cornerstone/Risk platforms using Big Data Tools and Framework including but not limited to Hive, Spark, ETL.
• Write Code, unit test, and perform code review and testing
• Contribute into evaluating and/or developing right tools, common components, and capabilities
• Develops deep understanding of business logic, intent and long-term objectives to align priorities and develop long life solutions.
• Identify, evaluate and Mitigate Risks
• Identifies opportunities to adopt innovative technologies
• Provides continuous support for ongoing application availability

Academic Background:

• Graduate/Postgraduate in Computer Science or related streams
• Past Experience: 2-4 years relevant experience Preferred

Functional Skills/Capabilities:

• Understanding of Project Management
• Advanced data manipulation techniques
• Understanding of data/modelling/analytics/ETL concepts
• Strong knowledge of SQL is a must.

Technical Skills/Capabilities:

• Hive / SQL
• Strong SQL skills

Behavioral Skills/Capabilities: Enterprise Leadership Behaviors

• Set the Agenda:

Ability to apply thought leadership and come up with ideas.

Take complete perspective into picture while designing solutions

Use market best practices to design solutions

• Bring Others with You:

Be a team player

Learn from peers and leaders

Coach and help peers

Collaborate

• Do It the Right Way:

Communicate Effectively

Be candid and clear in communications

Make Decisions Quickly & Effectively

Live the company culture and values

Business Outcomes:

Drive capabilities innovation & resultant business growth by applying existing & emerging technologies to deliver against customer goals

Leadership Outcomes:

Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.

Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.