Job Responsibilities:  Sr. Analyst

Salary: $20-$30/Hour

Company: American Express

Location: Baton Rouge, USA

Educational Requirements: Bachelor's Degree

At American Express, we recognize that with the proper backing, human beings, and agencies have the strength to develop in high-quality approaches.  Whether or not we’re supporting our customers’ economic self-belief to move in advance, taking commerce to new heights, or encouraging people to discover the arena, our colleagues are continuously redefining what’s feasible - and we’re proud to return every different step of the way. Whilst you be part of #TeamAmex, you become part of a diverse network of over 60,000 colleagues, all with a commonplace aim to deliver remarkable consumer enjoyment every day.

Unleash your talents to outline the destiny of the way we serve our clients.

How we serve our customers is continuously evolving and is a task we gladly accept. Whether or not you’re finding new approaches to save you identification fraud or permitting customers to start a new enterprise, you've got a platform to discover insights and actions that could have a significant impact on our customers and our enterprise. And, with the possibility to analyze leaders who have described the direction of our industry, you could grow your career and outline your own direction.

This critical crew is liable for coping with employer dangers thru the client lifecycle and across all our international products. We develop enterprise-first information competencies, construct worthwhile choice-making frameworks, create device mastering-powered predictive fashions, and enhance client servicing strategies. This group has introduced enterprise-main effects 12 months after 12 months while permitting a worthwhile increase and delivering a nice-in-elegance client experience.

This team is based on four core functions:

• Credit score chance strategy: monitor credit score portfolios and optimize income-based danger management decisions in any respect degrees of the customer credit score lifecycle
• Fraud danger strategy: broaden fraud prevention strategies on behalf of our clients

You may paint in an incredibly dynamic and thrilling environment and will have the opportunity to form strategies and rules for American-specific services and products. You may play an influential position working carefully with colleagues in different threat control teams, marketing, Finance, Servicing, prison, Compliance, Banking, and generation to create global-elegance techniques and talents.

The key obligations for colleagues in a credit score or Fraud danger approach include:

• Expand and constantly decorate guidelines, methods, and controls for mitigating credit hazard publicity and preventing fraud
• Conduct quantitative analysis to determine the thresholds inside which consumers and agencies can get the right of entry to funds (for example: who is authorized for a card, how a whole lot credit line they receive, and after they swipe their card, is their transaction approved?)
• Design patron conversation and servicing strategies to guide change management strategies, making sure a high-quality revel is across each purchaser touchpoint
• Become aware of, compare, and combine new records sources and abilities into decision-making
• Examine big volumes of information to discover rising credit score tendencies and discover new fraud patterns
• Partner with different groups throughout the enterprise to standardize methodologies
• Hold a powerful manipulation surrounding and respond to operational breakdowns with subject

Qualifications

• Superior degree (e.g., MS, Ph.D., or MBA) in a quantitative field such as Econometrics, facts, mathematics, Operations research, Engineering, or laptop technology
• The superior diploma is desired however no longer required given a suitable aggregate of formal schooling and paintings revel in
• Credit/Fraud chance control experience and expertise in credit score lifecycle are preferred
• Combination of analytical competencies, technique information, assignment control, and dating-constructing skills
• Capacity to handle large datasets using SAS, square, R, Python, or some other comparable programming language
• Concept management and answer-orientated attitude
• Capacity to assume strategically and practice each quantitative method and commercial enterprise insights to force results
• Potential to build sturdy relationships in cross-functional surroundings
• Clean, effective written and oral conversation competencies