American Express Hiring for Sr.Analyst-Data Science at India Full Time

Description

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. We back our colleagues with the support they need to thrive, professionally and personally. That’s why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

Functional Description:

Credit and Fraud Risk Organization (CFR) within American Express has the mission of minimizing credit and fraud losses while promoting business growth and delivering superior customer service. In India, the CFR-CoE (Center of Excellence) is a team of 700 colleagues involved in developing predictive models, business strategies, capabilities, and platforms for driving the above outcomes across all portfolios for American Express globally.

To deliver on the vision, the team is driving the roadmap for modernizing risk platforms while enabling new business capabilities. Modernizing the Authorizations platform is a key strategic imperative to uplift an aging infrastructure and provide new capabilities to enable rapid innovation and growth.

Purpose of the Role:

As a part of CAS Modernization – Credit Decision Science team, the candidate will drive the vision and strategy for modernization of this platform from credit decision science prospective. The role involves creating product vision based on current and future need of Credit Risk Decision Science teams.

The successful candidate will be responsible to understand the current and future need of the credit decision science team in terms of the data, variables, modelling process and capability and work with the product teams to design the system. This role will require working closely with Decision science team and the product teams. Additionally, the candidate will work on data science initiatives as well.

Responsibilities

• Provide business process modernization requirements based on current state and future needs. Ensure current needs are being met while future is being defined.

• Identify and Incorporate needs from both consumer and commercial portfolio by partnering with Data Science and Decision Science team

• Provide thought leadership, and partner with cross-functional teams including Risk, Compliance and Technologies

• Understand best practices across portfolios and work toward process and data standardizations globally

• Identify and prioritize the list of platform optimization opportunities & recommendations

• Communicate and build consensus across multiple stakeholders in creating the best-in-class solution

• Incorporate new data intelligence from consumer and commercial bureau globally by partnering with market risk teams, strategy partners and external data vendors

• Establish and maintain a disciplined process of review customer cases to identify new model/variable opportunities

Qualifications

Critical Factors to Success:

• Strong analytical skills and an innovative approach to solving both practical and theoretical problems and a tremendous will to win

• Demonstrated ability to provide insight and accurate judgment in addressing and resolving business challenges and opportunities

• Strong people relationship building, management and influencing skills

• Exceptional verbal, written, and interpersonal communication skills

• Sound knowledge of Machine learning algorithms / statistics / data mining and research methods

Past Experience:

• Post-Graduation from a top tier college (either MBA/M tech/MS/master’s in quantitative subjects such as Economics, Statistics or Mathematics)

• 0-3 years relevant experience in Analytical Domain. Knowledge of SAS, SQL, Python, Hive is an added advantage

• Good communication and persuasion skills with an ability to translate technical analysis into business insights and recommendations, work with diverse teams and individuals, and influence others without direct authority

• Ability to understand data, synthesize into real world meaning, break down business problems, and conduct brainstorming.

• Relevant statistical analysis/econometric experience required and able to effectively translate analytical findings to business implications.

• Experience working in highly cross-functional environment, flexibility, and adaptability to work with tight deadlines and changing priorities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, 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.

Job: Risk

Primary Location: India

Other Locations: India-Haryana-Gurgaon, India-Karnataka-Bangalore

Schedule Full-time

Req ID: 22003516