American Express - Data Analyst - Python Programming (1-3 yrs)

Job Description :

We've Got Your Back :

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey thats unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, youll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company's success. Together, well win as a team, striving to uphold our company values and powerful backing promise to provide the worlds best customer experience every day. And well do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together.

The Global Services Group (GSG) organization delivers extraordinary customer care to Card member, Merchants, & Commercial clients around the world while providing best in-class Credit, Collections, & Fraud services. The GSG Late-Stage Collection Strategy is responsible for enabling US and International Collection organization by developing and optimizing placement, segmentation, pricing, and treatment strategies across the entire collections lifecycle. Late Stage Collection Strategy team will drive enhanced collections effectiveness, reduce operational risk, accelerate digital outreach, and expand treatment options, thereby driving various

functional business outcomes.

Responsibilities Include :

- Design/Develop late stage collection strategies & multiple treatment offers across globe by leveraging data analytics to drive higher collection effectiveness.

- Systematically identifying out of pattern trends across collection lifecycle in a timely manner.

- Develop and implement solutions to overcome out of pattern trends.

- Working independently assuming responsibility for the development, validation and implementation of Collections projects

- Collaborate with global teams evaluating processes and making suggestions for process and system improvements.

- Interacting with all levels of the organization across multiple time zones

Qualifications :

- Up-to 3 years of experience in related field.

- Bachelor's Degree or equivalent, preferably in a quantitative field

- Post-graduate degree in a quantitative field

- Proven thought leadership, Strong problem solving and communication, relationship management skills

- High Proficiency on Hive/SQL/Big Query/Python/Statistical packages is essential

- Conceptual and creative thinker with extensive background and interest in quantitative business analytics

Compliance Language :

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life.

Benefits include :

- Competitive base salaries

- Bonus incentives

- Support for financial-well-being and retirement

- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)

- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

- Generous paid parental leave policies (depending on your location)

- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)

- Free and confidential counseling support through our Healthy Minds program

- Career development and training opportunities

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.