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hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
How will you make an impact in this role?
American Express’ Third Line of Defense (3LOD), has established a new Credit Risk Review function which is responsible for providing independent oversight and assurance to key Consumer & Commercial credit risk portfolios. The team aims to strengthen our risk management framework and ensure that we continue to uphold the highest standards of credit risk management across the enterprise.
This Credit Risk Review function would be supported by a strong Data Analytics team to enable data-driven and technology-led assurance. We are looking for a detail-oriented data analyst eager to learn and apply analytics to credit risk review, turning complex datasets into clear, well-documented, and actionable insights for the review teams.
Key Responsibilities
Perform hands-on data extraction, transformation, analysis and automation using SQL, Python, or similar tools with accuracy & timeliness
Develop insightful dashboards and reports in Tableau or Power BI.
Support portfolio and thematic review analyses through data preparation, validation, and visualization.
Perform quality assurance checks on outputs to ensure accuracy.
Maintain clear documentation of data sources, logics, and processes.
Contribute ideas for process improvements within scope of work.
Participate in skill-building and knowledge-sharing sessions.
Contribute to a culture of ideation and innovation by bringing fresh ideas, exploring new tools and experimenting with approaches that enhance analytics delivery
Qualifications
1–3 years’ experience in analytics, data manipulation, or reporting (financial services or credit risk a plus).
Proficiency in SQL, Big Query & Python; additional scripting languages a plus.
Working knowledge of credit risk concepts, portfolio metrics, and risk assessment techniques.
Proficiency in dashboarding tools such as Tableau and Power BI.
Strong Excel skills for quick-turnaround analysis.
Familiarity with prompt engineering to optimize the use of Gen AI tools for research, data analysis, code development, automation and insight generation
Detail-oriented with strong quality control habits.
Ability to work collaboratively and manage multiple tasks in parallel.
Curiosity to learn and develop credit risk concepts, portfolio analytics, and advanced analytic techniques.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
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.
hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.