Analyst-Data Analytics at American Express Company South Africa

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

0.0

Posted On

17 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Tableau, Power BI, AML, KYC, Data Analytics, Risk Management, Data Strategy, Compliance, Critical Thinking, Communication, Hive, R, LUMI

Industry

Financial Services

Description

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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our 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. International Operational Excellence is a newly expanded organization, responsible for supporting our international Issuing and our international Acquiring businesses across 27+ markets in ensuring a robust first line of defense, and in playing an active role in supporting the Business meet its growth objectives whilst demonstrating an effective control framework. Our organization helps our international businesses manage risk, respond to new regulation, and develop new products whilst creating and nurturing effective partnerships across multiple key stakeholders across the organization. The organization also leads an enterprise-wide International Financial Crimes Transformation program and is building an international first line privacy function designed to strengthen our enterprise-wide controls around privacy and information protection. This role is a part of Regulatory Data Products team which is responsible for transformation of strategies to fight financial crimes. We leverage data analytics to drive future state Anti-Money Laundering (AML) and KYC solutions. Responsibilities include: Perform analytics to support multiple workstreams within FCR (Financial Crime Risk) in a dynamic regulatory environment (using SQL/Python) Work with large volumes of structured and unstructured data to drive meaningful insights Identifying data and process gaps, partnering with teams to enable remediation followed by issue management across Amex systems to mitigate risks Monitor KYC/KYB health of Cardmembers and Legal Entity portfolios by creating dashboards (Tableau/Power BI) Define and build robust data driven strategies to optimize AML risk and enhance customer experience Partner with multiple teams (Compliance, Tech, PMO) to define AML risk strategies and understand the regulatory framework for the respective markets Qualifications: Degree in a quantitative area (e.g. Finance, Statistics, Economics, Mathematics and Engineering) is preferred. Past Experience: Minimum of 3 year of relevant work experience Technical and Function Skills/Capabilities: Proactive thinking and strong analytical skills Strong ability to solve unstructured problems through data Strong process mindset and ability to collaborate Excellent critical thinking and attention to detail Exceptional drive and commitment; ability to work and thrive in in fast changing, results driven environment; and proven ability in handling competing priorities Proactive learner with the ability to quickly learn new concepts and techniques with minimal supervision Solid experience with analytical (SQL, Hive, Python, R, LUMI) tools is expected Strong verbal and written communication skills, with the ability to translate between various technical and non-technical audiences Knowledge of credit risk strategy and/or payments industry is a plus 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: 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.

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Responsibilities

This role involves performing analytics using SQL and Python to support Financial Crime Risk workstreams, leveraging large volumes of data to derive meaningful insights. Responsibilities also include monitoring KYC/KYB health via dashboards and defining data-driven strategies to optimize AML risk.