Short Description:
The Analyst-Data Science position at American Express entails leveraging data and digital advancements to drive intelligent decision-making within the Credit and Fraud Risk team. Responsibilities include analyzing extensive data sets, developing predictive models, and articulating business findings to key stakeholders. Candidates should possess strong analytical skills, proficiency in programming languages such as SAS, R, Python, and the ability to work effectively in a team environment. Preferred qualifications include expertise in coding, algorithms, and high-performance computing. American Express prioritizes employee well-being with competitive salaries, comprehensive benefits, and flexible working arrangements.
Position: Analyst - Data Science
Company: American Express
Location: Gurgaon, Haryana, India | Bengaluru Urban, Karnataka, India
Job type: Full time
Job mode: Hybrid
ID: 24005237
Introduction
American Express, a leading financial services company, invites talented individuals to join its diverse community dedicated to customer satisfaction and business growth. The Analyst-Data Science role within the Credit and Fraud Risk (CFR) team presents an exciting opportunity to contribute to the company's success through data-driven decision-making. This role offers exposure to cutting-edge analytics, machine learning, and innovative problem-solving while supporting Amex's commitment to providing world-class customer experiences.
About American Express
American Express, or Amex, fosters a supportive environment where employees are recognized for their contributions and provided with benefits, programs, and flexibility to nurture personal and professional growth. With a global presence and unwavering commitment to integrity, Amex values inclusivity, ensuring every individual feels valued and heard.
Overview of the Business
The Credit and Fraud Risk (CFR) team at Amex plays a vital role in driving profitable business growth by mitigating fraud risks and maintaining minimal credit loss rates. Leveraging advanced tools and technology, the CFR team detects and combats fraud while enhancing the customer experience. This team utilizes data and digital advancements to improve risk management, enable commerce, and drive innovation.
Responsibilities of the Analyst-Data Science Role
As an Analyst-Data Science, you will be responsible for:
Understanding Business Dynamics
- Gaining insight into Amex's core business and the factors influencing various decisions.
- Analyzing extensive data to derive actionable business insights and develop innovative solutions.
Leveraging Data for Intelligent Decision Making
- Harnessing the power of closed-loop data through the Amex network to enhance decision-making intelligence.
- Innovating and implementing advanced big data and machine learning solutions.
Effective Communication and Collaboration
- Articulating and structuring business findings for leadership and key stakeholders.
- Maintaining awareness of industry developments in finance, payments, and analytics.
Qualifications and Skills
Minimum Qualifications
- MBA, Master's Degree in Economics, Statistics, Computer Science, or related fields.
- 0-30 months of experience in analytics, [with 24-48 months for Senior Analyst role].
- Ability to drive project deliverables and work effectively in a team environment.
- Strong communication and interpersonal skills.
- Innovative problem-solving abilities and aptitude for learning quickly.
- Proficiency in SAS, R, Python, Hive, Spark, SQL, and various unsupervised and supervised techniques.
Preferred Qualifications
- Expertise in coding, algorithms, and high-performance computing.
Benefits and Support
Amex prioritizes the well-being of its employees and their families, offering a comprehensive range of benefits and programs, including:
- Competitive base salaries and bonus incentives.
- Support for financial well-being and retirement planning.
- Comprehensive medical, dental, vision, life insurance, and disability benefits.
- Flexible working arrangements, including hybrid, onsite, or virtual options.
- Generous paid parental leave policies.
- Access to global wellness centers staffed with medical professionals.
- Confidential counseling support through the Healthy Minds program.
- Career development and training opportunities.
Equal Opportunity Employer
American Express is committed to diversity and inclusivity, making employment decisions based on merit and without regard to race, color, religion, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic.
Joining the Analyst-Data Science team at American Express presents an exciting opportunity to contribute to a global leader in financial services while advancing your career in data analytics and machine learning. If you are passionate about solving complex problems and driving innovation through data-driven insights, consider a rewarding career with Amex.Please click here to apply.
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