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American Express

Analyst - Data Science

American Express

Bengaluru, Karnataka, India · पूरा समय

अप्लाय करने वाले प्रथम बनिए

अनुभव
Up to 2 yrs
वेतन
उद्घाटन
1
की तैनाती
10 घंटे पहले

Where you'll work

नौकरी का विवरण

Role overviewAmerican Express is hiring an Analyst in the Credit & Fraud Risk (CFR) Analytics & Data Science Center of Excellence in Bengaluru. The team focuses on helping the business grow profitably by lowering fraud risk, keeping credit losses among the lowest in the industry, and using data-led decisioning to improve customer experience.This role sits at the center of risk, fraud, and marketing analytics. It involves building and validating predictive models, using them in decision logic, and turning data into practical business outcomes. The work supports decisions across customer targeting, underwriting, onboarding, and ongoing customer management.You will work on problems that affect millions of customers, with exposure to senior leaders in analytics, data science, and machine learning. The position is suited to someone who enjoys tackling complex, real-world business challenges and developing solutions powered by data.What you will doDevelop, test, deploy, and validate predictive models used to improve decision-making across risk, fraud, and marketing.Study the core business and understand the drivers behind major decisions.Work with large datasets to uncover insights and build new solution approaches.Use the Amex network’s closed-loop data to make decisions smarter and more relevant.Apply big data and machine learning methods to create better ways of solving business problems.Present findings clearly to leaders and key stakeholders across customer and prospect domains.Stay informed about developments in finance, payments, analytics, and related fields.What we are looking forMBA or a master’s degree in Economics, Statistics, Computer Science, or a related discipline.0 to 30 months of experience in analytics.Ability to own project deliverables and drive them toward business outcomes.Comfort working in collaborative, cross-functional teams.Strong written, verbal, and interpersonal communication skills.Creative problem-solving ability with a fast learning curve.Capability to work independently on complex, open-ended initiatives.Ability to collaborate with business partners across regions.About American ExpressAmerican Express has a long-standing culture shaped by innovation, shared values, leadership behaviors, and a strong commitment to customers, communities, and colleagues. The company emphasizes trust, security, and service while delivering differentiated products and strong customer support.Team members get opportunities to build new skills, grow into leadership roles, and expand their careers in an environment where ideas and impact matter.Benefits and supportCompetitive base pay.Bonus incentives.Support for financial well-being and retirement planning.Medical, dental, vision, life insurance, and disability coverage, depending on location.Flexible work arrangements that may include hybrid, onsite, or virtual setups based on role and business needs.Paid parental leave, depending on location.Access to on-site wellness centers with nurses and doctors at selected locations.Confidential counseling through the Healthy Minds program.Career development and training opportunities.Equal opportunity and employment conditionsAmerican Express provides equal employment opportunities and does not make decisions based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, age, or any other protected status.An offer of employment is subject to successful completion of a background verification check, in line with applicable laws and regulations.

कौशल

बिग डेटा एनालिटिक्स डेटा विश्लेषण समस्या को सुलझाना यंत्र अधिगम अंतर-कार्यात्मक सहयोग Business Intelligence Stakeholder Communication Fraud Detection Statistical Analysis Data-driven decision making Predictive Modeling Risk Analytics

यदि आपको उत्तर चाहिए तो इसे छोड़ दें — हम इसका उपयोग किसी और चीज के लिए नहीं करेंगे।

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