Analyst-Data Science & Strategy

American Express; Gurugram District; On-site; INR 10,00,000 - 15,00,000; Full time

Job summary

A global financial services company in Gurugram is seeking a Senior Analyst to optimize fraud data strategies and manage third-party vendor relationships. The role requires 1-3 years of experience in analytics or similar fields, strong quantitative skills, and proficiency in tools such as Python and SQL. Benefits include competitive salaries, flexible working arrangements, and comprehensive health insurance.

Benefits

Competitive base salaries

Bonus incentives

Comprehensive medical, dental, vision, life insurance

Flexible working model

Generous paid parental leave

Career development and training opportunities

Qualifications

• 1-3 years of experience in analytics/credit/fraud risk.
• Strong ability to apply quantitative techniques to drive business results.
• Knowledge of third-party risk management requirements.

Responsibilities

• Conduct detailed analysis on third-party vendor data to drive data strategy.
• Collaborate with partners to develop and optimize fraud data strategies.
• Evaluate new external data sources to improve risk models.

Skills

Data handling

Statistical techniques

Analytical skills

Project management

Python

SQL

HIVE

Excel

Education

Bachelor's / master's degree in a quantitative field

Job description

Overview

You Lead the Way. 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 that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll 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 Enterprise Data Strategy team, in Credit and Fraud Risk Management, is responsible for optimizing risk decisions through the lifecycle by identifying, testing, and integrating internal data with external data assets. The team manages strategic global relationships and data strategy for key third party data providers and contribution policies with external data partners (including credit bureaus) to support risk products in prospecting, new accounts, customer management, and collection practices. The team also serves as a critical channel for the exploration of new data opportunities for the firm. The TRM within EDS is responsible for AEMP 10 compliance for global strategic vendors that EDS directly manages.

The incumbent would be part of the Enterprise Data Strategy team based in Gurgaon and reporting into Sr. Manager – Global Fraud Data Strategy. The incumbent will be responsible for conducting detailed analysis on third-party vendor data to drive orthogonal data strategy, manage strategic fraud external data relationships, rationalize existing external data and partner closely with modeling, strategy, and risk product teams to drive innovative solutions and solve challenges. The incumbent will also be responsible for Third-Party Lifecycle Management (TLM) for EDS managed strategic, critical data partners. They will collaborate with the data partners (vendors), Enterprise TLM, GSM, GCO & CFR Control Management/ Operational Excellence teams to manage compliance with AEMP 10 and identify process improvement opportunities, drive process enhancements & prevention strategies to strengthen the control environment.

Responsibilities

• Senior Analyst will be responsible for data analysis to challenge the status quo, identifying use cases for leveraging external data and will serve as a critical point for exploration of new data opportunities in Fraud, CBO and Banking space as well as perform TLM/TRM responsibilities for the vendors.

• Drive Fraud and CBO data strategy across the customer lifecycle through structured and risk-based principles.

• Be responsible for data mining, analytics, research, and capabilities development supporting regulated data (e.g. credit bureau information) and non-regulated data (e.g. aggregated or vertically compiled) to support Change Management, Operational Risk Events, and Strategic Decisions.

• Interacting and collaborating with partners across multiple lines of business including banking risk, fraud risk, CBO risk, capabilities, compliance, operations to develop, implement and optimize the fraud data strategies including new third-party data vendor onboarding and existing products.

• Evaluate new external data sources like Digital, biometrics, Gen AI merchant ATO, PII breaches, sold off businesses, etc. to improve risk models/strategies.

• Closely partner with external data vendors, internal capabilities, and internal Fraud risk teams to ingest new data sources for models/strategies.

• Support TLM for Fraud and CBO data evaluations and contract execution and on-going AEMP 10-required monitoring, manage Vendor Scorecards, SLA performance metrics to drive vendor accountability, Third Party Security Maintenance Assessments, Exit & replacement strategy

• Fortify foundation by ensuring permissible use & service level agreements are established, work orders or agreements meet standard, in effective collaboration with Procurement & Supply Management, Operational Excellence, Controllership & GCO.

How will you make an impact in this role?

Responsible for conducting detailed analysis on third-party vendor data to drive the data strategy in New Accounts and Customer Management models and strategy for Fraud, CBO and Banking risk and perform TLM and TRM responsibilities.

Minimum Qualifications

• 1-3 years of experience in analytics/credit/fraud risk or related work experience

• Strong data handling and ability to apply statistical / quantitative techniques and methods to drive business results

• Bachelor’s / master’s degree in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics, Computer Science or Economics) from a top tier institute

• Strong quantitative, analytical, project management and structured problem-solving skills with proficiency in Python, SQL, HIVE & EXCEL

• Knowledge of third-party risk management requirements

• Ability and willingness to work in a fast-paced environment and on aggressive timelines.

• Effective team player and be able to manage multiple projects.

• Exceptional ability to negotiate and communicate with Third Party Data Vendors on Pricing, Products and Contracts

• Experience in handling/influencing senior leaders/partners across geographies is preferred

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.