Senior Analyst-Data Science

American Express; Gurugram District; Hybrid; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Competitive base salaries

Bonus incentives

Flexible working model

Career development and training

Comprehensive health benefits

Parental leave policies

Wellbeing support

Job summary

American Express is seeking a data analytics professional for the Credit and Fraud Risk (CFR) team to develop, deploy, and validate predictive models that enable profitable decisions across risk, fraud, and marketing.

You will analyze large data sets, collaborate with cross-functional partners globally, and translate complex results into actionable insights to protect customers and grow the business.

Qualifications

• MBA or master’s degree in economics, statistics, computer science or related fields
• 24–48 months of analytics/big data experience
• Ability to work effectively in a team environment
• Ability to drive project deliverables to achieve business results
• Strong communication and interpersonal skills
• Innovative problem solver with ability to learn quickly and work independently with complex initiatives
• Ability to integrate with cross-functional business partners worldwide
• Experience with SAS, R, Python, Hive, Spark, SQL
• Experience with unsupervised and supervised techniques including active learning, transfer learning, neural models, decision trees, reinforcement learning, Bayesian models

Responsibilities

• Understand the core business and decision levers
• Analyze large data sets to derive insights and create solutions
• Leverage Amex network for intelligent, relevant decisions
• Innovate with big data and ML approaches
• Articulate findings to leadership and partners
• Stay aware of developments in Finance/Payments/Analytics

Skills

Analytical thinking

Strong communication

Team collaboration

Education

MBA or related master's degree

Tools

SAS

R

Python

Hive

Spark

SQL

Job description

Overview of the Business:

Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation.

Job Description:

Overview of the Business:

Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company.

As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry’s top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.

Description On The Role:

Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.

Responsibilities:

• Understand the core business of AXP and the levers behind various decisions
• Analyze large amounts of data to derive business insights and create innovative solutions
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solution
• Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
• Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.

Qualifications:

Minimum Qualifications:

• MBA, master’s degree in economics, Statistics, Computer Science Or related fields
• 24-48 months of experience in analytics, big data workstreams.
• Ability to work effectively in a team environment
• Ability to drive project deliverables to achieve business results
• Strong communication and interpersonal skills
• Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
• Ability to Integrate with Cross-Functional Business Partners Worldwide
• SAS, R, Python, Hive, Spark, SQL
• Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering

Preferred Qualifications:

• Expertise in Coding, Algorithm, High Performance Computing

About Us:

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.

About The Team:

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.