The Job logo

What

Where

Analyst-Data Science

ApplyJoin for More Updates

You must Sign In before continuing to the company website to apply.

Smart SummaryPowered by Roshi
Join American Express's Credit & Fraud Risk (CFR) Analytics & Data Science CoE team, where you'll develop, deploy, and validate predictive models to drive profitable decisions through data insights and innovative solutions. This full-time hybrid opportunity based in Gurgaon and Bengaluru offers competitive benefits and career growth.

About Amex

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

 

Join Team Amex and let’s lead the way together.

 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.

 

A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That’s where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. 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.

 

 

Minimum Qualifications

 

  • MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields 
  • 0-30 months of experience in analytics, big data workstreams
  • Ability to drive project deliverables to achieve business results
  • Ability to work effectively in a team environment
  • 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 

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

  • 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
Set alert for similar jobsAnalyst-Data Science role in Gurgaon, India or Bengaluru, India
American Express Logo

Company

American Express

Job Posted

6 days ago

Job Type

Full-time

WorkMode

Hybrid

Experience Level

0-2 Years

Category

Data & Analytics and Data Science

Locations

Gurgaon, Haryana, India

Bengaluru, Karnataka, India

Qualification

Bachelor

Applicants

45 applicants

Related Jobs

American Express Logo

Analyst-Data Science

American Express

Gurgaon, Haryana, India

+1 more

Posted: a month ago

Join Team Amex's Credit & Fraud Risk (CFR) Analytics & Data Science CoE team, where you will lead the development, deployment, and validation of predictive models to make profitable decisions using data and digital advancements. Analyze large datasets, drive innovation, and communicate insights to senior leaders. This full-time hybrid opportunity allows you to work in Gurgaon, Haryana, and Bengaluru, Karnataka, India.

American Express Logo

Analyst-Data Science

American Express

Gurgaon, Haryana, India

+1 more

Posted: 3 months ago

Job Responsibilities Contribute to defining and articulation of long-term AI product strategy and roadmap with clearly defined business metrics and outcomes. Solve complicated business problems by prioritization & ownership of products and solutions to meet business objectives. Prioritize and manage product backlogs, by balancing the requirements of partners and stakeholders. Evaluate prospective features in AI Products pipeline against changing requirements in the direction of AI adoptions. Contribute to all product lifecycle processes including market (external) research, competitive analysis, planning, positioning, roadmap development, requirements finalization and product development. Translate product roadmap into well defined requirements and acceptance test criteria. Drive end-to-end ML/AI product developments with a team of engineers and designers. Transform MVPs to production grade capabilities in collaboration with engineering teams Contribute to ideation and launch of innovative ML/AI products and capabilities. Innovate ways to evangelize product to drive Amex wide user adoption (For Learn): Curate and Deliver technical trainings in AI, Cloud, Hive and Spark for beginners to advance level users Create POCs for best in class AI-ML innovative products with the potential to scale Minimum Qualifications Strong technical background in AI / ML with background on python, SQL, data analytics and data visualization. Strong quantitative, analytical, and structured problem-solving skills.  Familiarity with ML model development lifecycle (MDLC): feature selection and engineering, different ML model algorithm families, optimizations considerations for ML models, deployment and serving challenges. Knowledge of Big Data Platforms such as Hadoop, Spark and Cloud Platforms such as GCP. Knowledge of designing and building big data tools and frameworks Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams  Understanding of the various ML Model deployment systems and processes with a basic knowledge of various model regulatory and governance policies.  Ability to prioritize well, communicate clearly and compellingly and understand how to drive a high level of focus and excellence with a strong, talented opinionated engineering, UX and QA teams Knowledge of Notebook based IDE for performing AI / ML tasks such as Jupyter and Airflow. Familiarity with product management tools such as Rally, Jira, and Confluence Excellent verbal and written communications skills Undergraduate/Master’s in Computer Science / Information Technology / Mathematics / Operations Research / Statistics, MBA from institutes of global repute. We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: 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