Analyst-Data Science at American Express Company South Africa

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

0.0

Posted On

22 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Machine Learning, Predictive Modeling, Big Data, SAS, R, Python, SQL, Hive, Spark, Communication, Problem Solving, Teamwork, Cross-Functional Integration, Statistical Techniques, Algorithm Development

Industry

Financial Services

Description

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. 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 · Analyse 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 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 centres staffed with nurses and doctors (depending on location) · Free and confidential counselling 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.

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Responsibilities

The role involves the development, deployment, and validation of predictive models to enable profitable decisions across risk, fraud, and marketing. Analysts will analyze large amounts of data to derive business insights and innovate solutions.