Neha Singh<br>
Vice President, Enterprise Business Intelligence Engineering

Khushboo Kumar<br>
Service Delivery Lead

Rohit Bairagi<br>
Lead Credit Specialist

<p>Job Description :<br><br>You Lead the Way. We have Got Your Back.<br><br>At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we are supporting our customers- financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what's possible - and we are proud to back each other every step of the way.<br><br>When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.<div><p><br></p>Function Description: <br><br></div><div><p>- The CFR team helps drive profitable business growth by reducing the risk of fraud and maintaining our customers' confidence in the security of our products. It utilizes 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.</p><p><br></p><p>- The team leads efforts that leverage data and digital advancements to improve service and risk management as well as enable commerce and drive innovation. CFR is responsible for developing and monitoring statistical models for predicting individual and commercial' behaviors such as credit risk, fraud risk, spending and revolve.</p><p><br></p><p>- These models are used for key business decisions made across the customer life cycle to manage risk and accelerate profitable business growth. Underpinning our growth as a company are the tools and capabilities that ensure we prudently take and manage risk in a viable way </p><p><br></p>Purpose of the Role: <br><br></div><div><p>- As part of the Accertify Decision Sciences team in CFR, the incumbent will be primarily responsible for developing new and enhancing existing Decision Science Solutions and Data Products for Accertify by leveraging best-in-class modeling techniques and available data </p><div><br></div><p>Responsibilities: </p><div><br></div><p>- Build new and enhance existing Fraud Prevention Models by leveraging best-in-class analytical techniques and data across Clients (Online Merchants) </p><div><br></div><p>- Apply machine learning techniques to create Data Prodcuts </p><div><br></div><p>- Mine client data to improve model's risk discrimination or improve economics over and above existing framework </p>Partner with Accertify collegaues to implement models &amp; develop Capablities that will help in more optimal decision and drive revenue <br><br></div><div><p>Minimum Qualifications :</p><div><br></div><p>Critical Factors to Success: </p><div><br></div><p>Business Outcomes: Drive Revenue growth and profitability through advanced analytical techniques; Innovation in use of Modeling Techniques and Variable creation; </p><div><br></div><p>Leadership Outcomes: Put enterprise thinking first - connect the role's agenda to enterprise priorities and balance the needs of customers, partners, collegaues; Lead with an external perspective - challenge status quo and bring continuous innovation to our existing offerings while keeping a keen eye on industry/competition</p><p><br></p><p>- Demonstrate Learning Agility - make decisions quickly with highlest level of integrity</p><div><br></div><p>Past Experience: </p><div><br></div><p>- 1+ years with relevant experience in Analytcial/Modeling Skills </p><div><br></div><p>- Preferred: Experience in R/Python programming and/or Statistical Modeling </p><div><br></div><p>Academic Background: </p><div><br></div><p>- Post Graduate in Statistics/Mathematics/Economics/ Engineering/Management </p><div><br></div><p>Functional Skills/Capabilities: </p><div><br></div><p>- Data Science/Machine Learning/Artificial Intelligence: Gradient Boosting Machines, Deep Learning, Unsupervised Techniques, Decision Trees, Nearest Neighbour </p><div><br></div><p>Technical Skills/Capabilities: </p><div><br></div><p>- Analytics &amp; Insights: Advanced Statistical Techniques; Data Correlation; GINI, Concordance, Precision, Recall; Deck Mechanics </p><div><br></div><p>Knowledge of Platforms:<br></p><div><br></div><p>- R, Python, SAS, SQL; Advanced Excel and Powerpoint </p><div><br></div><p>Behavioral Skills/Capabilities: </p><div><br></div><p>Enterprise Leadership Behaviors </p><div><br></div><p>-  Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective </p><div><br></div><p>-  Do It The Right Way: Communicate Frequently, Candidly &amp; Clearly, Make Decisions Quickly &amp; Effectively, Live the Blue Box Values, Great Leadership Demands Courage- </p><br> American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected 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.<br><br>Schedule (Full-Time/Part-Time): Full-time</div><div><p><br></p> Job type- Permanent<br><br> Industry Type - Operations<br><br> Contact Url - https://jobs.americanexpress.com<br><br> The Apply Button will redirect you to website. Please apply there as well.<br></div></p>

Gurgaon/Gurugram

American Express - Analyst - Risk Management II 

American Express - Analyst - Risk Management II  ,Job Description for American Express - Analyst - Risk Management II  in American Express in  Gurgaon/Gurugram for (1-7) years of experience. Apply Now!

Job Description for American Express - Analyst - Risk Management II  in American Express in  Gurgaon/Gurugram for (1-7) years of experience. Apply Now!