American Express Hiring for Analyst-Data Science at Karnataka, India Full Time

Description

You Lead the Way. We’ve Got Your Back.

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re 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’re proud to back each other every step of the way. 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. We back our colleagues with the support they need to thrive, professionally and personally. That’s why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

​​​​​​Function Description

With a focus on digitization, innovation, and analytics, the CFR Global Decision Science team creates central, scalable platforms and customer experiences to help markets across all of these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business.

In particular, the team will lead and provide the support for development of world-class personalization capabilities catering to all global markets. This would involve development & deployment of cutting-edge Machine Learning/Data Science solutions which will be able to drive industry leading performance lifts. This will in turn require the candidate to exhibit a high level of expertise in data understanding through statistical analysis, decision support logic and data techniques. Colleague will drive improvements in generating data driven actionable strategies to enable business growth initiatives.

Purpose of the Role

The candidate would be placed in CFR Global Decision Science in an Analyst role and would be responsible for coming up with Data science backed solutions to develop, implement and monitor best in class anti-gaming predictive models for solicited and unsolicited prospect channels for US Consumer cards.

Responsibilities

• Understand the US Consumer Card Prospect Acquisition ecosystem

• Develop predictive models to identify gamers and devise business strategy to use model scores to reduce acquisition gaming and improve acquisition ROI

• Reduce false positive rate among impacted acquisitions

• Evaluate new structured and unstructured data sources and modelling techniques/algorithms to enhance model predictions

• Feature engineering using Experian Ascend, Partner intelligence and Amex transaction data

• Work with product teams and capability partners to develop requirements and implement the models on various platform

Critical Factors to Success

• Build cutting edge and customized Machine Learning/Artificial Intelligence algorithms to enhance modeling accuracy and efficiency of the anti-gaming models

• Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders

• Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings

• Demonstrate learning agility, make decisions quickly and with the highest level of integrity

• Lead with a digital mindset and deliver the world’s best customer experiences every day

Qualifications

Past Experience

0-2 years’ experience in Analytics, Data Science, Machine Learning, or related fields

Academic Background

Bachelor’s/Master’s Degree in Statistics, Mathematics, Engineering, Economics, Business Administration, or related fields from Premier Institutes only

Functional/Technical Skills

• Python, SQL , SAS

• Hive, Pyspark

• Advanced Statistical and Data Mining Techniques

• Preferred:

• Hands on knowledge of ML techniques like Gradient Boosting and Neural Networks

• Knowledge of Digital Channels & Products

• Good understanding of card economics

Knowledge of Platforms

• Hadoop/Spark

• Big Data – Cornerstone

Behavioural areas

• Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective

• Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential

• Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage

• Ability to learn quickly and work independently with complex, unstructured initiatives.

• Flexibility and adaptability to work within tight deadlines and changing priorities.

• Strong communication & interpersonal skills and ability to work effectively in a team environment & collaborate across teams.

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.

Job: Marketing

Primary Location: India-Karnataka-Bengaluru

Other Locations: India-Haryana-Gurgaon

Schedule Full-time

Req ID: 22003280