Manager - Analytics (Machine Learning)

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Manager - Analytics (Machine Learning)

  • Haryana (HR), India
  • American Express
  • Work From Office
Apply Before: 01-Jan-2027

Job Overview

Company   American Express
Location   Haryana (HR), India
Job Type   Full Time
Salary   15000/MONTH
Experince   1 /Years
Education   Bachelor's degree
Is Remote | Office   Work From Office
Website   Apply now

Job Title: Manager, Audit Analytics

Job Type: Full-time
Location: Gurugram, Haryana, India
Benefits: Health insurance, competitive base salary, bonuses, wellness programs, and more


About American Express

At American Express (Amex), we believe that with the right support, people and businesses can achieve incredible progress. When you join Team Amex, you become part of a global, diverse community with a shared commitment to back our customers, communities, and one another.

Here, your contributions are recognized, your leadership is valued, and your impact is celebrated. We offer meaningful career journeys backed by programs and benefits that support you both personally and professionally.


Team Overview – Internal Audit Group (IAG)

American Express’ Internal Audit Group (IAG) is a leader in the financial services industry with pioneering initiatives like:

  • Audit NextGen

  • Data-Driven Continuous Auditing

  • Auditor of the Future

These initiatives support our vision to be a world-class internal audit function that:

  • Provides data-driven and tech-enabled assurance

  • Delivers timely, business-aware, forward-looking risk insights

  • Prepares colleagues to become future enterprise leaders


Role Overview

As a Manager, Audit Analytics, you will be a key player in transforming business risks and controls into powerful analytic solutions. You’ll contribute to multiple audit projects across various business domains, apply cutting-edge techniques, and help American Express stay ahead in risk assurance.


Key Responsibilities

  • Translate business risks, controls, and data into analytics requirements; develop insights that influence strategic decision-making.

  • Manage multiple complex audit projects across global business areas.

  • Link analytics to broader strategic initiatives.

  • Apply advanced analytics and modeling techniques to uncover improvement opportunities.

  • Leverage machine learning to identify patterns, predict risk, and improve processes using structured and unstructured data.

  • Write, debug, and compile code in ML environments (Python, PySpark, Apache Spark, etc.).

  • Prototype advanced analytics use cases and provide actionable insights to stakeholders.

  • Collaborate closely with peers, providing subject matter expertise and making insights relevant and actionable.

  • Promote adoption of emerging analytics tools and methodologies through continuous learning and innovation.


Qualifications

  • Master’s degree in Analytics, Statistics, Operations Research, Computer Science, Engineering, or related field.

  • 3–4 years of experience in data and analytics roles.

  • Strong technical expertise in:

    • Python (scikit, nltk, pandas, numpy)

    • SQL/Hive QL

    • Visualization tools (Tableau, Power BI)

    • Machine learning, forecasting, pattern recognition

  • Experience in building dashboards, writing analytic code, and interpreting data in a business context.

  • Background in financial services and understanding of related products, economics, and regulations.

  • Ability to analyze complex problems, break them into components, and deliver risk/control insights.

  • Excellent storytelling and data visualization skills.

  • Strong communication skills with the ability to present findings to leadership.

  • Proven ability to manage multiple projects and implement feedback across deliverables.

  • Passion for continuous innovation and making data-driven business impact.


Benefits & Perks

We support our colleagues and their families with programs that promote physical, financial, and mental well-being. Benefits include:

  • Competitive base salaries and bonus incentives

  • Retirement and financial well-being support

  • Comprehensive medical, dental, vision, life, and disability insurance

  • Flexible working models: hybrid, onsite, or virtual depending on the role

  • Generous paid parental leave

  • Global wellness centers with on-site medical staff (location-dependent)

  • Free and confidential Healthy Minds counseling services

  • Professional development and leadership training opportunities


Diversity, Equity & Inclusion

American Express is proud to be an equal opportunity employer. We make all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, age, or any other protected status.

Employment with American Express is subject to a successful background verification check, in accordance with applicable laws and regulations.


Join Us

If you're passionate about using data, analytics, and innovation to deliver meaningful business impact, and thrive in a collaborative, future-focused environment—we’d love to have you on Team Amex.


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