Associate - Digital Product Operations

Job Description

At American Express, our culture is built on a 175-year history of innovation, sharedand Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Shift Time: 3:30 PM- 12:00 PM IST

How will you make an impact in this role

Do you thrive on transforming raw data into actionable insights that drive business decisions Are you passionate about driving transformation and building efficient and automated solutions to complex problems If yes, then this role is for you!

In this exciting role within American Express Products Operations team, you will play a pivotal role in supporting the organization's risk management and compliance efforts. You will leverage your analytical expertise and programming skills to build a robust reporting and monitoring infrastructure and transform manual processes, ultimately improving efficiency and decision-making across the organization. You will also support the development, deployment, and monitoring of predictive models and ML solutions that help drive business decisions across functions like credit risk, fraud detection, customer attrition, personalization, etc.

Minimum Qualifications

• Strong presentation skills, particularly in creating executive summary decks and Tableau dashboards for sharing strategies and progress to senior leaders
• Highly analytical with critical thinking, ability to analyze large sets of data and distill into meaningful reports and documents to tell stories and drive specific outcomes
• Work with business stakeholders (risk, operations, marketing, credit, etc.) to understand use cases, define requirements, and translate them into data science / ML solutions
• Build, validate, and fine-tune machine learning models (classification, regression, clustering, time series, etc.)

Technical Skills:

• SQL (SQL server, GCP/LUMI ) - Intermediate to Advanced
• Python/Pyspark - Intermediate to Advanced
• Knowledge on Google Cloud Computing (Big Query)
• Dashboard Tools - Tableau, Power BI
• Hands-on experience with ML libraries / frameworks (scikit-learn, XGBoost / LightGBM / CatBoost, TensorFlow / PyTorch, etc.)
• Experience with data manipulation, ETL, SQL, Pandas, NumPy
• Understanding of evaluation metrics (ROC-AUC, precision/recall, F1, MSE, etc.)
• Familiarity with industry / domain challenges in BFSI, e.g., credit risk, fraud detection, regulatory compliance, etc.
• Passion for innovation and a desire to continuously learn and improve existing processes
• Active listening skills, summarization skills and lateral thinking to uncover and react to emerging opportunities.
• Ability to work well under pressure, adapt to changing circumstances, and make decisions quickly and effectively.
• Strong communication and interpersonal skills
• Excellent problem formulation and solving skills

Preferred Qualifications

• Advance knowledge in Google Cloud Computing (GCP) ecosystem
• Hands-on experience with ML libraries / frameworks (scikit-learn, XGBoost / LightGBM / CatBoost, TensorFlow / PyTorch, etc.)
• Knowledge of APIs and automation tools like Power Automate, Airtable, Powerapps

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 centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling 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.