Senior Manager, Fraud Analytics & Data Science - Shpecfl : Job Details

Overview

At Genpact, we drive change with AI and digital innovation to redefine industries. Genpact's AI Gigafactory, our industry-first accelerator, showcases how we rescale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solution stack helps companies meet complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team shaping the future, this is your moment.

Genpact (NYSE:G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions, we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Welcome

Welcome to the relentless pursuit of a world that works better for people.

Inviting applications for the role of Senior Manager, Fraud Analytics & Data Science. Genpact is looking for a seasoned professional to join as Senior Manager – Fraud Analytics & Data Science. This role is critical in driving data-driven fraud prevention strategies, developing advanced machine learning models, and delivering actionable insights to safeguard the bank's products, platforms, and customers from evolving fraud threats.

Responsibilities

This role sits at the intersection of fraud risk management, data science, and business strategy, working across lines of business including Retail Banking, Payments, Cards, and Digital Channels.

Fraud Detection & Mitigation

• Build and enhance fraud detection systems using statistical and machine learning techniques.
• Monitor real-time and batch data to proactively detect fraud trends, anomalies, and suspicious patterns.
• Design and maintain fraud rules and scoring logic for transaction monitoring systems.

Advanced Analytics & Modeling

• Develop supervised and unsupervised machine learning models for fraud prediction (e.g., logistic regression, decision trees, random forests, XGBoost, neural networks).
• Perform data wrangling, feature engineering, model training, validation, and performance monitoring.
• Use anomaly detection, clustering, and network analysis to detect sophisticated fraud behaviors.

Data Strategy & Infrastructure

• Work with data engineers and IT to ensure access to high-quality, real-time data feeds.
• Design and build fraud-related datamarts, dashboards, and alerting mechanisms.

Collaboration & Governance

• Collaborate with fraud operations, compliance, IT, business units, and external partners.
• Ensure alignment with regulatory expectations, model risk governance, and internal audit requirements.
• Present insights and fraud risk updates to senior management and fraud committees.

Innovation & Research

• Explore and implement new technologies (e.g., graph analytics, behavioral biometrics, NLP) for advanced fraud detection.
• Stay current with fraud typologies, threat intelligence, and global fraud trends.

QualificationsMinimum Qualifications

• Bachelor's or Master's in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Relevant years of experience in fraud analytics, data science, or financial crime risk management within banking or fintech.
• Hands-on experience building and deploying ML models in a production fraud detection environment.
• Strong command of Python, R, SQL, and data science libraries (pandas, scikit-learn, TensorFlow, etc.).

Preferred Qualifications / Skills

• Exposure to real-time fraud systems (e.g., SAS Fraud Management, Actimize, Falcon) is highly preferred.
• Experience with large datasets, Hadoop/Spark, and cloud platforms (AWS, GCP, Azure) is a plus.
• Familiarity with tools like Tableau, Power BI, or similar for visualization and reporting.

Apply

Apply now and embark on an exciting career journey with us.

We look forward to receiving your application if you are ready to take on this exciting challenge.

Why Join Genpact?

• Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation.
• Make an impact – Drive change for global enterprises and solve business challenges that matter.
• Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities.
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day.
• Thrive in a values-driven culture – Integrity, inclusion, curiosity, courage, and accountability enable ideas to fuel progress.

Join Genpact's community of 140,000+ coders and tech shapers and move your career in the only direction that matters: Up.

Let's build tomorrow together

The approximate annual base compensation range for this position is $110,000 to $150,000. The actual offer, reflecting total compensation and benefits, will be determined by factors including experience, knowledge, skills, abilities, geographic location, and internal equity.

Equal Opportunity

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Note: Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process. Be cautious of scams that require payment or the purchase of starter kits or equipment.

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