Manager-Fraud Analytics

Tredence is a global data science and AI solutions provider specializing in providing data-driven solutions to organizations and focused on solving the last-mile problem in AI. Headquartered in San Jose, with offices in Foster City, Chicago, London, Toronto, and Bangalore, Pune, Gurgaon, Chennai, Kolkata.

Tredence is 2200-plus employees strong and caters to the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, banking, and industrials as clients.

Recognized as one of the fastest-growing private companies in the country for the 7th consecutive year, as per the Inc. 5000, Tredence has twice been named a 'Market Leader' in The Forrester Wave™ : Customer Analytics Service Providers. In its 10th year, Tredence closed a USD 175 million Series B

funding

last year, which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base.

Tredence has been certified twice as a

Great Place to Work

(GPTW) that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance. As a premier destination for high-quality data science and analytics talent, Tredence has strong programs for training, engagement, recognition, and development.

We are seeking a skilled Digital Analytics and Optimization Specialist to drive deep insights into user interactions, website performance, and e-commerce sales. The ideal candidate will leverage clickstream data, Google Analytics, funnel analytics, and ad performance metrics to identify user behavior patterns and conversion blockers. They will implement data-driven personalization strategies to optimize user experience and maximize ROI from search ads.

Key Responsibilities :

Lead and mentor a team of analysts and data scientists delivering risk and fraud analytics solutions for global retail clients

Develop and deploy analytical frameworks for fraud detection, anomaly identification, transaction risk scoring, and payment integrity

Monitor current trends in Fraud landscape, suggest preventive & corrective measures

Advise clients on a wide range of Fraud Management / Analytics initiatives.

Collaborate with product, engineering, and operations teams to translate business risks into measurable data strategies

Design dashboards and monitoring systems to track suspicious activity and risk KPIs

Leverage machine learning, statistical modeling, and pattern recognition to proactively detect fraudulent behavior

Own and manage end-to-end delivery roadmaps and translate business objectives into structured execution plans, with clear milestones, deliverables, and success metrics.

Communicate insights and recommendations to senior stakeholders, influencing policy and platform controls

Introduce best practices in program governance — sprint tracking, delivery scorecards, dashboards, and reporting frameworks.

What we are looking for

9+ years of experience, including 2+ years in program / project management within the data & analytics space with strong exposure to fraud, payments, trust & safety, or risk analytics

Deep expertise in technical skills - SQL, Python statistical modeling, anomaly detection, and data visualization tools (Tableau, Power BI, or equivalent)

Proven experience in fraud analytics, payments, safety, risk analytics, anomaly detection

Excellent problem-solving, storytelling, and stakeholder communication skills

Experience leading analytics teams and managing end-to-end project delivery

Good to have

Retail expertise preferred

Experience with real-time detection models, graph-based fraud analytics, or ML-driven risk scoring