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Immediate Start: Manager-Fraud Analytics Job Opening In Bengaluru – Now Hiring Tredence Inc.

Immediate Start: Manager Fraud Analytics

Job description

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

Required Skill Profession

Operations Specialties Managers