Tredence Analytics Solutions - Manager - Fraud & Risk Analytics

Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization and Data Management to Advanced analytics, Big Data, and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost-effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with some strong IP and pre-built analytics solutions in data mining, BI, and Big Data.

Role Overview :

As a Manager for Fraud Analytics, you will be responsible for leading large-scale data engineering and analytics programs that deliver measurable business impact specializing in Fraud, Payments, and Risk Analytics. You will manage delivery roadmaps, coordinate cross-functional teams, mitigate risks, and ensure the successful adoption of scalable solutions. This is a hands-on leadership role requiring both technical grounding in data / analytics and the ability to translate data into strategic insights for senior business stakeholders.

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
• Introducing best practices in program governance - sprint tracking, delivery scorecards, dashboards, and reporting :
• 6-13 years of experience in fraud analytics, payments, safety, risk analytics, anomaly detection
• Ability to interpret AB test results, make reasonable hypothesis, deep dive as needed. Good understating of experiment setup (power analysis, primary / secondary metrics, statistical significance etc.)
• Deep expertise in technical skills - SQL, Python statistical modeling, anomaly detection
• Minimum 2 yrs experience in Tableau
• Experience in e-Com and Retail
• Excellent problem-solving, storytelling, and stakeholder communication skills
• Experience leading analytics teams and managing end-to-end project deliver

(ref : hirist.tech)