Manager - Fraud Prevention

SiriusAI Inc.; Gurugram District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Sirius AI is seeking a Manager for its AI-driven Fraud prevention practice in India. You will shape strategy, solutions and delivery for banks, payments firms and fintechs, owning offerings end-to-end from client conversations to models running in production.

This senior role requires deep domain expertise, hands-on technical credibility, and strong leadership to mentor data scientists and engineers. You will guide roadmaps, ensure regulatory compliance and drive measurable fraud reductions.

Qualifications

• Bachelor's or master's in computer science, engineering, statistics, mathematics, economics or related quantitative field; PhD or MBA is a plus.
• 5+ years of experience in data science, analytics or AI, including at least 3 years focused on fraud or financial crime in financial services.
• Proven track record of taking fraud models into production and delivering measurable business impact.

Responsibilities

• Lead client engagements end-to-end from discovery and solution design to model development and value realization.
• Guide delivery of fraud use cases including card and payments fraud, identity fraud, account takeover and mule accounts using AI techniques.
• Define and drive strategy and roadmap for Sirius AI’s fraud prevention offerings, including accelerators and reusable assets.
• Oversee modelling approaches including supervised/unsupervised learning, anomaly detection, graph analysis and transformer models.
• Ensure client use cases meet regulatory specs for explainability, validation and ongoing monitoring.
• Build, mentor and lead a high-performing team of data scientists, AI/ML engineers and analysts; contribute to hiring.
• Support business development through proposals, demonstrations, proofs of concept and client presentations.

Job description

Sirius AI is a US-headquartered AI consulting and products company with operations in India. We work with financial services organizations across geographies to solve business problems using data, AI and technology. Our teams combine consulting, industry, product and engineering expertise to build practical solutions that deliver measurable business outcomes.

Role Overview

We are looking for a Manager in our AI driven Fraud prevention practice. You will shape the strategy, solutions and delivery of AI-driven fraud detection and prevention for banks, payments companies, lenders, insurers and fintechs.

This is a senior role that combines deep fraud domain expertise, hands-on technical credibility, client leadership and team building. You will own our fraud AI offerings end-to-end, from client conversations and solution design through to models running in production and delivering measurable reductions in fraud losses.

Key Responsibilities

• Lead client engagements end-to-end, from discovery and solution design through model development, deployment and value realization.
• Be the SME and guide delivery of use cases such as card and payments fraud, application and identity fraud, synthetic identities, account takeover, first-party fraud, authorized push payment (APP) scams and mule account detection but using new age AI techniques including graph-based reasoning and transformer architectures.
• Define and drive the strategy and roadmap for Sirius AI’s Fraud prevention AI offerings, including solution accelerators, reusable assets and product capabilities.
• Guide the team on modelling approaches including supervised and unsupervised machine learning, anomaly detection, graph and network analytics, transformer-based models, behavioral and device signals, agentic AI implementations and real-time scoring.
• Ensure client delivery use cases meet MRM and regulatory specs for explainability, validation and ongoing monitoring.
• Build, mentor and lead a high-performing team of data scientists, AI engineers ML engineers and analysts; set technical standards and contribute to hiring.
• Support business development through proposals, solution demonstrations, proofs of concept and client presentations, and help grow existing accounts.

What We’re Looking For

• Bachelor’s or master’s degree in computer science, Engineering, Statistics, Mathematics, Economics or a related quantitative field; a PhD or MBA is a plus.
• 5+ years of experience in data science, analytics or AI, including at least 3 years focused on fraud, financial crime or risk in financial services.
• A proven track record of taking fraud models into production and delivering measurable business impact.
• Deep understanding of fraud typologies, the fraud lifecycle and fraud operations, including alerting, investigation, case management and chargebacks.
• Strong grounding in machine learning (gradient boosting, neural networks, anomaly detection, graph methods) and working proficiency in Python and SQL, with the ability to review and challenge the team’s technical work.
• Familiarity with fraud platforms and data sources such as FICO Falcon, NICE Actimize, Feature space or SAS Fraud Management, and with device, identity and consortium data.
• 3+ years of experience leading teams, and confidence managing senior stakeholders
• Consulting or client-facing experience, including solution selling, pre-sales and engagement management.
• Excellent communication skills and the ability to translate complex technical concepts into clear business outcomes.

Good to Have

• Experience delivering fraud solutions across multiple geographies, such as the US, UK, Europe or SE Asia.
• Hands-on exposure to real-time streaming technologies (Kafka, Flink) and cloud ML platforms