Sr Lead - CRO Office

Credit Saison India

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+
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Job summary

Credit Saison India seeks a Fraud Strategy leader to own the end-to-end fraud risk program across digital and branch lending. You will architect real-time rule engines, ML-based detection, and device intelligence, partnering with Engineering, Data Science, and Product to embed controls throughout customer journeys.

You will guide governance, risk indicators, and cross-functional execution while staying ahead of RBI guidelines and industry standards.

Qualifications

  • Bachelor’s degree; Master’s preferred in a quantitative field.
  • Proven experience in fraud strategy, analytics, and risk management.
  • Experience with digital lending platforms and branch networks is desirable.

Responsibilities

  • Design and implement end-to-end fraud risk management strategies for digital and branch channels.
  • Lead the deployment of real-time fraud rule engines and ML-based detection models.
  • Collaborate with Product, Tech, and Analytics to integrate fraud controls into customer journeys.
  • Monitor regulatory guidelines and provide board-ready threat dashboards.

Skills

Fraud strategy
Risk analytics
ML/AI fraud models
API security
Data science

Education

Bachelor’s degree
Master’s preferred

Tools

Fraud rule engines
Biometrics
CKYC

Job description

About Credit Saison:

Established in 2019, Credit Saison India (CS India) is one of the country’s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India’s huge gap for credit, especially with underserved and under penetrated segments of the population.
Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. Credit Saison India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings.
Currently, Credit Saison India has a branch network of 80+ physical offices, 2.06 million active loans, an AUM of over US$2B and an employee base of about approx ~2000 employees.

Credit Saison India is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people.

Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan’s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Based in Singapore, Saison International’s global operations span over Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil, with active investments in debt, equity, corporate venture capital, and technology.

Job Description: Fraud Strategy
Location – Bangalore
About the Role

Operating directly out of the Chief Risk Officer’s (CRO’s) Office, the Individual will serve as the strategic enterprise lead for all fraud prevention, detection, and mitigation capabilities. This is a deeply tech and analytics-focused role sitting at the critical intersection of risk strategy, data science, tech innovation, product design, and operational execution.

As Credit Saison India scales across diverse lending channels—spanning fully digital fintech integrations to branch-led physical/assisted operations—this leader will architect and execute robust product-level fraud control frameworks. You will be market-informed, technologically progressive, and execution-focused, bridging high-level risk strategy with day-to-day implementation across Product, Tech, Credit, Operations, Analytics, and Legal/Investigations teams.

Key Responsibilities
  • Tech & Analytics-Driven Fraud Architecture: Partner directly with Engineering, Data Science, and Product teams to design, build, and scale real-time automated fraud rule engines, predictive ML/AI fraud models, API security controls, device intelligence, and automated decisioning platforms.

  • Advanced Analytics & Pattern Detection: Leverage data science, network graph analytics, anomaly detection, and predictive modeling to proactively identify complex fraud rings, synthetic identity networks, and emerging attack vectors across digital and branch portfolios.

  • Strategic Fraud Governance & Frameworks : Design, implement, and continually evolve Credit Saison’s end-to-end fraud risk management strategy across both digital (APIs, fintech partnerships, app journeys) and branch-led (assisted, field operations, physical verification) lending channels, under the guidance of CRO and Head of FCU. Establish Key Fraud Indicators (KFIs), risk tolerance thresholds, and fraud-loss mitigation goals.

  • Product-Level Fraud Strategy : Partner closely with Product Managers to build friction-appropriate fraud controls into customer journeys across the lifecycle—from acquisition, onboarding, and underwriting to disbursement and servicing.

  • Channel-Specific Fraud Controls :

  • Cross-Functional Execution : Act as the primary engine for executing fraud initiatives. Work hand-in-hand with Tech, Product, Analytics, Operations, Compliance, and Field teams to translate high-level strategies into executable product features, rule engine deployments, and operational workflows.

  • Market Benchmarking & Threat Intelligence : Maintain deep awareness of market standards, emerging fraud vectors, and evolving risk topologies across the Indian banking, NBFC, and fintech landscapes. Continuously benchmark internal controls against industry best practices.

  • Vendor & Tooling Ecosystem : Evaluate, select, integrate cutting-edge vendor solutions and fraud prevention technologies (e.g., fraud rule engines, biometrics, bank account validation, OCR/document verification systems, device intelligence) working alongside tech and product teams.

  • Analytics, Rule Engine & ML Strategy : Oversee the performance, continuous tuning, and optimization of fraud rule engines and usage of machine-learning detection models in partnership with the Risk Analytics team.

  • Incident Investigation & Root Cause Analysis (RCA): Lead post-incident analyses on fraud leakages, conduct vulnerability reviews, and rapidly deploy corrective strategies to prevent recurrence across affected channels.

  • Regulatory Monitoring & Compliance : Actively monitor regulatory guidelines from the RBI regarding fraud reporting, cyber-resilience, and customer protection; work with respective teams to ensure seamless compliance and timely reporting.

  • Leadership & Board Reporting : Develop strategic dashboards and threat assessment materials for the CRO and Management Committees.

Qualification & Experience:
  • 6-10 years of progressive experience in risk management, with a primary focus on Fraud Strategy, Fraud Analytics, Fraud Tech, or Risk Analytics within a fast-paced Bank, NBFC, or Fintech.

  • Demonstrated track record of designing and executing fraud strategies across both digital lending platforms and physical/branch-led networks.

  • Bachelor’s degree; preference for a Master’s or quantitative background (e.g., Finance, Economics, Engineering, Statistics, or Management).

  • Deep domain expertise in Indian digital lending ecosystems, bureau integrations, verification infrastructure (CKYC, Account Aggregator, etc.), and RBI regulatory frameworks.

  • Hands-on experience with fraud rule engines, risk modeling, device intelligence tools, and third-party risk management solutions.

You will excel in this role if you:
  • Are a Tech & Analytics-Dri

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