MakeMyTrip

Risk & Loss Prevention Manager

MakeMyTrip

Gurugram, Haryana, India · Full Time

Be the first to apply

Experience
8–12 yrs
Salary
Openings
1
Posted
18 hours ago
Work mode
In office
Education
Bachelor's degree
Eligibility
Applicants with the specified bachelor’s degree and 8–12 years of relevant fraud/risk experience, including 3–5 years in people management, are suitable for this manager-level role.
Resume
Required to apply

Where you'll work

Job description

Role overview

This position sits within the Risk and Loss Prevention team at MakeMyTrip and is based in Gurgaon, Haryana. Reporting to the Vice President of Risk and Loss Prevention, the role is focused on protecting the platform from fraud, abuse, and other financial threats while supporting a secure customer experience at scale.

About the function

The risk team is responsible for building and running near real-time systems that spot suspicious activity across transactions, bookings, and payment flows. It works closely with product, technology, finance, and legal partners to keep improving fraud defenses, automate controls, and respond to changing fraud patterns across the platform.

What this role involves

The manager will lead fraud prevention, monitoring, and investigations across multiple business areas. The role requires reducing financial exposure, strengthening controls, and driving risk programs in partnership with cross-functional stakeholders.

Fraud strategy and governance

  • Create and execute fraud prevention plans across different business lines.
  • Build governance structures, policies, and control mechanisms for fraud risk.
  • Track new fraud patterns and recommend preventive actions.
  • Set the fraud risk appetite while keeping business growth and risk in balance.

Detection and prevention

  • Oversee live fraud monitoring across customer journeys and payment activity.
  • Improve detection rules using analytics and behavioral signals.
  • Strengthen safeguards for payments, wallets, refunds, and loyalty programs.
  • Find control gaps and put effective mitigation measures in place.

Investigations and incident handling

  • Lead reviews of high-risk fraud cases and abuse patterns.
  • Perform root-cause analysis and ensure corrective steps are implemented.
  • Work with Legal and Compliance teams on escalated matters.
  • Coordinate response efforts for major fraud incidents.

Analytics and intelligence

  • Use SQL and analytical tools to uncover fraud trends and patterns.
  • Design dashboards and track key fraud performance measures.
  • Apply advanced analytics for fraud detection and relationship mapping.
  • Support automation and predictive monitoring initiatives.

Governance and reporting

  • Monitor fraud KPIs, KRIs, loss measures, and operational performance.
  • Share insights and strategic recommendations with leadership.
  • Prepare executive-level dashboards on fraud trends and actions taken.
  • Maintain alignment with internal policies and regulatory expectations.

Cross-functional partnership

  • Collaborate with Product, Engineering, Finance, and Operations teams to improve fraud controls.
  • Partner with Data Science teams on fraud models and scoring enhancements.
  • Support audits, regulatory reviews, and compliance workstreams.

Team leadership

  • Lead, coach, and develop a strong fraud risk team.
  • Set team goals, performance measures, and growth plans.
  • Promote accountability, risk awareness, and continuous improvement.
  • Spread fraud knowledge and awareness across the organization.

Qualification and experience

  • A bachelor’s degree in Engineering, Commerce, Finance, Statistics, Mathematics, Computer Science, or a related field.
  • 8 to 12 years of experience in fraud risk management, payments risk, trust and safety, financial crime, or risk operations.
  • 3 to 5 years of experience managing people.
  • Strong practical knowledge of SQL, Excel, BI tools, and fraud analytics platforms.
  • Experience with payment gateways, card networks, wallets, UPI, banking systems, and digital commerce environments.
  • Familiarity with fraud detection tools, device intelligence, behavioral analytics, and risk orchestration platforms is preferred.

Key success factors

  • Strong analytical ability to work with large transaction datasets and identify fraud signals.
  • Comfort with Excel, SQL, and data tools for risk assessment and reporting.
  • Fast and accurate decision-making during live transaction monitoring.
  • Solid understanding of online payments, chargebacks, and changing fraud methods.
  • Collaborative approach to work with Product, Tech, Finance, and Compliance teams.

Leave it if you'd like a reply — we won't use it for anything else.

Click to browse, drag & drop, or paste a screenshot

PNG, JPG, GIF, MP4, WebM, MOV · Max 20MB each · Up to 5 files

🤖
Online · instant AI help