Fraud Risk Strategy Consultant.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
A leading global software and technology company powering large-scale digital payments and transaction ecosystems. The organization is known for its data-driven approach, engineering depth, and a collaborative culture that values analytical rigor and customer-centric innovation.
About the role.
As a Fraud Risk Strategy Consultant, you will design, implement and optimize fraud prevention strategies across peer-to-peer and merchant payment flows, including debit card portfolios. You will balance fraud loss control with authorization rates and a frictionless customer experience. The role combines hands-on data analysis with the design of rules and monitoring that directly protect the business's bottom line.
What you will do.
- Design, implement and manage fraud prevention strategies for C2C and C2B payment products and debit card portfolios, covering card present and card not present transactions.
- Analyze transaction data to improve payment authorization rates across branded and unbranded checkout flows while keeping fraud losses within risk appetite.
- Minimize false declines and reduce unnecessary friction for legitimate customers by balancing mitigation with user experience.
- Investigate suspicious transaction patterns, account takeovers and payment anomalies to identify root causes and build proactive statistical models and rules.
- Design and deploy fraud rules within decision engines and workflow systems, and build monitoring reports to track strategy performance.
- Write advanced SQL queries for large transactional datasets and use Python for data manipulation, analysis and modeling, handing over production-ready code to engineering teams.
What you bring.
- Bachelor's or Master's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering or a related quantitative field.
- 3 to 6 years of hands-on experience in fraud strategy within fintech, digital payments, e-commerce or payment gateways.
- Demonstrated experience designing and implementing fraud rules using transactional, behavioral and third-party data.
- Strong proficiency in SQL, including advanced querying, joins, aggregations and performance tuning.
- Strong proficiency in Python, including Pandas, NumPy, exploratory data analysis and basic statistical modeling.
- Domain knowledge of transactional fraud, digital wallets, payment gateways and e-commerce fraud, with strong analytical and problem-solving skills.
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