Straive - Consultant/Senior Consultant - Fraud Risk Strategy

Job Summary :

We are seeking a highly analytical and strategic Fraud Risk Consultant to join our team. In this pivotal role, you will be responsible for designing, implementing, and optimizing fraud strategies for a leading global payments ecosystem.

The ideal candidate will bring strong technical expertise in SQL and Python, coupled with a deep understanding of the payment fraud industry. You will play a critical role in managing fraud losses across Consumer-to-Consumer (C2C) and Consumer-to-Business (C2B) payment flows, while simultaneously improving payment authorization rates and ensuring a frictionless customer experience.

Key Responsibilities :

- Domain Expertise : Proven experience in the Payments Industry, specifically dealing with Transactional Fraud, Digital Wallets, Payment Gateways, and E-commerce fraud.

- Fraud Strategy & Mitigation : Design, implement, and manage robust fraud prevention strategies for C2C (peer-to-peer) and C2B (merchant checkout) payment products, as well as Debit Card portfolios (covering both Card Present and Card Not Present transactions).

- Authorization Optimization : Analyze transaction data to improve payment authorization rates across various checkout flows (both branded and unbranded/guest checkouts) while keeping fraud losses within risk appetite.

- Customer Experience (CX) : Balance aggressive fraud mitigation with user experience by minimizing false positives (false declines) and reducing unnecessary friction for legitimate customers.

- Data-Driven Investigation : Investigate suspicious transaction patterns, account takeovers (ATO), and payment anomalies to determine root causes and develop proactive statistical models/rules.

- System & Rule Development : Design and deploy fraud rules within decision engines and workflow systems. Build comprehensive monitoring reports to track the performance of fraud strategies.

Required Qualifications :

- Bachelors or Masters 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, specifically within Fintech, Digital Payments, E-commerce, or Payment Gateways.

- Demonstrated experience in designing and implementing fraud rules using transactional, behavioural, and third-party data.

- Strong proficiency in :

1. SQL : Advanced querying, joins, aggregations, and performance tuning for massive transactional datasets.

2. Python : Data manipulation (Pandas, NumPy), exploratory data analysis, and basic modelling; ability to productionize or hand over code to engineering teams.

- Strong analytical and problem-solving skills with the ability to translate data insights into actionable strategies that directly impact the bottom line.

(ref:hirist.tech)