Monitor card authorization flows in real time to flag suspicious activity across debit/credit card portfolios.
Design, test, tune, and deploy fraud detection rules and risk scoring strategies at the authorization decision point.
Investigate suspected fraud cases, determine root cause, and take action such as blocking or stepping up authentication.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. They are trusted by over 300 million people in 100+ countries and have a flat, results-driven culture.
Investigate fraud attacks, quantify their impact, and present clear findings to drive prioritisation and response.
Build and maintain dashboards to monitor fraud trends, rule performance, and key operational metrics.
Work closely with fraud operations, data scientists, engineers, and product managers to translate insights into action.
Moniepoint is an all-in-one financial services platform for emerging markets, processing the majority of POS transactions in Nigeria. It is the second-fastest growing company in Africa with a culture of innovation, teamwork, and growth.
Own the full fraud policy lifecycle, from signal analysis and risk design to implementation and optimization, to protect all products and customer interactions.
Lead cross-functional fraud initiatives across Engineering, Product, Compliance, and external partners like Visa, serving as primary escalation for incidents.
Build fraud dashboards, mentor junior analysts, and drive alignment on risk decisions that balance exposure, customer experience, and regulatory requirements.
EarnIn is a fintech pioneer that builds products delivering real-time financial flexibility for those living paycheck to paycheck. The company has an experienced leadership team, world-class funding partners like A16Z and Matrix Partners, and is growing fast with a healthy core business.
Analyze and classify escalated fraud cases from Compliance, Credit Operations, and Collections teams.
Identify, document, and analyze fraud patterns and modus operandi used by fraudsters.
Propose new signals, rules, and controls for fraud prevention, monitor performance, and validate effectiveness.
Vana is a financial technology company operating in digital credit and fraud prevention across multiple markets. The company fosters a data-driven, agile culture focused on continuous improvement and protecting clients.
Analyze large-scale on-chain data to identify anomalous transactions and develop robust detection mechanisms.
Use community discovery algorithms to identify associated malicious accounts and provide actionable intelligence.
Utilize supervised and unsupervised machine learning to detect irregular patterns across decentralized networks.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume. We are trusted by 300+ million people in 100+ countries and offer a range of products from trading and finance to education and Web3 features.
Develop deep expertise in fraud patterns across customer traffic.
Improve long-term quality of fraud detection across the product line.
Handle customer requests for fraud case analysis and reporting.
DataDome stops cyberfraud and bots in real time using a multi-layered AI engine. They employ a 24/7 SOC team and stop over 350 billion attacks annually, with a culture of diversity and inclusion.
Analyze internal and external data to identify emerging acquiring fraud risks and develop fraud scenarios.
Design, monitor, and challenge fraud controls, ensuring compliance with card scheme rules and risk appetite.
Collaborate with product, engineering, and ML teams to translate scenarios into rules and machine-learning features.
Finom is a European tech startup based in Amsterdam that builds an all-in-one financial platform for entrepreneurs, integrating banking, accounting, and invoicing. With $346 million in total funding and a team of over 300 employees, they foster a start-up culture of innovation, collaboration, and user-centric growth.
Monitor marketplace activity to detect suspicious behaviors and prevent fraudulent transactions.
Analyze data to identify fraud patterns, emerging risks, and new attack vectors.
Investigate escalated cases and recommend actions based on risk assessment.
Eneba is building an open, safe and sustainable marketplace for gamers, supporting close to 20 million active users. The team is international and fast-scaling, with a focus on trust, safety, and collaboration.
Build and deploy machine learning models to detect and respond to fraud across the platform.
Design experiments to measure the impact of fraud interventions, balancing customer experience and loss reduction.
Collaborate with fraud operations, engineers, and product managers to translate model outputs into real-world mitigations.
Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions in transactions monthly. They have a people-first culture focused on learning and inclusion, valuing diversity and employee well-being.
Lead project-scale investigations of complex fraud events including coordinated rings and systemic patterns, from initial signal through root-cause analysis and leadership-ready readouts.
Serve as the senior investigative authority, setting the bar for case quality and acting as the default escalation point for the team's hardest cases.
Drive fraud rule and process changes by translating investigative findings into measurable controls, and represent Risk Ops findings to cross-functional leadership.
Tilt is a mobile-first fintech company that uses machine learning-powered credit models to assess financial potential beyond traditional credit scores, serving millions of customers worldwide. With a virtual-first, globally distributed team across 14 countries, Tilt fosters a culture of excellence, impact, and mutual respect.
Monitor marketplace activity to identify suspicious behaviors and prevent fraudulent transactions.
Analyze data to detect fraud patterns, emerging risks, and potential attack methods.
Collaborate with product, data, and engineering teams to improve fraud detection and prevention systems.
Jobgether is a platform that uses AI-powered matching to connect candidates with jobs at partner companies. It operates in a fast-paced, scaling environment with a global user base.
Use SQL and other analytical tools to conduct in-depth analysis of customers, transactions, alerts, and risk ratings.
Develop, tune, and maintain transaction monitoring and sanctions screening models to improve detection and reduce false positives.
Partner with compliance, product, and data leaders to translate regulatory requirements into effective analytical frameworks.
Mercury is building a complete finance stack for startups, providing banking services through partner banks. As a fintech company, they focus on creating a safe and easy banking experience while protecting against bad actors, with a culture of high agency and adaptability.
Define and monitor key payment KPIs through automated reports and dashboards.
Analyze payment and user data to identify issues, trends, and opportunities for improvement.
Investigate payment performance, including failed transactions, decline reasons, and conversion patterns.
Zeely AI is an all-in-one AI marketing platform that helps small businesses and marketing teams grow faster through high-performing content and automation. The company has 200+ specialists, is US-focused, profitable, and backed by top international investors.
Investigate suspected fraud cases and determine appropriate outcomes based on evidence.
Analyze transaction patterns to identify fraud trends and emerging risks.
Support fund recovery efforts and collaborate with internal and external stakeholders.
Moniepoint Inc. is Africa's all-in-one financial platform, helping 20 million businesses and individuals. We are Nigeria's largest merchant acquirer, processing over $250 billion in digital payment transactions annually.
Support the Enterprise Fraud Risk Management Program by identifying, assessing, and mitigating fraud risks across the organization.
Conduct open-source intelligence (OSINT) analysis and collaborate with cybersecurity teams to detect and prevent fraud.
Prepare analytical reports, dashboards, and risk assessments to support executive decision-making and fraud prevention strategies.
SIXGEN delivers agile, mission-ready cybersecurity solutions for government and critical infrastructure organizations. They combine innovation and deep expertise to protect vital systems and ensure operational superiority.