Follow company policies to determine if activities or transactions are non-compliant or potentially suspicious and take appropriate action.
Work investigation alerts in a fast-paced environment while maintaining high quality standards.
Collaborate cross-functionally with business partners to communicate complex regulations and stay updated on industry standards.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. The company is a remote-first organization with competitive benefits and a focus on people come first.
Design, develop, and optimize predictive risk models and decision frameworks across payment rails and cryptocurrency domains.
Partner with Product, Engineering, and Operations to embed model-driven risk decisioning throughout the customer journey.
Conduct deep-dive investigations into fraud events and payment losses, supporting model governance and regulatory review.
Binance.US is a licensed and regulated U.S. crypto platform providing secure access to over 190 cryptocurrencies with low fees. It is a remote-first team of innovators building the bridge between traditional finance and Web3, committed to financial freedom for all.
Develop credit and fraud strategies using data, machine learning models, and advanced analytics to optimize risk decisions.
Design A/B tests to balance risk and customer experience, and partner with Data Science, Product, and Engineering teams.
Analyze portfolio performance at a granular level, identify trends, and communicate findings to Risk Management.
Prosper is a fintech company that pioneered peer-to-peer lending in the US, offering personal loans and credit cards to help consumers achieve financial well-being. Since 2005, it has served over 2 million customers and fosters a culture of collaboration, curiosity, and accountability.
Analyze and assess risk by examining financial data, transaction patterns, and user behavior to identify fraud, credit, and compliance risks.
Develop and implement risk controls by partnering with product, engineering, and data science teams to build automated decisioning systems.
Contribute to strategic planning by providing insights on risk trends and policy improvements to support company growth.
Found builds tools to give self-employed people the security of big corporations through a business bank account that automates taxes and expense tracking. The company is a growing fintech startup with a diverse team, offering a collaborative culture focused on making a meaningful impact.
Investigate alerts and cases from transaction monitoring systems related to merchant acquiring activity.
Analyze merchant-level transaction data to identify anomalies and red flags.
Prepare and file SARs and CTRs in accordance with regulatory standards.
Pathward is a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all. They are a team of problem solvers who celebrate diversity and embrace a HUMBLE*HUNGRY*SMART approach.
Design and execute structured evaluation frameworks to assess the quality and fraud-signal value of incoming data assets from vendor partners.
Build lift analyses, backtests, and champion/challenger comparisons to quantify the incremental value of new data signals against our existing fraud detection stack.
Collaborate with fraud leadership to define evaluation criteria and translate vendor data findings into actionable recommendations such as adopt, pilot, or decline.
Sardine is the leading agentic risk platform for fighting financial crime, unifying data across risk teams to stop fraud in real time and prevent AI-driven attacks. They are a remote-first company with hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo, valuing performance and self-motivated individuals.
Analyze banking transactions and enhance fraud detection algorithms using graph-based analysis of financial data.
Build and integrate ML models, including classic, graph-based, and neural network approaches, into the Fraud Protection platform.
Document research findings and present them to stakeholders, contributing to broader graph-related tasks like GraphRAG components.
Group-IB is a leading cybersecurity technology creator dedicated to investigating, preventing, and fighting digital crime. With over 1,550 cybercrime investigations and 600+ enterprise customers globally, the company operates Digital Crime Resistance Centers across multiple regions, fostering a culture of mission-driven innovation and global collaboration.
Serve as the designated Money Laundering Reporting Officer (SMF17) for the UK entity, overseeing the financial crimes compliance program.
Lead the development of the Financial Crime Compliance Monitoring Programme and business-wide compliance risk assessment.
Partner with UK Compliance and global Financial Crimes leaders to maintain a clear and effective control environment across onboarding, transaction monitoring, and investigations.
Affirm is reinventing credit to make it more honest and friendly, offering buy now pay later without hidden fees or compounding interest. It is a remote-first company with competitive benefits including full health coverage and stipends.
Transform business questions into structured analysis and design compelling visual stories using BI tools.
Build low-latency data pipelines, streaming analytics, and automated queries for SaaS-embedded analytics.
Prepare curated datasets for ML training, support feature stores, and enable AI-driven dashboards.
Trustonic makes smartphones affordable by enabling device financing through secure locking technology. They partner with mobile carriers and retailers across 30+ countries, and prioritize diversity, inclusion, and flexible working.
Develop, validate, and optimize statistical and machine learning models including regression and XGBoost to detect and prevent fraud.
Design features, build tools, and deploy models in production environments to improve performance and stability.
Conduct model governance activities including validation, documentation, and ongoing monitoring with clear reporting.
Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across financial services, healthcare, automotive, and more. With 23,300 employees in 32 countries, the company is a FTSE 100 Index listed firm recognized for its people-first culture and advanced technology investments.
Design, implement, and maintain credit risk models and frameworks aligned with BACEN and IFRS 9 standards.
Monitor and manage retail credit exposures from origination to portfolio performance.
Develop and validate ML/AI-based models for PD, LGD, EAD, and behavioral scoring.
CloudWalk is building the future of payments, operating as a Type 3/Segment S3 financial institution in the payments and acquiring space. The company focuses on risk management and innovation, with a high-performing team that values data, automation, and AI.
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.
Monitor merchant processing activity to identify suspicious transactions and potential fraud.
Investigate alerts and review reports to mitigate company losses and ensure compliance.
Collaborate with cross-functional teams to design risk strategies and maintain SOPs.
Xplor provides cloud-based technology solutions for small and medium-sized businesses to manage payments and operations, processing over $47 billion annually for 130,000+ businesses in 72+ countries. The company is backed by investors Advent International, Battery Ventures, and Silver Lake, and fosters a culture guided by values of simplicity, purpose, community, and people-first.
Work directly with TelCo clients to uncover emerging fraud trends and co-build detection models using cross-industry data.
Translate ambiguous client questions into clear analytical plans and execute them independently from start to finish.
Build reusable tools, templates, and analytical frameworks to scale the fraud analytics consortium offering.
Experian is a global data and technology company that redefines lending, prevents fraud, simplifies healthcare, and creates digital marketing solutions across multiple industries. As a FTSE 100 company with 23,300 employees across 32 countries, they prioritize innovation, inclusion, and a people-first culture.
Conduct IP geolocation investigations using internal and external data sources, assessing circumvention risks and documenting findings per audit and compliance standards.
Escalate complex or high-risk cases with clear rationale and supporting analysis, maintaining high standards of quality and accuracy.
Collaborate with cross-functional stakeholders to support issue resolution, control enhancements, and governance initiatives.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries, offering an unmatched portfolio of digital-asset products and a diverse, results-driven culture.
Sources, compiles, and analyzes data from various systems to support compliance monitoring and reporting.
Develops and maintains dashboards and reports using tools like Power BI and Tableau.
Collaborates with IT and business teams to ensure data integrity and provide actionable insights.
Fulton Bank is a financial institution providing banking services and community support. They employ a large workforce and foster a culture of continuous learning, work-life integration, and inclusion.
Own data products end-to-end, delivering best-in-class outputs with a focus on accuracy, client value, and efficiency.
Tackle complex data problems using strong analytical judgment to refine methodologies and solve challenges with creative thinking.
Use AI and tooling to drive leverage, automating workflows while maintaining a high bar for correctness and quality.
YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points for investment funds and Fortune 500 companies. Recognized by Inc. as a Best Workplace for three consecutive years, the company operates globally with offices in the US, APAC, and India, emphasizing transparency, ownership, and continuous mastery.
Take ownership of complex FinCrime tasks, including Enhanced Due Diligence for high-risk businesses and multi-jurisdictional money muling investigations.
Write, review, and submit high-quality Suspicious Activity Reports to the National Crime Agency.
Coach investigators on financial crime typologies and best practices to drive a culture of excellence.
Monzo is a UK-based digital bank that offers personal and business banking services. The company has a strong focus on financial crime prevention, with thousands of employees and a culture that emphasizes innovation, customer protection, and collaboration.
Conduct investigations of high-risk or potential fraud activity, including platform abuse and suspicious financial movement patterns.
Use an investigative, data-driven approach to analyze cases and make fair, compliant, and risk-mitigated determinations.
Leverage tools such as Excel, Google Sheets, Snowflake, SQL, and Tableau to uncover fraud patterns and communicate findings to stakeholders.
Clair is a digital banking platform that gives America's workers instant access to their earned wages by embedding financial products into payroll and workforce management apps. The company is a fintech startup with a focus on financial freedom for hourly workers.