Source Job

• Support development and optimization of fraud strategies across RealPage's payments ecosystem including onboarding and monitoring.
• Use SQL to independently query data, identify fraud patterns, and evaluate strategy performance and false positives.
• Collaborate with product, engineering, and operations teams to implement fraud controls and communicate findings to leadership.

RealPage is a leading provider of property management software and payment solutions. It employs thousands and fosters a data-driven, collaborative culture.

• Take full ownership of fraud detection and prevention for one of Eneba's products.
• Analyze large datasets using SQL to identify fraud patterns and design countermeasures.
• Collaborate with cross-functional teams to improve fraud and verification systems.

Eneba builds an open, safe and sustainable marketplace for gamers. We support close to 20 million active users and are growing fast with a culture of trust and innovation.

• Support intake, triage, investigation, and resolution of fraud-related escalations across the payments ecosystem.
• Perform technical investigations using SQL and payment data to validate root cause and document findings.
• Coordinate containment actions and cross-functional collaboration with operations, product, and compliance teams.

RealPage is a leading provider of property management software and payment solutions. The company employs thousands and emphasizes data-driven operations and risk management in its payments ecosystem.

• Identify and analyze fraud incidents and trends using internal and external data to pinpoint anomalies.
• Drive improvements in key risk indicators and enhance fraud detection controls.
• Serve as a 2nd Line challenger and collaborate with stakeholders to mitigate risks.

Finom is a European tech startup headquartered in Amsterdam that develops an all-in-one financial B2B platform integrating banking, accounting, and invoicing. The company has raised over $346 million in funding and nurtures an innovative, start-up culture.

• Develop and optimize fraud prevention strategies using advanced analytics and machine learning.
• Monitor fraud trends and client portfolios to identify emerging threats and recommend mitigation measures.
• Serve as a fraud risk expert, providing analytical findings and recommendations to stakeholders.

The partner company specializes in fraud prevention and risk analytics for financial institutions, operating in a fast-paced payments environment. They are a remote-first organization with a focus on collaboration and work-life balance.

• You identify systemic patterns in suspicious customer and merchant behavior and conduct investigations.
• You review and evaluate new merchant partners during onboarding to ensure proper licensing and alignment.
• You manage inbound fraud claims and perform ad hoc research into uncommon scenarios.

We offer flexible lease-to-own financing to non-prime consumers, helping them pay for big purchases over time. Our 200+ teammates enjoy inspiring and challenging work that accelerates their careers.

• Lead the Fraud Intelligence team analyzing large-scale data to detect and prevent fraud.
• Manage and mentor junior analysts, develop monitoring dashboards, and collaborate with cross-functional teams.
• Own fraud savings metrics and AI agent performance, driving continuous improvement.

Extend is revolutionizing the post-purchase experience for retailers with AI-driven solutions. The company partners with over 1,000 merchants and is backed by prominent investors, offering a collaborative and supportive environment.

• Resolve complex card holder inquiries regarding fraud concerns.
• Manage case inventory, incoming calls, and emails within SLA.
• Perform daily review and analysis of suspected fraud activity and complete comprehensive risk assessment.

We empower the people who run physical operations with tools to make their work safer, more productive, and more profitable. We serve nearly 100,000 customers across a wide range of industries and are a Forbes Cloud 100 company.

• Execute operational risk and fraud review workflows across financial products, including identity verification and account risk handling.
• Perform manual investigations into suspicious behavior, application fraud, and account misuse.
• Monitor fraud, KYC, and operational dashboards to identify trends and emerging threats.

Super.com is a fintech company that helps maximize lives by offering financial products and travel services. It is a fast-paced, high-growth tech company that values career progression and employee well-being.

• Conduct client discovery calls and analyze fraud strategies to mitigate risk.
• Design and execute data-driven analyses to quantify partner value and accelerate adoption.
• Deliver executive-ready presentations and influence decisions across Sales, Product, and Engineering.

SentiLink provides innovative identity and risk solutions for financial institutions. They are a fast-growing startup backed by top investors, with a digital-first culture and offices across the US and India.

• Partner with the Business Unit Lead to identify gaps in decisioning performance and implement solutions.
• Build production machine learning models to identify fraud in collaboration with other data scientists.
• Communicate complex ideas to a variety of audiences, from Customer Success to Sales.

Signifyd helps merchants confidently grow their businesses by building trusted relationships with customers. Their advanced technology creates frictionless shopping experiences, and they are trusted by thousands of merchants across over 100 countries.

• Define and implement DoorDash’s strategy in new areas and be responsible for delivering direct business impact.
• Analyze fraud vectors across DoorDash's platform to better identify bad actors and improve the experience of good users.
• Influence and engage across the company by partnering with product, engineering, and analytics teams to establish goals and build strategic programs.

DoorDash is a technology and logistics company that enables door-to-door delivery and aims to become a platform for any goods. The company is growing rapidly, offering team members opportunities to share unique perspectives, solve new challenges, and own their careers.

• Build, validate, and deploy machine learning models to identify and prevent fraud in real time.
• Support the reproducibility and robustness of models through documentation, testing, and monitoring.
• Ensure data quality and reliability across pipelines and tools.

Mercury is a fintech company that provides banking services for startups. They are an equal opportunity employer committed to diversity and inclusion.

• Investigate and close fraud cases across card fraud, application fraud, and travel marketplace disputes.
• Triage Early Fraud Warning alerts and manage card disputes and chargebacks through full lifecycle.
• Document cases to SAR filing standard and identify cross-case patterns.

Engine is the all-in-one travel and spend management platform trusted by 38K+ businesses and 1.8M+ travelers. The fastest-growing company in travel tech, Engine has been recognized as a top workplace for innovators and best places to work.

• Develop and maintain fraud detection models through the full model development lifecycle, from data acquisition to monitoring.
• Research new types of fraud and build products around identity verification using Python and AWS infrastructure.
• Write production-ready code and present analyses to inform data acquisition, product development, and marketing efforts.

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. Backed by world-class investors including Craft Ventures and Andreessen Horowitz, the company has grown rapidly, verifying hundreds of millions of identities and earning recognition from Forbes and CNBC.

• Lead and develop a team of Fraud Analysts, setting investigation standards and performance expectations.
• Establish fraud classification and labeling infrastructure and build investigation playbooks.
• Own fraud intelligence reporting and partner with cross-functional teams on detection controls.

Engine is the all-in-one travel and spend management platform trusted by 38K+ businesses and 1.8M+ travelers. They are recognized as one of Fast Company's Best Workplaces for Innovators and Built In's Best Places to Work, with a culture of exponential growth and high-caliber colleagues.

• Investigate and resolve fraud cases, communicating with other banks, law enforcement, and CIFAS to protect customers and prevent losses.
• Provide empathetic after-care to fraud victims, offering advice and securing accounts while making independent decisions on claims.
• Work proactively to prevent active fraud attempts by reviewing flagged transactions and collaborating with the team to block suspicious activity.

Monzo is a digital bank on a mission to make money work for everyone, offering a range of banking products from personal accounts to credit cards. With over 10 years in the UK, they have a growing team and a culture focused on innovation, customer service, and financial education.

• Own fraud detection models end-to-end, from data acquisition to production and monitoring.
• Research new fraud vectors and develop products for identity verification and financial risk.
• Write production code and present analyses to drive product, risk, and sales decisions.

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We are a rapidly growing fintech startup backed by world-class investors, with offices across the US and India.

• Detect and investigate potentially fraudulent accounts, analyzing transaction reports for anomalies.
• Process KYC profiles and conduct Enhanced Due Diligence (EDD) reviews for high-risk customers.
• Maintain accurate case records and communicate investigation outcomes to colleagues.

Our partner, a digital platform company, seeks a Risk Operations Specialist in Brazil. The company focuses on protecting users and transactions from fraudulent activity. This role is part of a fast-paced, fully remote team dedicated to accountability and continuous improvement.

• Own end-to-end analysis and build durable reporting infrastructure using Snowflake, dbt, and Hex.
• Translate ambiguous business questions into rigorous, well-documented analysis with expert SQL.
• Partner with teams to define metrics, investigate anomalies, and mentor other analysts.

PadSplit is a technology company addressing the affordable housing crisis through shared housing. It is a growing company with a collaborative culture and a focus on data-driven decision-making.