Remote Identity Verification Jobs

Hiring a Transaction Monitoring Lead to enhance compliance capabilities

Optimizing TM rules and alert systems to reduce false positives

Strengthen risk management for Woo Payments and related products

Detect and prevent fraud in merchant and transaction domains

Deliver world-class digital experiences

Enhance data protection

Provide a Unified Streaming Data Platform

Enable efficient data processing and analysis

Combat online fraud using advanced AI

Deliver scalable SaaS fraud solutions

Optimize and improve CX operational frameworks

Facilitate cross-functional collaboration and data flow

Ensure AML compliance through transaction monitoring

Identify and investigate suspicious financial activity

Manage and resolve escalated documentation cases

Prevent fraud and ensure platform safety

Resolve escalated document and fraud cases

Ensure platform trust and compliance

Manage and resolve escalated documentation cases.

Prevent fraud and ensure safety on the platform.

Execute anti-fraud initiatives within the SIU Coding Auditor program

Support audit strategy and meet quality targets

Identify, investigate, and mitigate fraudulent activity

Implement logic targeting bad actors and high-risk behavior

Own underwriting and verification product domain

Define roadmap for decision engines and automation

Lead and grow engineering team

Build tooling with AI integration

Own the product vision and strategy for risk evaluation workflows

Drive automation to reduce manual reviews

Define North American Risk Operations Strategy.

Translate strategy into actionable OKRs and roadmaps.

Own the DocV forensic engine roadmap.

Scale DocV adoption across multiple sectors.

Manage affiliate marketing offers independently.

Ensure high traffic quality and monitor fraud.

Drive adoption of Sift solutions.

Engage prospects to understand fraud challenges.

Lead product strategy for fraud solutions.

Develop real-time fraud detection platform.

Build and lead the Authentication Risk team.

Own authentication performance and monitor metrics.

Design and build fraud detection systems.

Collaborate with various teams to combat fraud.

Define and execute a product strategy aligned with growth.

Lead teams with a compelling product vision.

Implement credit and fraud policies.

Develop underwriting strategies for personal loans.

Develop algorithms for fraud detection.

Analyze user behavior for suspicious patterns.

Develop and manage fraud prevention products.

Collaborate with teams to enhance fraud detection.

Lead a team of Fraud Detection Analysts.

Provide feedback on error handling.

Lead development of fraud prediction models.

Build and scale feature pipelines and training datasets.

Lead development of fraud prediction models.

Build and scale feature pipelines.

Manage implementation and integration efforts for fraud and compliance products.

Provide onboarding support to clients.

Set modeling strategy for fraud detection.

Lead ML engineering team.

Drive revenue growth in financial services accounts.

Sell AI solutions for underwriting, fraud, KYC, and claims.

Design and maintain data pipelines for fraud detection.

Develop agentic AI systems for data automation.

Lead the fraud analytics strategy.

Develop and implement fraud prevention measures.

Own the Pay platform roadmap.

Manage Trust & Safety initiatives.

Own the strategy for Identity Risk Solutions.

Conduct market analysis for opportunities.

Lead and manage the Smart Signals team.

Oversee performance management and hiring processes.

Mitigate fraud and credit losses.

Review and analyze high-risk transactions.

As the Manager of Merchant Risk Operations, you'll oversee high-volume risk execution for complex merchants, utilizing your expertise in SQL to analyze chargeback trends and develop real-time dashboards. You'll partner with commercial teams to communicate risk trade-offs and collaborate with engineering to automate onboarding processes. This role is perfect for someone with a strong background in Merchant Risk or Fraud within the fintech sector, looking for an exciting opportunity in a dynamic, high-growth startup environment.

Analyze chargeback trends using SQL.

This fully remote Deposit Specialist role offers an exciting opportunity to work in the banking sector, focusing on customer service and transaction accuracy. You will engage in fraud detection, account maintenance, and data analysis while collaborating with various teams. With a supportive remote-friendly culture and comprehensive benefits, this position is ideal for those looking to grow their careers in financial services.

Review deposit activity for fraud and compliance.

Join our team as a Staff Software Engineer in Trust & Safety, where you will leverage your expertise in security engineering to design and implement effective guardrails against AI abuse. You'll build innovative detection systems to combat phishing, fraud, and more, while automating responses to enhance our platform's security. This is an exciting opportunity to drive impactful change in a fast-paced technology environment, collaborating with cross-functional teams to safeguard user interactions and uphold platform integrity.

Build automated AI detection systems.

Join our team as a Financial Crimes Associate, where you will be pivotal in managing real-time alerts to combat fraud and ensure compliance with AML regulations. This role offers the opportunity to assess fraud risks, review onboarding applications, and focus on fraud detection across lending and banking products. With a strong emphasis on balancing customer experience with fraud prevention, this position is ideal for those with a passion for compliance and fraud mitigation in a dynamic environment.

Assess fraud risk from escalations.

This Lead Data Scientist position offers an exciting opportunity to shape the future of fraud detection in a remote-first environment. You will lead and develop a team of data scientists, working directly with enterprise customers to deliver impactful POC/POV solutions. With a focus on hands-on machine learning model development and performance tracking, you will play a crucial role in translating complex client problems into effective data-driven strategies. Join us to make a significant impact in the fintech space while enjoying flexible work arrangements and comprehensive benefits.

Deliver POC/POV solutions for clients.

Join our team as a Staff Software Engineer focused on backend development for the Risk Platform, where you'll play a critical role in real-time fraud detection and risk decision-making. This position allows you to define strategic improvements, lead the design of resilient systems, and collaborate with diverse teams including Data Science and Machine Learning. If you're passionate about building scalable solutions and mentoring fellow engineers, this is an exciting opportunity to elevate your career in a remote-first environment.

Define multi-quarter strategies for system complexity and reliability.

Join our team as a Professional Services Consultant, where you'll lead the implementation of tailored fraud prevention solutions for our clients. This remote role offers the opportunity to collaborate with various teams and stakeholders to ensure projects are delivered on time and within budget. With a focus on customizing our cutting-edge fraud prevention technology, you'll play a vital role in developing training materials and presenting strategies to key stakeholders. If you have a background in consulting and a passion for fraud detection, this is an exciting opportunity to advance your career.

Mitigate risks to ensure timely delivery.

Join a dynamic team as a Payment Operations Analyst, where you'll play a pivotal role in managing disputes and identifying transaction fraud. This position offers the chance to collaborate with various teams while enhancing automation processes. Your expertise will contribute to improving workflows and ensuring compliance with legal standards. With a hybrid work model and opportunities for remote work, this role is perfect for individuals eager to thrive in a fast-paced environment and take their career to the next level.

Identify transaction fraud and manage chargebacks.

This role offers a unique opportunity to lead advanced analytics initiatives within the Fraud and Safety Operations team. You will be instrumental in developing self-service data tools, crafting insightful dashboards, and ensuring that key metrics are effectively governed. With a focus on scalable solutions and rigorous data support, this position is ideal for those passionate about leveraging data to drive impactful decisions in a technology-driven environment.

Craft dashboards for executive insights.

We are seeking a skilled Machine Learning Engineer to join our team, focused on building and optimizing data pipelines and backend services for real-time fraud detection. This role offers the chance to work with large datasets and collaborate closely with engineers to integrate ML models into production. You will be part of a remote-first culture, enjoying flexible paid time off and comprehensive health coverage. If you're passionate about leveraging technology for impactful solutions, this is the opportunity for you.

Develop and deploy ML models for fraud detection.

Join us as a Quantitative Analytics Lead, where you will validate machine learning models essential for credit underwriting, risk assessment, and fraud detection. This role involves identifying model weaknesses and collaborating with stakeholders to enhance model performance. You will also implement the Model Risk Management framework and work alongside Internal Audit on compliance matters. This is an exciting opportunity to make a significant impact in the finance industry by leveraging your expertise in machine learning and data science.

Identify weaknesses and opportunities for model improvement.

The Quantitative Analytics Lead role offers a unique opportunity to validate and enhance machine learning models in the finance sector, focusing on credit underwriting, risk, and fraud detection. The successful candidate will work closely with cross-functional teams and model owners to ensure robust model performance and compliance with regulatory standards. This position is ideal for individuals with a strong background in data science and machine learning, eager to make a significant impact in a dynamic and challenging environment.

Monitor model performance and identify weaknesses.