Senior Fraud Analyst

DocuSign • San Francisco, CA

289d • $122,300 - $190,650 • Remote

About The Position

As a Senior Fraud Analyst for Fraud Investigations, you will be a key member in the identification, analysis, and mitigation of fraudulent activities on our platform. Leveraging your extensive experience in fraud detection and strong analytical skills, you will review evidence, analyze data, and provide critical insights to support fraud investigations. You will partner with a wide range of functional groups, including Service Protection, Product Led Growth, Customer Support, Customer Success, Media, and Legal teams, to ensure the security and integrity of our platform. You are a highly motivated individual with strong emotional intelligence, capable of driving cross-functional projects and successfully collaborating with both technical and non-technical teams. You will stay current on best practices and industry standards to maintain the highest level of performance in your role.

Requirements

• Bachelor's degree in a related field such as Criminal Justice, Finance, Computer Science, and 8+ years equivalent work experience
• Experience in fraud detection, investigation, and prevention, preferably in a tech or financial services environment
• Experience with data mining techniques to extract useful information from large datasets
• Experience using fraud detection tools and software
• Ability to work independently and manage multiple tasks simultaneously
• Knowledge of relevant laws and regulations related to fraud and cybersecurity
• Ability to meticulously review data and documentation

Nice To Haves

• Strong attention to detail to accurately identify and assess potential fraud cases
• Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams
• High level of integrity and ethical standards
• Strong analytical and problem-solving skills with the ability to interpret complex data sets, make informed decisions and develop effective fraud detection strategies
• Experience with SQL, KQL, Python, Azure, Snowflake or other data analysis tools
• Experience with JIRA for project management and issue tracking
• Expertise in developing and implementing risk scoring models to prioritize cases for investigation
• Familiarity with risk assessment frameworks and methodologies
• Familiarity with machine learning and artificial intelligence techniques for fraud detection and to develop predictive models
• Certification in fraud examination (e.g., CFE) or related field
• Proven leadership experience in a fraud analysis or related role

Responsibilities

• Analyze large datasets to identify patterns, trends, and anomalies
• Interpret complex data and translate findings into actionable insights
• Use statistical methods and tools to evaluate data and calculate fraud rates
• Monitor and analyze platform transactions and user activities to detect and prevent fraudulent activities
• Develop and implement advanced fraud detection strategies and tools to identify suspicious behavior
• Conduct and oversee thorough investigations of suspected fraud cases, including gathering and analyzing evidence, documenting findings, and recommending corrective actions
• Collaborate with internal teams, including customer support, engineering, and legal, to address and resolve fraud-related issues
• Stay up-to-date with the latest fraud trends, techniques, and regulatory requirements to ensure the effectiveness of fraud prevention measures
• Prepare and present detailed reports on fraud incidents, trends, and mitigation efforts to senior management
• Assist in the development and maintenance of fraud detection systems and processes
• Provide training and mentorship to other team members on fraud detection and prevention best practices
• Lead cross-functional projects aimed at enhancing fraud detection and prevention capabilities
• Work outside of core hours occasionally required

Benefits

• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Bachelor's degree