Senior Fraud Analyst
San Francisco, CA, United States
Full Time Senior-level / Expert USD 116K - 190K
Docusign
Create, commit to, and manage your agreements all in one platform with Docusign IAM. Electronically sign for free.Company Overview
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
What you'll do
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.
This position is an individual contributor role reporting to the Manager, Fraud Investigations.
Responsibility
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
Job Designation
Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
What you bring
Basic
- 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
Preferred
- 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
Wage Transparency
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Based on applicable legislation, the below details pay ranges in the following locations:
California: $122,300.00 - $190,650.00 base salary
Washington, New Jersey and New York (including NYC metro area): $116,500.00 - $168,200.00 base salary
This role is also eligible for the following:
- Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
- Stock: This role is eligible to receive Restricted Stock Units (RSUs).
Global benefits provide options for the following:
- 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
Life at DocuSign
Working here
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.
Accommodation
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
Applicant and Candidate Privacy Notice
States Not Eligible for Employment
This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
EEO Statement
It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
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Tags: Azure Computer Science Data analysis Data Mining Engineering Finance Jira Machine Learning Privacy Python Security Snowflake SQL Statistics
Perks/benefits: Career development Equity / stock options Flex vacation Health care Parental leave Salary bonus Startup environment Team events
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