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Senior Quantitative Risk Analyst at Signifyd
San Jose, CA, US
At Signifyd we’re creating a new market. We’re constantly improving and expanding the technology that has changed what fraud protection for e-commerce looks like. So we don’t have time for office politics. We understand that different people have different work styles and we thrive on variety while learning from each other. We’re all Signifyers, so we know that what needs to get done will get done.
 
Signifyd is a place where no one is going to tell you how to do your job. If you want help, you'll get it — from all quarters. But we pretty much figure out what needs to be done, who's in the best position to do it and then let that person roll-up her or his sleeves and have at it. We're protecting retailers from online fraud in a way that's never been done before and we could use your help if you're someone:
 
- Who believes challenges are best overcome by thinking differently.
- Who knows his or her role, but isn’t confined by it.
- Who’s greatest satisfaction comes from helping customers succeed and achieve their dreams.
- Who isn’t afraid to disagree, convincingly, civilly and honestly.
- Who will stop and hold the door for a colleague, even if you’re running late.
 
Oh, and a few particulars for this role:
 
The Merchant Risk Analytics team is fast-paced, high-energy, and diligent in identifying emerging fraud patterns and preventing fraud loss before it happens. We conduct stringent analysis of complex data sets, and set up multiple layers of business rules, models, and other processes to fight e-commerce fraud. We are a highly cross-functional team and regularly engage with Data Science, Customer Success, Risk Operations and Engineering to mitigate and eliminate fraud and meet merchant service-level objectives.
 
We’re looking for a rock-solid risk analyst to join a fast-paced start-up and hit the ground running. This person will work alongside a team of analysts to investigate and identify solutions to prevent and mitigate fraud. This person will be responsible for proactively identifying fraud patterns and minimizing our customers’  exposure to financial risk.
 
About You:
You are quantitatively driven, detail oriented, and operations-savvy while ensuring the best possible customer experience. You possess a high level of subject matter expertise and are experienced in utilizing information generated from fraud patterns, data analytics and business knowledge to identify insights and formulate a response plan. You want to help merchants feel a deep sense of security, knowing Signifyd has them covered, so they can focus on growing their business.
 
Responsibilities
Manage merchant risk from end to end, understanding merchant needs for positive customer experience, quick decisioning, and fraud prevention
Develop in-depth analyses and build automated and scalable reporting tools (dashboards, reporting packs, etc.) to regularly assess the performance of the business, tell the story behind the numbers, and provide actionable insights to leadership.
Work closely with Customer Success and Risk Operations to resolve customer-related fraud issues and provide the best possible customer experience in a timely manner
Work with Data Science and Engineering teams to conceive, design & monitor fraud risk strategies in order to mitigate fraud risk in the most precise manner possible
Analyze effectiveness of existing fraud strategies and oversee the design, development, and management of new real-time fraud rules and mitigation efforts
Communicate and report overall status, primary metrics, fraud issues, proposed solutions and plan timelines to senior management
 
Experience & Skills
Minimum of 4+ years of relevant experience, working in fraud in a payments, credit or e-commerce space
B.S. in economics, applied math, statistics or other quantitative field
M.S. preferred
Expertise in SQL and data querying
Knowledge of Python or R
Ability to operate and execute projects independently with minimal oversight
Outstanding written and presentation skills.
Experience presenting technical content to audiences
Demonstrated problem solving and critical thinking,  providing data-driven business insights and recommendations
 
Preferred Qualifications
Adaptable, resilient, and able to thrive in ambiguity - things change quickly in our fast-paced startup and you’ll need to be able to keep up!
Desire for impact - ready to take on a lot of responsibility and work collaboratively with your team
Positive attitude and willingness to roll up sleeves and dig deep to achieve goals
Ability to execute on programs and projects independently and flexibly with minimal resources
Proven ability to manage multiple, competing priorities simultaneously
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