Senior Data Scientist, DataVisor
Fraud Analytics and Strategy
$110-160k
+ Stock Options
Fraud & AML detection platform
Job no longer available
Fraud & AML detection platform
101-200 employees
Job no longer available
$110-160k
+ Stock Options
101-200 employees
Company mission
To build and restore trust online.
Role
Who you are
- B.A./B.S. degree required in a quantitative or related field (STEM, Economics, Finance); advanced degree or professional certifications (CAMS, CFE) preferred
- 3–5 years of hands-on experience in fraud strategy, fraud analytics, or risk management within Fintech, Tier-1 Banking, Payments, or large-scale Merchant environments
- Strong proficiency in SQL and Python with experience analyzing large, complex datasets
- Deep understanding of payment fraud (CP/CNP) and familiarity with AML, KYC, and regulatory frameworks
- Ability to think like an attacker and proactively design robust fraud defenses
- Experience collaborating cross-functionally with Data Science, Engineering, and Product teams
- Strong communication skills to clearly convey technical and analytical findings to both technical and non-technical stakeholders
What the job involves
- We are seeking a Senior Data Scientist to operate at the intersection of fraud domain expertise, analytics, and AI-driven product innovation
- This high-impact IC role is for a hands-on strategist who will own fraud typologies end-to-end, drive detection strategy, and influence the evolution of our AI-powered platform
- The ideal candidate is a tactical visionary who translates complex fraud patterns into scalable defenses and partners with Data Science, Engineering, and Product teams to shape the future of fraud prevention
- Lead the design, testing, deployment, and lifecycle management of fraud detection strategies across account origination, money movement, and card payment channels (CP/CNP)
- Conduct forensic analysis to identify emerging and “day-zero” fraud patterns, translating insights into actionable detection logic
- Collaborate with the internal Data Science teams to refine ML features and ensure detection models capture the most relevant signals
- Act as a key stakeholder for Engineering and Product teams, providing high-fidelity feedback on AI-driven tools and automation workflows
- Own governance standards for fraud rules and ensure compliance with regulatory frameworks (AML, KYC, BSA)
- Serve as a subject matter expert on external data sources and enrichment signals to enhance detection capabilities
- Mentor junior team members through project guidance and knowledge sharing
- Partner with Product, Engineering, and Commercial teams to ensure fraud strategy aligns with evolving client and market needs
Our take
As use of the internet rises, so too does the opportunity for fraud - with criminals exploiting the gaps that come with novel digital environments. DataVisor provides a fraud detection solution that leverages machine learning to identify threats. This helps to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.
Traditional fraud solutions were not designed to handle digital data, and are ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify patterns which suggest fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen.
Another problem has been that, in the name of security, systems might delay good customers from accessing services. With DataVisor, however, this becomes a non-issue, as the pattern of a non-malicious user can also be identified with speed.
DataVisor has seen considerable investment that has fuelled its continued expansion. It also boasts an impressive list of customers and partnerships. For example, a partnership with Equifax allowed it to extend it analytics and fraud detection capabilities. It has also launched the industry’s first unified, AI-powered SAR filing solution.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Dec 2022
$40m
LATE VC
Feb 2018
$40m
SERIES C
Total funding: $94.5m
Company benefits
- Stock Options
- Commuter Passes
- Paid Time Off
- Catered Lunch and Dinner
- Team and Company Outings
Company HQ
Mountain View, CA
Leadership
Yinglian Xie
(CEO & Co-founder)Extensive experience in security and AI. Previously a Senior Researcher at Microsoft Research.
Fang Yu
(CPO & Co-founder)Former Senior Researcher at Microsoft Research, with vast experience in big-data algorithms.
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