Fraud & AML Analytics Strategist, DataVisor
$80-130k
+ Stock Options
Fraud & AML detection platform
Open for applications
Fraud & AML detection platform
101-200 employees
Open for applications
$80-130k
+ Stock Options
101-200 employees
Company mission
To build and restore trust online.
Role
Who you are
- If you thrive on curiosity, creativity, and staying a step ahead of fraudsters, this role is for you
- You’ll thrive here if you enjoy asking “what if?” — what if attackers shift their tactics, what if a new payment method introduces risk, what if a simpler workflow could reduce friction without losing protection
- 2+ years in fraud or AML strategy, risk management, or analytics within financial services/fintech/merchants
- Knowledge of payment fraud schemes, money laundering typologies, and suspicious activity monitoring is a plus but not required
- Experience with rule engines, case management, AML monitoring systems, and workflow design is a plus but not required
- Proficiency in SQL, Python, analytics, and dashboarding tools
- Creative, proactive problem solver who thrives in anticipating new risks
- Bachelor’s degree in STEM, MBA and Economics field required
What the job involves
- You’ll bring together a deep understanding of fraud and AML patterns to craft new rules, the curiosity to test emerging data signals, and the discipline to design workflows that both protect customers and keep their experience seamlessly
- Your work will directly shape how we protect our customers across money movement, account origination, and card transactions, and you’ll have the freedom to experiment, iterate, and turn insights into impactful strategies
- Proactively design, test, implement, and optimize rules for fraud and AML detection across origination, money movement, card, and suspicious activity monitoring
- Manage rule libraries, ensuring governance, monitoring, and compliance alignment
- Run experiments and pilot new approaches to detect emerging fraud and AML typologies
- Collaborate with Data Science to translate fraud patterns and AML scenarios into model features
- Partner with Fraud & AML Operations for case feedback and validation of coverage
- Define and manage fraud/AML workflows (queues, alerts, escalation paths)
- Evaluate external fraud and AML data providers for enrichment opportunities
- Provide fraud and AML insights, typology analysis, and strategy recommendations to leadership
- Partner with Product, Engineering, and Commercial teams to embed proactive fraud and AML strategies into the platform and client dashboards
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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