Solution Data Scientist, DataVisor
Fraud & AML
+ Stock options
Office located in Mountain View, CA
ML-powered fraud detection
Job no longer available
ML-powered fraud detection
101-200 employees
Job no longer available
+ Stock options
Office located in Mountain View, CA
101-200 employees
Company mission
To deliver the world’s most sophisticated AI-powered solutions to keep companies and their customers safe from fraud and abuse.
Role
Who you are
- 4+ years of experience in Fraud and/or AML strategies or models
- 2+ years of experience in client-facing data analytic projects
- Domain knowledge in Fraud and AML use cases in financial services industry
- Proficient in SQL queries with complex joining and layered logics
- Familiarity with data streaming/processing e.g. REST API, Kafka, SFTP, Hadoop
- Familiarity with Python, R, and Java is a plus
- Proficient in LLM tools e.g. ChatGPT to research new business problems
- Excellent communication, presentation, and interpersonal skills
- Strong problem-solving mindset and results-driven mindset
- Strong mindset of documentation and automation with AI tools/agents
- Ability to work collaboratively in a face-paced, team environment and manage multiple projects simultaneously
- Bachelor’s degree in a technical or analytical discipline e.g. Data Science, Statistics, Computer Science
What the job involves
- The Solution Data Scientist (Fraud & AML) will be part of our Professional Service team, reporting to our Chief Solution Architect and VP Professional Services
- You will lead various types of technical projects e.g. fraud attack pattern study, risk strategy development, data pipeline and platform configuration, and machine learning model evaluation
- Such projects may span both pre-sales and post-sales engagements with DataVisor clients
- You will drive the internal engagement with Customer Success, ML Model, Product and Engineering teams to deliver fraud and AML solutions and custom platform configuration that bring business impacts to our clients and generate revenue for DataVisor
- You are a big believer and proficient user of GenAI tools e.g. ChatGPT to perform data analysis tasks 10x more efficiently than before
- Business Problem Discovery: Discover and understand the client’s business logic and business problems, e.g. risk decision flows, business pain points, fraud patterns, data availability and quality, and expected business outcome
- Data Integration and Quality Check: Lead technical discussions with clients’ risk business teams (Fraud and AML) and data team to ensure high quality and comprehensive data is provided. Own the data transfers and data quality validation
- Risk Pattern Analyses and Strategies: Leverage your strong domain expertise and business sense to conduct data analyses, pattern analyses, suggest and create detection strategies, and perform strategy testing and iterations
- Solution Design and Configurations: Design and configure various DataVisor solution components e.g. Rules Engine, Decision Flows, Case Management, Knowledge Graph, BI Dashboards to provide tailored results and strong business values to clients
- ML Model Performance Analysis: Work with ML Modeling team to develop, tune, and evaluate fraud detection models (unsupervised and supervised), and conduct performance metrics analysis to guide the threshold selection and decision adoption
- Project Management and Documentation: Manage the solution service projects with project management tools e.g. Monday.com, and own the creation and reporting of key internal and external-facing project documents as deliverables
- Presentation and Demonstration: Present the project results and demonstrate the configured solutions to key business stakeholders
Our take
As the use of online shopping and banking continues to rise, so too does the opportunity for fraud, with criminals exploiting the gaps in defences that come with an increasingly novel digital environment. DataVisor provides the leading fraud detection solution that leverages machine learning to identify threats, to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.
Traditional fraud solutions have not been designed to handle digital data, and they are especially ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify the patterns which allude to fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen. Another problem with some systems has been that, in the name of security, they might delay ultimately good customers from accessing services. With DataVisor 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 will fuel its continued expansion across the globe - and has an impressive list of customers. The company has also made several partnerships that will act towards strengthening its product offering. For example, it is extending its analytics and fraud detection through partnership with Equifax, by gaining access to its rich consumer identity data.
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)Extensive experience in security and AI. Previously a Senior Researcher at Microsoft Research.
Fang Yu
(CPO)Former Senior Researcher at Microsoft Research, with vast experience in big-data algorithms.
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