MyPage is a personalized page based on your interests.The page is customized to help you to find content that matters you the most.

I'm not curious

Data Scientist

Location New York, United States
Posted 21-August-2021
The Data Scientist works as part of the customer engagement team to support large banking customers in their deployment of fraud and identity solutions. This is a data science role with a customer facing component.

Roles and Responsibilities:

Design features from data generated in the ThreatMetrix Digital Identity network to build actionable rules.
Develop machine learning models (linear, non-linear, tree based etc.) to help customers optimize their fraud detection capabilities on their online banking platforms.
Conduct exploratory data analysis and data mining to uncover global cybercrime trends and proactively provide intelligence to clients.
Conduct graph analysis of fraud and organized criminal actors across ThreatMetrixs global network.
Support clients with model governance inquiries; provide technical documentation and model performance reports.
Own, maintain, and build scripts and modules for ThreatMetrix Professional Services to use for delivering key metrics to clients.
Collaborate with internal team on proof-of-concept analysis for new or beta product features.
Review suspicious activity and complex fraud cases to help identify new risks and mitigation steps.


Requires a bachelors or foreign equivalent degree in a quantitative field
2years of experience in developing, deploying, and monitoring of machine learning models
2year of experience in: Python, R (including data manipulation, modeling, and visualization libraries such as pandas, sklearn, numpy, matplotlib) and advanced SQL
Experience in building predictive models to classify fraud patterns such as account takeover, card not present, money laundering, social engineering etc.
Knowledge or research involving cybersecurity - browser-fingerprinting, public key infrastructure, computer networking, device authentication etc.
Experience in communicating complex analysis to executives and getting stakeholder buy-in
Experience in working with large customer-facing solutions and products in the financial services industry
Min 2 to 5 Years.

Awards & Accolades for MyTechLogy
Winner of
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
Hidden Image Url