<p>Ravelin prevents fraud and protects margins for online businesses around the globe. </p><p>We look at our clients' data more thoroughly than anyone else to provide the most accurate fraud scores.…
<p>Ravelin prevents fraud and protects margins for online businesses around the globe. </p><p>We look at our clients' data more thoroughly than anyone else to provide the most accurate fraud scores.…
Domain: AI-native fraud prevention for online merchants
Customers: Serves 340+ merchants
Funding: Raised through Series C; total disclosed ~$37.95M
Team size (approx.): ~150 employees
Company Overview
Problem Domain
Online payment fraud, abuse prevention (refund/promo abuse, account takeover) and payment acceptance optimization for ecommerce, marketplaces, travel, ticketing, gaming and retail.
Founded
2014
Industry
Fraud prevention / payments optimization
Funding Track Record
Series A
~£3.4M
Reported as Series A on company timeline
Series B- September 11, 2018
£8M
Announced to expand ML-based fraud detection for e-commerce
Series C- July 15, 2020
£16.4M (~$20M)
Series C announced July 2020; participation from existing investors
Investor Signal
“Draper Esprit led Series C; participation from Amadeus Capital Partners, BlackFin Tech, Passion Capital and other earlier investors”
Founders
What we do
Join the Team
Data Scientist
On-SiteLondon, GB
On-Site • London, GB
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Who you are
1 years' experience or training as a data analyst, intelligence analyst or data scientist
Strong critical thinking skills, intuitively curious and able to diagnose data issues
Strong communication and presentation skills
Diligence, attention to detail, ability to prioritise and follow through on tasks
Experience with SQL - ability to run complex queries to answer your own questions
Experience with Python for data analysis
Knowledge of supervised and unsupervised ML techniques
Desirable: some knowledge, understanding or experience of network analysis
Desirable: hands-on experience with DBT
What the job involves
Benefits
Remote first
Mental health support
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We are currently looking for a Junior level Data Scientist to join a fantastic team of client-facing data scientists and client support analysts
You will be working to discover patterns and trends concerning fraud in our clients' data
In this key role, you'll be applying exploratory analysis to form realistic and useful narratives from data, asking “why” as well as “what” and “how"
You will interact directly and indirectly with clients to help them understand what is happening with their fraud, and help us to target our efforts ever more precisely
Work directly with clients to provide fraud analytics and ML model insights
Analyse datasets with millions of rows to identify fraud patterns, trends and emerging threats to improve client performance
Discuss specific fraud problems with clients, in order to deeply understand how they manifest and to propose effective and elegant solutions
Prepare reports and present findings of analysis to clients when required
Identify new model features and improve model performance
Optimise the performance of our graph networks using network analysis
Get hands on experience with our cloud infrastructure and make the most of the available tools for enhancing our clients’ data and performance
Build internal tools in Python for optimising and improving our analytical capabilities
Charity "Gives Back" initiative
Volunteering opportunities
Flexible hours
Employer-contributed pension scheme
Equity scheme
Lunches twice a month (& the office kitchen is stocked with treats and goodies)
Home office budget
One day each quarter dedicated to learning and personal development
Individual yearly learning budget of £1000, and access to company wide training
Comprehensive medical cover through AXA or US equivalents, including dental and optical cash back
Remote fitness - virtual yoga twice a week, team HIIT sessions, and online Pilates class
