Senior Data Scientist, Wise
Fraud
£65-85k
+ Restricted Stock Unit's
1-5 days a week in office (Shoreditch, London)
Money without borders
Posted today
Money without borders
1001+ employees
Posted today
£65-85k
+ Restricted Stock Unit's
1-5 days a week in office (Shoreditch, London)
1001+ employees
Company mission
We’re on a mission. And it’s money without borders. Instant, convenient, transparent and — eventually — free.
Role
Who you are
- Proven experience in a data science role with a focus on fraud detection, cybersecurity, or fin tech related domains
- Have build machine learning models for account takeover (ATO)
- Strong proficiency in machine learning frameworks and programming languages such as Python, R, or similar
- Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL)
- Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysis
- Demonstrated ability to work collaboratively in cross-functional teams and effectively communicate complex technical concepts to non-technical stakeholders
- A proactive, problem-solving mindset with a passion for protecting users from fraudulent activities
- You have a solid knowledge of Python, and are able to make and justify design decisions in your code. You know how to use Git to collaborate with others (e.g. opening Pull Requests on GitHub) and are able to review code. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services
- You have experience with mining into event logs to identify patterns and associations
- You are familiar with a range of model types, and know when and why to use gradient boosting, neural networks, regression, autoencoders, clustering or a blend of these
- Experience with statistical analysis and good presentation skills to drive insight into action
- A strong product mindset with the ability to work independently in a cross-functional and cross-team environment
- Good communication skills and ability to get the point across to non-technical individuals
- Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them
What the job involves
- Our dedicated Trust and Safety team plays a crucial role in protecting our users and maintaining the trust they place in us. We are seeking a talented Senior Data Scientist to lead data-driven initiatives within the ATO domain and develop cutting-edge intelligence solutions
- As a Senior Data Scientist on the Account Takeover team, you will leverage your expertise in data science to innovate and deploy models that detect and prevent fraudulent activities
- Your work will directly influence our ability to safeguard our platform against unauthorized access and enhance our overall security framework
- You will collaborate closely with cross-functional teams, including engineering, product, and security operations
- Lead the development and deployment of advanced machine learning models to detect, predict, and mitigate account takeover attempts
- Analyze large volumes of data to identify trends, patterns, and anomalies associated with potential ATO threats
- Design and implement experiments to evaluate the effectiveness of fraud detection systems and continuously improve their performance
- Collaborate with security analysts and engineers to translate business and security requirements into actionable data insights and solutions
- Develop robust data pipelines, algorithms, and tools to support real-time detection and response to ATO threats
- Stay informed about the latest advancements in data science, machine learning, and fraud prevention techniques to ensure state-of-the-art capabilities in ATO
- Mentor and guide junior data scientists, fostering a culture of collaboration and continuous learning within the team
Salary benchmarks
Our take
Wise started when the two founders realised they would be better off trading Estonian kroons for British pounds (and vice versa) between themselves rather than going through banks. That was back in 2011, and they've since grown Wise into one of Europe's most successful tech businesses, exchanging billions of currency every month.
Wise rapidly grew by solving a significant problem for customers, who lost too much money to banks when exchanging currency. They've attracted investment from some of the best investors in the world, from Andreesen Horowitz to Index Ventures and even Richard Branson.
The challenge for Wise will be maintaining their edge and brand power in a market that's becoming increasingly crowded with new entrants (like Revolut and Monzo) and incumbents (traditional banks) trying to catch up. To do so, the company is ramping up its digital and marketing strategies, as well as pushing for further development of its existing products.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
38% employee growth in 12 months
Company
Employee endorsements
Flexible working
"I'm trusted to do my work regardless of whether I'm in the office or working from my spare room. Our mobile wiser scheme gives us the opportunity to..."
Funding (last 2 of 7 rounds)
Nov 2017
$280m
SERIES E
May 2016
$24.6m
SERIES D
Total funding: $395m
Company benefits
- Medical Insurance
- Health and Wellbeing Discounts
- 25 days holiday (excl. bank holidays) + 3 Me Days
- RSUs (Restricted Stock Units)
- 6 Week Paid Sabbatical
- Mobile Wiser - work remote for up to 90 days a year 🛫
- Parental Leave
- Pension and Retirement Plans
- Plus Many More!
Company values
- This isn’t just a job, we’re a revolution
- We get it done
- Customers > team > ego
- No drama. Good karma.
Company HQ
London, UK
Articles
Leadership
Taavet Hinrikus
(Chairman)Previously Director of Strategy for Skype.
Kristo Käärmann
(CEO)Previously a Consultant at PwC and Manager at Deloitte.
People progressing
Joined as Banking Lead, promoted to Head of Banking after 2 years, then again to Global Head of Banking.
Diversity, Equity & Inclusion at Wise
- Communities and safe spaces (Employee Resource Groups) – led by our Wisers so people can share experiences and information, support each other and connect on shared values
- Wise Cultural Calendar – a programme to learn and celebrate the wide range of cultures, traditions, backgrounds, and global experiences we have here at Wise. Example programmes include Pride Summer and Black History Month
- Our teams continue to set and drive their own bespoke objectives, holding themselves accountable and making sure they focus efforts where they can have the most impact
- We’re excited to partner with InChorus to collect ongoing data on our culture and enable teams to track their progress
- DEI development and training — We’re building our capability and getting everyone on the same page about DEI. Our new training programme will help new joiners and all Wisers know what DEI looks like day-to-day and how they can play their part
- Global policy review — We’re working with an external advisor to provide detailed feedback on best practices in policies by end January
- Disability inclusion – We’re building resources and support for Wisers and candidates with disabilities. Our goals is to offer practical information and support to ensure that Wise remains an inclusive environment for those impacted by a disability
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