Senior Data Scientist - Fraud - IC2
Senior Data Scientist - Fraud - IC2
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Job Description
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 crossfunctional teams including engineering product and security operations.
Key Responsibilities:
- 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 realtime detection and response to ATO threats.
- Stay informed about the latest advancements in data science machine learning and fraud prevention techniques to ensure stateoftheart capabilities in ATO.
- Mentor and guide junior data scientists fostering a culture of collaboration and continuous learning within the team.
A bit about you:
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 realtime data analysis.
Demonstrated ability to work collaboratively in crossfunctional teams and effectively communicate complex technical concepts to nontechnical stakeholders.
A proactive problemsolving 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 crossfunctional and crossteam environment;
Good communication skills and ability to get the point across to nontechnical individuals;
Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them.
Additional Information :
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what its like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
