Head of Fraud & Risk Data Science
Sardine$220,000 - $270,000/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Data & AnalyticsIndustries
Requirements
Candidates should have demonstrated experience delivering at least 3 full-lifecycle Java/JVM-based projects, each spanning 3-6 months in duration, experience with CI/CD pipelines, and knowledge of Distributed and Concurrent Systems. Hands-on experience with Kafka, Kafka Streams or Apache Flink, experience with OLAP databases or data-lakes with Kafka ingestion is a plus, and a strong product mindset with a passion for user experience is required. Experience working with relational and non-relational databases, query optimisations, and designing and evolving schemas is also necessary.
Responsibilities
The Senior Software Engineer will be responsible for developing and enhancing payment fraud detection systems using machine learning, real-time transaction monitoring, and data analysis, collaborating with fraud investigators and the product team to continuously improve systems and provide support. They will also monitor and interpret changes in regulations, conduct audits, deliver training, advise management on HR-related risk mitigation strategies, and foster a strong partnership between fraud prevention specialists and product teams, ensuring compliance with regulators and auditors while exceeding expectations. The role also involves autonomous work on customer problems, taking end-to-end ownership, driving projects to achieve goals, and communicating complex technical concepts to non-technical audiences.
Skills
Java
JVM
CI/CD
Kafka
Kafka Streams
Apache Flink
OLAP
Data-lakes
Relational databases
Non-relational databases
Query optimizations
Schema design
Machine learning
Data pipelines
Feature engineering
Recall
Precision
Wise
Facilitates low-cost international money transfers
About Wise
Wise focuses on international money transfers, providing a low-cost alternative to traditional banks. It uses a peer-to-peer system to match transfers between users in different countries, which helps reduce fees and offers better exchange rates. Customers pay a small, transparent fee for each transaction, and Wise also offers a multi-currency account for managing funds in various currencies. The company aims to maintain high performance and reliability while ensuring transparency and trust with its users.
London, United KingdomHeadquarters
2011Year Founded
$385.5MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
5,001-10,000Employees