Lead Data Scientist — Global Fraud Risk & ML Innovation

Wise; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global technology company is seeking a highly motivated Lead Data Scientist to join their Fraud Risk Team. You will maintain and improve fraud detection models, develop new features, and collaborate with cross-functional teams to mitigate risks associated with transactions. Strong Python knowledge and experience in deploying machine learning models are essential. This role offers an opportunity to contribute to a secure and innovative environment.

Qualifications

• Proven track record of deploying models from scratch, including data preprocessing, feature engineering, model selection, evaluation, and monitoring.
• Strong Python knowledge and ability to read through code, especially Java.
• Good communication skills and ability to convey information effectively to non-technical stakeholders.

Responsibilities

• Maintain and optimise existing risk models to ensure their accuracy and reliability.
• Lead the development and deployment of machine learning models and features.
• Conduct data analysis to identify trends and patterns that aid in risk mitigation.
• Work closely with the Fraud Risk Team to understand business processes and risk factors.
• Identify opportunities to reduce risks on good customers.
• Document development processes and prepare reports on model performance.

Skills

Python

Statistical analysis

Collaboration

Problem solving

Communication skills

Job description

A global technology company is seeking a highly motivated Lead Data Scientist to join their Fraud Risk Team. You will maintain and improve fraud detection models, develop new features, and collaborate with cross-functional teams to mitigate risks associated with transactions. Strong Python knowledge and experience in deploying machine learning models are essential. This role offers an opportunity to contribute to a secure and innovative environment.