Quantitative Developer: Fraud & Anomaly Models (Hybrid) in London

Quantitative Developer: Fraud & Anomaly Models (Hybrid) in London

London Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop models to detect fraud and manage stakeholder relationships.
  • Company: SwiftCruit, a leading firm in data science and trading.
  • Benefits: Competitive salary, healthcare, generous leave, and hybrid work options.
  • Other info: Exciting opportunities for growth in a collaborative environment.
  • Why this job: Join a dynamic team and make a real difference in fraud detection.
  • Qualifications: Expertise in data science and strong programming skills, preferably in Python.

The predicted salary is between 30000 - 40000 Β£ per year.

SwiftCruit is looking for a Quantitative Developer, Trading and Client Controls (TaCC) in London. This position requires expertise in data science and strong programming skills, preferably in Python. You will be responsible for developing models to identify fraud and managing stakeholder relationships.

The role offers a hybrid working environment, competitive salary, and a range of benefits including healthcare and generous leave policies.

Quantitative Developer: Fraud & Anomaly Models (Hybrid) in London employer: SwiftCruit

At SwiftCruit, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys a hybrid working environment, competitive salaries, and comprehensive benefits including healthcare and generous leave policies, all while having ample opportunities for professional growth in the exciting field of data science and fraud detection.

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Contact Details:

SwiftCruit Recruitment Team

We think you need these skills to ace Quantitative Developer: Fraud & Anomaly Models (Hybrid) in London

Data Science
Programming Skills
Python
Model Development
Fraud Detection
Stakeholder Management
Analytical Skills