Risk Technology Data Analyst - Analytics, ML & Dashboards

Risk Technology Data Analyst - Analytics, ML & Dashboards

Full-Time 56700 - 69300 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Gather requirements and build data analysis processes for risk reporting dashboards.
  • Company: Join Cantor Fitzgerald, a leading firm in risk management technology.
  • Benefits: Competitive salary, professional development, and a dynamic work environment.
  • Other info: Opportunity to stay ahead of industry trends and grow your career.
  • Why this job: Make an impact in risk technology while collaborating with diverse teams.
  • Qualifications: Experience in data analysis and a passion for risk technology.

The predicted salary is between 56700 - 69300 Β£ per year.

Cantor Fitzgerald in London is seeking a Risk Technology Data Analyst to join the Risk Management Technology team.

You will gather requirements, build data analysis processes, and develop risk reporting dashboards across asset valuations and custom measures.

You will work with risk, trading, middle office and clearing teams, ensure data integrity, implement source control and deployment practices, and stay ahead with industry trends in risk technology.

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Risk Technology Data Analyst - Analytics, ML & Dashboards employer: Cantor Fitzgerald

As a Senior Quant AI Researcher at our company, you will join a dynamic and innovative team dedicated to pushing the boundaries of financial technology. We offer a collaborative work culture that values continuous learning and professional growth, alongside competitive benefits and a commitment to work-life balance. Located in a vibrant city known for its tech ecosystem, you'll have access to unique networking opportunities and resources that will enhance your career in AI and finance.

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Contact Details:

Cantor Fitzgerald Recruitment Team

We think you need these skills to ace Risk Technology Data Analyst - Analytics, ML & Dashboards

Communication Skills
SQL
Python
Problem-Solving Skills
Attention to Detail
Automation
Data Warehousing