Trading Risk & Client Engagement Analyst

Trading Risk & Client Engagement Analyst

Full-Time 50000 - 65000 £ / year (est.) No working from home possible
iSAM Securities

At a Glance

  • Tasks: Monitor risk and optimise client interactions in a dynamic trading environment.
  • Company: Join a market-leading fintech trading firm based in London.
  • Benefits: Competitive salary, professional development, and a vibrant work culture.
  • Other info: Opportunity to develop skills in Python, KDB+, and SQL while advancing your career.
  • Why this job: Engage with top liquidity providers and collaborate with diverse teams to drive innovation.
  • Qualifications: Strong analytical skills and experience in risk management or client engagement.

The predicted salary is between 50000 - 65000 £ per year.

i SAM Securities requires a risk-focused professional to monitor risk, optimize client interactions and support relationships across FX and CFDs.

You will engage with liquidity providers and collaborate with Sales, Risk, Quant and Development teams to advance strategic initiatives.

Join a market‑leading fintech trading firm with on‑site London operations, and contribute to maintaining top standards of service while developing across Python, KDB+ and SQL.

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Trading Risk & Client Engagement Analyst employer: iSAM Securities

iSAM is an exceptional employer for those seeking to thrive in the fast-paced world of quantitative trading. With a strong emphasis on collaboration and innovation, employees benefit from a dynamic work culture that fosters professional growth through hands-on experience with cutting-edge technology and complex financial strategies. Located in a vibrant financial hub, iSAM offers unique opportunities to engage with industry leaders while contributing to impactful projects that shape the future of algorithmic trading.

iSAM Securities

Contact Details:

iSAM Securities Recruitment Team

We think you need these skills to ace Trading Risk & Client Engagement Analyst

Risk Management
Client Engagement
Collaboration
Liquidity Management
Python
KDB+
SQL