Trade Surveillance Specialist - SQL-Driven Compliance

Trade Surveillance Specialist - SQL-Driven Compliance

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
G MASS

At a Glance

  • Tasks: Analyse trading data using SQL and Python to detect market abuse.
  • Company: Join a leading Hedge Fund with a focus on compliance and surveillance.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
  • Other info: Collaborative team atmosphere with a focus on innovation and automation.
  • Why this job: Make a real impact in financial compliance while working with cutting-edge technology.
  • Qualifications: Experience with SQL and Python, plus a keen eye for detail.

The predicted salary is between 63000 - 77000 Β£ per year.

G MASS Consulting, partnered with a leading Hedge Fund, seeks a Trade Surveillance professional to join its Compliance and Surveillance team in London.

The role blends BAU surveillance with data transformation initiatives to enhance detection, data quality, and automation.

You will leverage SQL and Python to analyze large trading datasets, investigate potential market abuse, and collaborate with technology teams to optimise data feeds and surveillance infrastructure.

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Trade Surveillance Specialist - SQL-Driven Compliance employer: G MASS

G MASS is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets finance. Employees benefit from a collaborative culture that encourages professional growth and development, alongside competitive remuneration and flexible working arrangements. With a focus on enhancing broker data handling capabilities, this role provides a unique opportunity to work with cutting-edge technology and contribute to impactful projects within a leading hedge fund.

G MASS

Contact Details:

G MASS Recruitment Team

We think you need these skills to ace Trade Surveillance Specialist - SQL-Driven Compliance

SQL
Python
Data Analysis
Trade Surveillance
Market Abuse Investigation
Data Transformation
Collaboration with Technology Teams