Trade Surveillance Tuning Expert

Job Title: Surveillance Tuning Expert

Department: Compliance Department

Reports To: Global Head of Surveillance

Location: Hybrid

Employment Type: Full-Time

About the Firm

We are a leading global financial services organization with a strong presence across major markets. Our Firm provides a full range of investment banking brokerage and asset management services. We are committed to maintaining the highest standards of integrity regulatory compliance and operational excellence.

Role Overview

The Surveillance Tuning Expert will play a key role in enhancing and optimizing the firms trade surveillance systems. The individual will be responsible for ensuring the accuracy efficiency and effectiveness of alert generation through systematic tuning calibration and model refinement. This position is ideal for a professional with deep technical expertise in surveillance platforms (e.g. Scila SMARTS or TT Score) strong analytical skills and a deep understanding of market abuse risks conduct monitoring and regulatory requirements.

Key Responsibilities

• Alert Optimization & Tuning
  • Evaluate existing surveillance models and alert parameters to identify opportunities for performance improvement.
  • Conduct systematic tuning exercises to reduce false positives and ensure optimal detection of true risk events.
  • Apply data-driven methodologies and quantitative analysis to assess rule thresholds data feeds and scenario logic.
• Model Performance Analysis
  • Develop metrics and dashboards to monitor surveillance model performance precision recall and false positive ratios.
  • Conduct back-testing sample reviews and trend analysis to validate rule effectiveness.
  • Collaborate with global compliance teams to support model enhancements or machine learning implementations.
• Data Quality & Governance
  • Partner with technology teams to identify and resolve data integrity issues impacting alert quality.
  • Review source systems and feeds to ensure complete and accurate capture of trading data.
• Stakeholder Collaboration
  • Work closely with global Compliance Officers teams to define model requirements and tuning objectives.
  • Document tuning methodologies assumptions and validation outcomes in accordance with regulatory and audit expectations.

Qualifications & Skills

Essential:

• Bachelors or Masters degree in Finance Data Science Statistics Computer Science or a related field.
• 5 years of experience in financial markets surveillance compliance analytics or risk monitoring.
• Proven expertise with surveillance platforms such as Scila Nasdaq SMARTS or TT Score.
• Strong SQL Python or data analysis skills for performance tuning and rule calibration.
• Deep understanding of market abuse scenarios insider trading detection and communications monitoring.
• Ability to interpret complex datasets and translate insights into actionable improvements.

Preferred:

• Experience with machine learning or AI-based surveillance enhancement.
• Prior experience at a global investment bank broker-dealer or regulatory authority.
• Knowledge of trade lifecycle order management systems and data lineage.