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this job offer closes 26 june 2026

job details

this job offer closes 26 june 2026

summary

  • hyderabad, telangana
  • A client of Randstad India
  • permanent

posted 23 march 2026

reference number
JPC - 117461

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job details

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 firm’s 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:

  • Bachelor’s or Master’s 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.

experience

12 ...

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 firm’s 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:

  • Bachelor’s or Master’s 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.

experience

12

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