Surveillance Tuning Expert

8 - 10 years

35 - 40 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


Job Title:

Department:

Employment Type:

About the Firm

investment banking, brokerage, and asset management services

Role Overview

Surveillance Tuning Expert

surveillance platforms

Key Responsibilities

Alert Optimization & Tuning

  • Assess and fine-tune existing surveillance models and alert parameters to enhance performance and accuracy.
  • Conduct systematic tuning to minimize false positives and improve true event detection.
  • Utilize data-driven methodologies and quantitative techniques to evaluate thresholds, logic, and data feeds.

Model Performance Analysis

  • Develop metrics, dashboards, and KPIs to measure model precision, recall, and false positive ratios.
  • Perform back-testing, sampling, and trend analysis to validate model effectiveness.
  • Collaborate with global compliance teams to implement model enhancements and data-driven improvements.

Data Quality & Governance

  • Partner with technology teams to identify and resolve data integrity issues impacting surveillance output.
  • Ensure completeness and accuracy of trading and communication data from source systems.

Stakeholder Collaboration

  • Work closely with Compliance Officers and global stakeholders to define model requirements and tuning objectives.
  • Document methodologies, assumptions, and validation results to meet regulatory and audit standards.

Qualifications & Skills

Essential:

  • Bachelors or Masters degree in Finance, Data Science, Statistics, Computer Science, or related discipline.
  • Minimum

    5 years of experience

    in trade surveillance, compliance analytics, or risk monitoring.
  • Proven expertise with platforms such as

    Scila, Nasdaq SMARTS, or TT Score

    .
  • Strong proficiency in

    SQL, Python

    , or other analytical tools for performance tuning.
  • Solid understanding of

    market abuse, insider trading, and conduct risk scenarios

    .
  • Ability to interpret complex datasets and translate findings into actionable outcomes.

Preferred:

  • Experience applying

    machine learning or AI techniques

    to surveillance enhancement.
  • Prior experience in a

    global investment bank, broker-dealer, or regulatory environment

    .
  • Understanding of

    trade lifecycle

    ,

    order management systems

    , and

    data lineage

    .

Core Competencies

  • Strong analytical and investigative mindset.
  • Excellent communication and stakeholder management skills.
  • High attention to detail with a structured approach to validation and documentation.
  • Flexibility to adapt to evolving regulatory and operational landscapes.
  • Strong integrity and discretion in handling confidential information.

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