Market Surveillance Tech Lead — SQL & Python

ACA Group

Chattanooga (TN)

On-site

USD 90,000 - 110,000

Full time

14 days+

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Job summary

ACA Group in Chattanooga, Tennessee is seeking an Application Support Lead to oversee a team of analysts monitoring and enhancing surveillance data related to financial transactions. This role requires strong technical skills, including expertise in MS SQL and PySpark, while ensuring data integrity and driving client satisfaction.

The ideal candidate should have a solid understanding of financial markets and a proven ability to lead a team, manage complex data issues, and contribute to ongoing platform improvements.

Qualifications

  • Strong experience with MS SQL (querying, troubleshooting, performance tuning).
  • Experience using PySpark (Python) scripting.
  • Solid understanding of financial markets, including securities, trade lifecycles, and holdings data.
  • Proven ability to analyze and resolve complex data-related issues in a technical environment.
  • Demonstrated leadership or team coordination experience.

Responsibilities

  • Lead and mentor a team of Surveillance Data Analysts.
  • Oversee execution of daily operational tasks for issue resolution.
  • Act as a subject matter expert in surveillance data.
  • Troubleshoot complex data and system issues within MS SQL.
  • Ensure integrity, accuracy, and completeness of surveillance data.
  • Drive process improvements and automation initiatives.

Skills

MS SQL querying and troubleshooting
PySpark (Python) scripting
Financial markets understanding
Data analysis and problem-solving
Leadership experience
Communication skills

Tools

AWS
New Relic
Postman
Linux/Bash
Lambda

Job description

ACA Group in Chattanooga, Tennessee is seeking an Application Support Lead to oversee a team of analysts monitoring and enhancing surveillance data related to financial transactions. This role requires strong technical skills, including expertise in MS SQL and PySpark, while ensuring data integrity and driving client satisfaction.

The ideal candidate should have a solid understanding of financial markets and a proven ability to lead a team, manage complex data issues, and contribute to ongoing platform improvements.

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