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Overlay Trading Automation Analyst

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Kestra Holdings
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Analyst
  • Finance & Banking
Job Description & How to Apply Below
Kestra Financial is a wealth management platform dedicated to empowering independent financial professionals-including traditional and hybrid RIAs-to grow their businesses and deliver exceptional client service. We combine advanced business management technology with personalized consulting to provide unmatched scale, efficiency, and support. Our advisor-focused culture is built on innovation and advocacy, enabling advisors to offer comprehensive securities and investment advisory solutions to their clients

Lead with Purpose. Partner with Impact.

As a member of the Overlay Trading Team at Kestra Financial, the Trading Automation Analyst will support the execution, scaling, and continuous improvement of trading and portfolio implementation workflows across UMAPlus, Kestra's premier advisory program. This role combines hands-on involvement in managed account trading operations with a strong emphasis on building practical automation, tooling, and reporting solutions that improve scale and operational consistency.

The ideal candidate is analytically sharp, technically capable, and operationally minded-someone comfortable using Python, SQL, Excel, and workflow tools to solve business problems while also developing a strong foundation in UMA trading, overlay strategies, and portfolio implementation. This role is well suited for someone who wants to sit at the intersection of trading, operations, data, and technology and grow into a high-impact contributor on a modern trading desk.

What You'll Do:
  • Support the execution and review of trades across client accounts using single-sleeve and multi-sleeve UMA models, in accordance with product guidelines and firm policies.
  • Build, maintain, and improve internal tools, automations, and reporting solutions that support trading, rebalancing, portfolio implementation, and operational workflows.
  • Use Python, SQL, Excel, and related tools to automate recurring processes, reconcile data, identify exceptions, and reduce manual effort.
  • Review portfolio data to identify outliers, discrepancies, and drift versus targets; escalate findings and recommend adjustments.
  • Monitor and support cash management, allocation tracking, exposure monitoring, and tax considerations (e.g., realized gains/losses) to improve efficiency and outcomes.
  • Partner with traders, analysts, and operations teams to understand workflow pain points and translate them into scalable process improvements.
  • Support the creation of dashboards, reports, and monitoring tools for portfolio drift, cash movements, account exceptions, trade status, and implementation activity.
  • Analyze portfolio and operational data to identify inconsistencies, inefficiencies, and opportunities for automation.
  • Assist in designing and documenting business processes, data flows, and operating procedures for trading-related workflows.
  • Help improve controls around data integrity, process consistency, and operational risk by introducing validation checks and exception handling.
  • Support current and legacy managed account programs through automation, workflow support, and process optimization initiatives.
  • Contribute to special projects related to trading technology, internal process redesign, and operational transformation.
What You Bring:
  • Bachelor's degree in Finance, Economics, Business, Information Systems, Data Analytics, or a related field required.
  • 1-3 years of experience in trading operations, investment operations, business analytics, financial technology, or a similar role preferred.
  • Candidates with stronger technical skills and less direct industry experience will also be considered.
  • Strong problem-solving ability with a practical mindset and excellent attention to detail.
  • Proficiency in Python for scripting, automation, data transformation, and internal tooling.
  • Proficiency in SQL for querying, validating, and analyzing operational and portfolio data.
  • Comfort working in a fast-paced, deadline-driven environment with multiple priorities and evolving business needs.
  • Ability to translate operational and business pain points into technical solutions.
  • Strong organizational skills and ability to document workflows clearly and thoroughly.
  • Strong…
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