Market Data Control Lead

Global Financial Firm located in MISSISSAUGA, ON has an immediate contract opportunity for an experienced Market Data Control Lead

Pay Rate Range: $ 85.00 - $ 92.00 Negotiable based upon years of experience

Responsibilities:

• Lead the end-to-end lifecycle of Data Controls for CDE’s, including assessing existing controls, defining new control requirements, partnering with Technology on design/build, executing testing, and transitioning controls to BAU with Data Managers and Control Owners.
• Serve as SME and central point of contact on Markets data controls across Markets products, systems & architecture across various Use Cases (Risk, Finance, Markets).
• Facilitate and monitor adherence to Data Quality dimensions, including completeness, accuracy, timeliness, and consistency.
• Engage with Business Data Managers and Data Consumers to deliver comprehensive data quality assessments, propose target control enhancements, and articulate the tangible business value derived from enhancements.

Requirements:

• 8 years of experience working within Markets Front Office, Middle Office, or Market Risk/Controls.
• Solid experience working with large data sets (trades, orders, risk, pnl, margin, settlements, cashflows/payments, or reference data).
• Strong SQL skills with the ability to read and write complex queries, leveraging queries for data analysis, anomaly detection, and validation of data quality and controls.
• Experience and passion for data quality and controls implementation.
• Ability to proactively identify gaps, issues, and opportunities for improvement without needing continuous direction.
• Comfortable managing multiple priorities and tasks in a contractor capacity with accountability for deliverables.

Preferred Skills:

• Experience with Python or other modern programming languages is preferred.
• Uses AIenabled tools to efficiently complete tasks, enhance analysis, and improve the quality and speed of deliverables.
• Undergraduate degree in a quantitative discipline such as computer science, mathematics, statistics, engineering, finance, or economics is preferred.