Market Risk Data Analyst

Insight Global; Toronto; Hybrid; CAD 70,000 - 100,000; Full time

Job summary

Insight Global is seeking a Data Analyst to join a top bank's Market Risk team in downtown Toronto on a hybrid contract. You will support BAU work, build data quality checks, reconcile data across platforms, and help resolve daily data issues, communicating with stakeholders across technology and business teams.

The role provides exposure to trading products and risk data flows, requiring analytical, detail-oriented work and the ability to translate business needs into reliable data solutions

Qualifications

• 1+ year of relevant experience in data analysis.
• Strong proficiency in SQL and Python, with large datasets.
• Experience in data validation, reconciliation or control frameworks.
• Knowledge of derivatives, Market Risk, and Capital Markets
• Excellent problem-solving and independent work ability.

Responsibilities

• Maintain and enhance risk data quality controls across datasets.
• Build and support data pipelines for ingestion, validation, and transformation.
• Investigate data anomalies by reconciling source systems with risk outputs.
• Collaborate with technology and risk stakeholders to align data usage.
• Develop and automate data validation scripts and exception reporting.

Skills

Independent worker

Communication skills

Collaboration skills

Problem-solver

Analytical mindset

Education

University degree in finance or related field

Tools

SQL

Python

PowerBI

Tableau

Job description

Job Description

Insight Global is looking for a Data Analyst to join a top bank's Market Risk team, part of the Enterprise Risk & Portfolio Management, for a hybrid contract role in downtown Toronto. The Data Analyst will support business-as-usual work, building and maintaining data quality control checks, reconciling data across different platforms, and helping with data issues in daily production. Communication with stakeholders across technology and business teams is essential for success in the role.

The team is responsible for ensuring the integrity and reliability of the risk data that supports the Capital Markets' trading activities. As a Market Risk Data Analyst, you'll take a hands-on role in improving how critical market risk data is sourced, validated, and delivered to help ensure that decisions are based on complete, accurate, and well-controlled information.

The work is technically challenging and highly relevant: you'll be solving data problems that have a direct impact on how the bank manages trading risk. You'll also work closely with both risk and technology partners, and gain exposure to a wide range of trading products, systems, and processes. It's a strong fit for someone who's analytical, detail-oriented, and interested in how capital markets work.

Key Responsibilities

• Maintain and enhance risk data quality controls, ensuring completeness, accuracy, and consistency across trading product datasets.
• Build and support data pipelines and tools that enable efficient ingestion, validation, and transformation of market risk data.
• Investigate and resolve data anomalies by reconciling inputs from source systems (e.g. trading, valuation, reference data) with risk outputs.
• Work closely with technology teams, Capital Markets stakeholders, and risk managers to align data definitions, usage, and business rules.
• Develop and automate data validation scripts and exception reporting using tools like Python and SQL.
• Assist with implementation of strategic data initiatives including data remediation, control enhancements, and documentation standardization.
• Support daily and monthly production cycles, ensuring timely delivery of risk metrics and risk reports to internal and regulatory consumers.
• Apply working knowledge of trading products (e.g., fixed income, credit derivatives, rates, FX) to contextualize risk data and flag inconsistencies.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

Skills and Requirements

• 1+ year of relevant experience in data analysis.
• Strong proficiency in SQL and Python, with hands-on experience manipulating large financial datasets.
• Experience building or maintaining data validation, reconciliation, or control frameworks.
• University degree in finance or a related field (i.e., providing knowledge of derivatives, Market Risk, and Capital Markets).
• Excellent problem-solving skills and the ability to work independently in a fast-paced, high accountability environment.
• Strong communication skills for working with technical teams and business stakeholders.

Soft Skills Required:

• Must be an independent worker w/ a positive attitude.
• Excellent communication & collaboration skills.
• Project management skills.
• Problem-solver and strong analytical mindset.
• Proven ability to collaborate with stakeholders and cross-functional teams.
• Banking and/or financial institution experience is a large asset, especially in market risk, risk data management, financial data engineering, and/or Capital Markets operations.

• Solid understanding of Capital Markets products and risk measures (Ex/ sensitives, VaR/value at risk, stress results).
• Familiarity with market risk data flow and the systems landscape is an asset (Ex/ trading platforms, valuation engines, reference data sources).
• Prior experience with reporting tools (PowerBI and Tableau) is an asset.