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Added 29 mins ago
TSE (Technical Sales Engineer)
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Full-time
We are seeking a motivated Technical Sales Engineer (“TSE”) to join our Sales Team and develop through Vista’s Sales Training & Mentorship Program.
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Scotiabank

Senior Manager, Market Data and Analytics (Contract)

Toronto, ON, M5H 0B4, Canada

Experience: 3+ years of experience in capital markets, with good understanding of data usage in finance, derivative products, market risk and counterparty credit risk measures.
Posting language: English
Posted: Sep 28, 2026

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Original job description

Requisition ID: 272211

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Are you passionate about financial markets and eager to apply analytical skills in a fast-paced environment? Do you thrive in an environment that challenges you to lead innovative approaches to risk management in the ever-evolving capital markets landscape? If so, we invite you to join our dynamic risk management team as a Data Engineer Senior Manager.

As the team continues to grow in response to increasing complexity and regulatory requirements, this high-impact role offers the opportunity to design, implement, and enhance market data and analytics framework for market risk and counterparty credit risk, leverage data analytics tools, improve risk data accuracy, and drive actionable insights that support critical decision-making for business and management. You'll work alongside an exceptional team to have a direct impact on the Bank’s risk management strategy, ensuring robust and accurate stress testing processes that support informed decision-making, regulatory compliance, and the Bank’s overall risk appetite.

Market Data Team is at the center of market data for both market and counterparty credit risk. Market Data is a first-class risk function, not a support function. It’s critical for VaR explainability and Stress Testing credibility. The focus is to manage the Bank’s market data inventory, provide in-depth analysis to monitor and improve data quality, accuracy and utilizations, ensure capital adequacy, and promote proactive risk management across all trading desks and portfolios. We are also adding a market data intelligence capability to directly and proactively improve risk accuracy, risk explainability, monitoring and regulatory compliance. A modern Market Data team can add major strategic value beyond traditional sourcing/cleansing. Close partnerships are maintained with senior leaders, trading desks, product specialists, model development, model validation, regulatory compliance, and technology.

Market data team is the end-to-end owner of market risk data inputs:

Based on FO’s recommendation of data sources, defines market data strategy aligned with risk and regulatory needs and ensures market data is onboarded for fit-for-purpose
Maintains the inventory of data sources and oversees data quality and governance for all risk data
- To ensure all required risk factors are covered with appropriate sources
- To leverage data AI agent to monitor and improve market data quality
- To turn raw market data into risk-consumable inputs and ensure data is not just available but fit-for-purpose for risk usage using tools like monitoring and AI
- To ensure compliance with Enterprise Data Standards
Sets prioritization across asset classes and initiatives based on market data analytics

Is this role right for you? In this role, you will:

12-month contract position.
Actively engaged in discussions and collaboration with other groups within risk management as well as other stakeholders.
Thrive in a high-performance environment within a diverse team, the individual will be working in a collaborative environment.
Work closely with other senior managers within the team as needed, as well as the peers in market risk model development team, capital market stress testing team, and trade floor risk management teams, providing data and data analytics support across designated coverage areas.
Responsibilities may shift depending on evolving priorities and business needs.
Be responsible for ensuring accurate data lineage, integrity, and availability across all stages of the risk calculation process.
Collaborating with risk stakeholders and business partners to design and implement data solutions, as well as coordinating with risk champions to address data gaps and enhance data quality frameworks.
Executing day-to-day data operations, including identifying and implementing corrective actions, performing analytical investigations, and managing proxy selection and maintenance for risk factors.
Work closely with the modelling team and stress testing team to support data calibration, scenario design, and validation.
Play a key role in enhancing data quality, improving risk insights, and supporting critical decision-making across the organization.

Do you have the skills that will enable you to succeed in this role?

Graduated from a quantitative discipline such as (but not limited to) Economics, Financial engineering, Statistics, Physics, Engineering, Data science, or Mathematics, with a strong interest in risk, statistical modeling, research, and data visualization.
3+ years of experience in capital markets, with good understanding of data usage in finance, derivative products, market risk and counterparty credit risk measures.
highly detail-oriented with strong expertise in market data, risk analytics, and data operations to support capital markets risk management activities.
A deep understanding of how market data feeds into risk models, including the full data lifecycle from external vendors through internal systems into risk engines.
Strong written and verbal communication skills.
Strong analytical skills
Hands-on experience in data management and a comprehensive understanding of capital markets risk frameworks
Solid quantitative skills with exceptional and creative problem-solving abilities.
Ability to prioritize and multi-task in a fast-paced environment to meet deadlines.
Attention to detail with the ability to work independently and as part of a team.
Data analysis using programming languages/applications such as Python, SQL, Unix shell scripting, PowerBI and any AI-assisted tools.
High proficiency in MS Office suite.
This role is ideal for an energetic individual who possesses curiosity and drive, is passionate about capital markets, and is eager to apply analytical skills in a fast-paced environment.

What’s in it for you?

An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
Your career matters! You will have access to career development and progression opportunities.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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More about this job

Responsibilities

Own and improve market data inputs for market risk and counterparty credit risk, including data strategy, inventory, governance, quality, lineage, and fit-for-purpose risk data. Conduct data operations and analytical investigations, address data gaps, manage risk-factor proxies, and collaborate with modeling, stress testing, trading, and other risk teams to support accurate risk calculations and regulatory compliance.

Requirements

A degree in a quantitative discipline and at least three years of capital markets experience are required, along with knowledge of financial data usage, derivatives, market risk, counterparty credit risk, and the market data lifecycle. Candidates should have strong analytical, quantitative, communication, and problem-solving skills, hands-on data management experience, and proficiency with tools such as Python, SQL, Unix shell scripting, Power BI, and MS Office.

Skills

Market Data Management
Market Risk
Counterparty Credit Risk
Risk Analytics
Data Quality
Data Governance
Data Lineage
Data Operations
Stress Testing
Risk Modeling
Proxy Selection
Python
SQL
Unix Shell Scripting
Power BI
Data Visualization

Benefits

Career Development Opportunities
Career Progression Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Capital Markets
Market Data
Market Risk
Counterparty Credit Risk
Risk Management
Risk Analytics
Risk Data
Data Engineering
Data Quality
Data Governance
Data Lineage
Data Integrity
Data Lifecycle
Data Operations
Stress Testing
Value At Risk
Risk Factors
Proxy Selection
Data Calibration
Scenario Design
Regulatory Compliance
Enterprise Data Standards
Derivatives
Python
SQL
Unix Shell Scripting
Power BI
Artificial Intelligence
Data Visualization
MS Office

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