Sr. Analyst, Market Data

Capital Power Corporation; Calgary; On-site; CAD 80,000 - 100,000; Full time

Benefits offered by this job

Competitive base salary

Annual incentive

Comprehensive benefits package

Job summary

Capital Power Corporation is seeking a Sr. Analyst, Market Data in Calgary, Canada. This position involves managing the price curve framework within the Risk Group, ensuring the quality and governance of market data curves.

Candidates will need a strong background in risk management, technical skills in pricing models, and hands-on experience with tools such as ZEMA and Allegro. The role offers a hybrid work environment and competitive benefits.

Qualifications

• 5–7+ years in risk management, market data, or quantitative risk in a commodity trading or energy environment.
• Direct experience with ZEMA and/or Allegro in a production environment strongly preferred.
• Hands-on experience building or validating forward price curves.

Responsibilities

• Manage the intake process of commodity and market data curve requests.
• Design, build, and document forward price curve models.
• Execute daily validation and monthly independent price verification process.

Skills

Risk management systems

Analytical tools (ETRM, Excel, Python, R)

SQL and data APIs

Forward price curves

Market data integration

Education

Post-secondary degree in Finance, Economics, Mathematics, Engineering

Advanced degree (Master’s, PhD) or professional designation (CFA, FRM, PRM)

Tools

ZEMA

Allegro

Job description

Capital Power (TSX: CPX) is dedicated to powering change by changing power. This North‑star guides our ambitions as we transform the energy system in North America.

Opportunity

Position: Sr. Analyst, Market Data (Permanent Full‑time) – Responsible for the end‑to‑end price curve framework within the Risk Group, including quality, integrity, and governance of all price and market data curves.

Key Accountabilities

• Serve as the single point of contact for all new commodity and market data curve requests and manage the intake process through governance approval.
• Design, build, calibrate, and document forward price curve models across commodities and delivery points, using directly observable, interpolated, and proxy/spread‑to‑benchmark approaches.
• Own and maintain the central curve register, ensuring all curves are catalogued with current attributes, approval status, and scheduled review dates.
• Configure and maintain approved price curves in ZEMA and Allegro, lead UAT and production deployment.
• Monitor daily curve production across all curves; investigate and resolve data feed failures, quality alerts, and other flags within EOD SLAs; maintain and test fallback procedures.
• Execute the firm’s daily validation and monthly independent price verification (IPV) process; compare curve outputs to independent market sources; prepare and distribute IPV reports; escalate material exceptions.
• Conduct or coordinate independent validation of all new and materially modified price curve models; issue structured validation reports; track findings to remediation; manage the periodic revalidation schedule.
• Prepare and present submissions to Risk Oversight Committee; produce periodic governance reports covering inventory status, open findings, IPV exception trends, and curve performance.
• Maintain the model risk and governance framework for price curves in alignment with Model Risk Policy and applicable regulatory guidance; support audits and regulatory examinations.

Education & Experience

• Post‑secondary degree in Finance, Economics, Mathematics, Engineering, or a related field.
• Advanced degree (e.g., Master’s, PhD) or professional designation (e.g., CFA, FRM, PRM) is an asset.
• 5–7+ years in risk management, market data, model validation, or quantitative risk in a commodity trading or energy environment.
• Hands‑on experience building or validating forward price curves, including proxy/spread‑to‑benchmark methodologies with regression‑based parameter calibration.
• Direct experience with ZEMA and/or Allegro in a production environment strongly preferred.
• Familiarity with model‑risk frameworks and organized commodity markets (AESO, IESO, CAISO, MISO, ERCOT, PJM, Henry Hub, environmental) preferred.

Technical Skills

• Apply risk‑management systems and analytical tools (ETRM, Excel, Python, R) to build, validate, and maintain pricing models and data workflows.
• Query and integrate market data using SQL and data APIs (e.g., ICE Data Services, ZEMA, Nodal) to support curve production and validation processes.
• Automate repetitive data processes and controls using scripting, identifying opportunities to streamline manual workflows.
• Develop, validate, and maintain pricing methodologies, including proxy/spread‑to‑benchmark and regression‑based approaches, across liquid and illiquid markets.
• Demonstrate working knowledge of power market data, forward price curves, and valuation models in regional markets (e.g., WECC, AESO, PJM).
• Leverage AI and emerging analytical tools (Copilot, LLMs, machine‑learning libraries) to enhance data quality checks, anomaly detection, and reporting efficiency.
• Communicate technical content clearly in writing and verbally; present pricing governance updates, exception analysis, and model validation findings to committees and senior stakeholders.

Working Conditions

Hybrid office/work‑from‑home environment. Minimal travel required. Candidates must be legally eligible to work in Canada.

Benefits

Competitive base salary, annual incentive, and participation in Capital Power’s long‑term incentive program. Comprehensive package including flexible benefits, retirement savings, paid time off, and ongoing development opportunities.

Referral Reward

Capital Power employees referring a successful candidate receive a $1,000 reward.

EEO Statement

Capital Power is committed to providing a fair and transparent hiring process. We recognize and embrace the value of diversity and hire employees with the appropriate skills, experience, and knowledge for each position.