Sr. Analyst, Market Data

Capital Power•Calgary, AB

1d•Hybrid

About The Position

The Sr. Analyst, Market Data owns Capital Power’s end-to-end price curve framework within the Risk Group. The role is accountable for the quality, integrity, and governance of all price and market data curves used across the commodity portfolio, spanning new curve intake, methodology design, system configuration, daily production and validation, independent price verification (IPV), and governance reporting. The successful candidate will combine strong quantitative and systems skills with sound professional judgment and a commitment to robust controls and will serve as the subject-matter expert on all matters related to commodity and market data curves.

Requirements

Post-secondary degree in Finance, Economics, Mathematics, Engineering, or a related field.
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.
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, with an ability to identify 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).
Communicate technical content clearly in writing and verbally; able to present pricing governance updates, exception analysis, and model validation findings to committees and senior stakeholders.
Candidates must be legally eligible to work in Canada.
The successful candidate will undergo education verification, reference checks, and a criminal and credit record check.

Nice To Haves

Advanced degree (e.g., Master’s, PhD) or professional designation (e.g., CFA, FRM, PRM) is an asset.
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.
Leverage AI and emerging analytical tools (e.g., Copilot, LLMs, machine learning libraries) to enhance data quality checks, anomaly detection, and reporting efficiency, or demonstrate a genuine curiosity and willingness to explore these tools as they evolve.

Responsibilities

Serve as the single point of contact for all new commodity and market data curve requests and manage the intake process from request through governance approval.
Design, build, calibrate, and document forward price curve models across commodities and delivery points, including 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 (data ingestion, quality rules, curve construction logic) and Allegro (curve definition, valuation formulas, P&L attribution); 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.