Senior Manager, Middle Office & Quantitative Analytics (Hybrid)

As the Senior Manager, Middle Office & Quantitative Analytics, you will be responsible to lead the Middle Office team in providing independent risk oversight over all derivative trading programs (e.g. CRM, FX trading, Interest Rate hedging and other structures). You will also lead the Quantitative Analytics team in developing risk reporting tools and valuation methodologies used for market, credit, liquidity, and operational risk measurement. Your goal will be to ensure activity is conducted with transparency and in accordance with our risk management policies. Your success in this role will be your effective team leadership for impactful quantitative model development and decision supports analytics for our organization.

What We Offer

• Work environment – Work in our beautiful home office building with access to a fitness facility, onsite nurse, and a café
• Hybrid work model – Allows for a blend of in-office and work-from-home days
• Competitive compensation – Includes an annual bonus plan, pension plan, and parking allowance
• Flexible Benefits Plan – In effect from day one and offers three levels of coverage to select from to meet your unique, personal needs
• Paid vacation – There is an annual option to purchase additional vacation, too
• Wellness support – With an annual wellness allowance, paid personal care days and a 24/7 Employee & Family Assistance Program
• Opportunity to give back to some amazing causes in our community – Choose when and where to make an impact with a paid volunteer day, company volunteer opportunities, and a donation-matching program

• Provide leadership and direction to Middle Office and Quantitative Analytics team, including establishing objectives, measuring results, and ensuring employee accountability and development
• Lead the Quantitative Analytics team, overseeing the development, testing, deployment and maintenance of quantitative models and decision support analytics/tool for internal teams (e.g., Commodity Risk Management, Financial Planning & Analysis, Treasury, Accounting and Middle Office)
• Lead the Middle Office team, overseeing independent risk management activities over derivative transactions to ensure trading activity complies with internal policies and limits. Middle Office activities include, but are not limited to, forward curve generation, mark-to-market calculation, reconciliation of futures contracts, approval/verification of swap and option contracts and daily risk reporting
• Balance independent reporting and control responsibilities of the Middle Office team with a business partnering and enabling approach
• Provide thought leadership on various projects with respect to complex accounting arrangements through research and collaboration with various teams
• Interact with senior leaders and executives, shape and execute analyses, and prepare clear, concise and compelling presentations
• Support the Commodity Risk Management Committee (CRMC) and Audit & Finance Committee in fulfilling financial risk oversight and hedge strategy evaluation
• Assist with Board/Committee reporting, as required
• Lead development of detailed process and ICRF documentation for the Middle Office and Quantitative Analytics teams, as required

• Excellent communication and analytical skills, with ability to clearly articulate complex quantitative analyses and results to ensure messages are easily understood by decision makers
• Strong people and relationship management skills
• Project management/leadership skills
• Demonstrated skills in critical thinking, problem-solving, information sharing and collaboration
• Ability to influence internal and external stakeholders

• 10+ years experience in risk management / quantitative analytics (experience at a commodity, banking, or energy trading company considered an asset)
• Experience in energy commodities and financial derivative markets
• 7+ years leadership experience
• Familiarity in quantitative risk modelling – Value at Risk (VaR), Earnings at Risk (EaR), Cash Flow at Risk (CFaR)
• Programming experience is considered an asset (Python, R, C++, Visual Basic, SAS, etc.)
• Masters degree in a quantitative field, e.g. mathematics, statistics, financial engineering, business, is desired but not required