About the role
Quantitative Analyst | Commodity Pricing & Position Management | Toronto, CA A leading financial institution is seeking a Quantitative Analyst (Strat) to design, build, and maintain models and tools used for commodity pricing and position management.
This is a front-office aligned role, working closely with trading and risk teams to develop quantitative solutions that directly support trading decisions and market analysis.
The position will initially focus on .NET and Excel-based model development, with the opportunity to collaborate with engineering teams to transition these tools into scalable web-based applications.
This role is ideal for someone who enjoys working at the intersection of quantitative finance, software development, and trading technology.
Key Responsibilities
- Develop and maintain .NET-based mathematical finance libraries for commodity pricing models.
- Build and maintain Excel-based pricing models and position tracking tools used by trading desks.
- Utilize internal engineering frameworks to build web-based or GUI applications supporting trading activity.
- Automate data workflows and integrate internal and external market data sources.
- Collaborate closely with traders, risk managers, and technology teams to gather requirements and deliver solutions.
- Ensure quantitative tools are robust, scalable, and aligned with trading strategies and risk policies.
- Document models, workflows, and application architecture.
Experience
- Bachelor’s or graduate degree in Physics, Engineering, Computer Science, Mathematics, or a related quantitative field.
- 2+ years of experience in a quant, strat, or quantitative developer role within commodities or a related asset class.
- Strong understanding of commodity markets and pricing methodologies.
- Advanced Excel skills (including VBA).
- Programming experience in Python or C#.
- Strong analytical, problem-solving, and communication skills.
This role is based in Toronto, Ontario Canada with a lucrative salary paying up to $160,000 CAD Base.
If you are interested, please apply with an updated resume below or to lizeviljoen@albertbow.com – Initial Interviews are happening ASAP!
About Albert Bow
Albert Bow is a leading Technology, Quantitative Finance, and Trading search firm specialising in placing elite candidates and teams globally. We connect you with top-tier teams and executive leadership necessary to propel your business forward. Tying you to the best.
If you are looking for an excellent team member to join your company or you are on the hunt for a new position, we can introduce you to the right people.
Similar jobs you might like
About the role
Quantitative Analyst | Commodity Pricing & Position Management | Toronto, CA A leading financial institution is seeking a Quantitative Analyst (Strat) to design, build, and maintain models and tools used for commodity pricing and position management.
This is a front-office aligned role, working closely with trading and risk teams to develop quantitative solutions that directly support trading decisions and market analysis.
The position will initially focus on .NET and Excel-based model development, with the opportunity to collaborate with engineering teams to transition these tools into scalable web-based applications.
This role is ideal for someone who enjoys working at the intersection of quantitative finance, software development, and trading technology.
Key Responsibilities
- Develop and maintain .NET-based mathematical finance libraries for commodity pricing models.
- Build and maintain Excel-based pricing models and position tracking tools used by trading desks.
- Utilize internal engineering frameworks to build web-based or GUI applications supporting trading activity.
- Automate data workflows and integrate internal and external market data sources.
- Collaborate closely with traders, risk managers, and technology teams to gather requirements and deliver solutions.
- Ensure quantitative tools are robust, scalable, and aligned with trading strategies and risk policies.
- Document models, workflows, and application architecture.
Experience
- Bachelor’s or graduate degree in Physics, Engineering, Computer Science, Mathematics, or a related quantitative field.
- 2+ years of experience in a quant, strat, or quantitative developer role within commodities or a related asset class.
- Strong understanding of commodity markets and pricing methodologies.
- Advanced Excel skills (including VBA).
- Programming experience in Python or C#.
- Strong analytical, problem-solving, and communication skills.
This role is based in Toronto, Ontario Canada with a lucrative salary paying up to $160,000 CAD Base.
If you are interested, please apply with an updated resume below or to lizeviljoen@albertbow.com – Initial Interviews are happening ASAP!
About Albert Bow
Albert Bow is a leading Technology, Quantitative Finance, and Trading search firm specialising in placing elite candidates and teams globally. We connect you with top-tier teams and executive leadership necessary to propel your business forward. Tying you to the best.
If you are looking for an excellent team member to join your company or you are on the hunt for a new position, we can introduce you to the right people.