Quantitative Financial Engineer

TechBiz Global GmbH; Toronto; On-site; CAD 90,000 - 150,000; Full time

Job summary

A leading company is seeking a highly skilled Quantitative Financial Engineer to drive innovation in pricing and risk management frameworks. You will design and optimize pricing models, execution strategies, and market integration tools, contributing directly to product strategy and system architecture in a global trading environment.

Qualifications

• Minimum of 5 years’ experience in quantitative roles within banks, hedge funds, brokers, or proprietary trading firms.
• Strong expertise in Spot FX, Derivatives, Structured Products, and CFDs.
• Proficiency in Python or other programming languages used in financial modeling and analytics.

Responsibilities

• Lead the development of pricing models and execution algorithms for Spot FX, CFDs, Futures, and Structured Products.
• Design and optimize proprietary pricing engines, risk models, and algorithmic trading systems.
• Monitor and analyze market microstructure, execution quality, and trading efficiency using quant-driven tools.

Skills

Mathematical Acumen

Financial Engineering

Proficiency in Python

Quantitative Modeling

Risk Analytics

Execution Logic Optimization

Communication Skills

Education

Master's or Ph.D. in Quantitative Finance, Financial Engineering, Mathematics, Computer Science

Job description

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Quantitative Financial Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Role Overview :

We are seeking a highly skilled Quantitative Financial Engineer with deep expertise in Spot FX, Derivatives, Structured Products, and Futures to design, build, and optimize pricing models, execution strategies, and market integration tools.

As the lead quantitative expert, you will drive innovation in pricing and risk management frameworks, develop new financial instruments, and work closely with cross-functional teams including trading, liquidity, and development. This is a hands-on role requiring strong mathematical acumen, financial engineering experience, and ideally, proficiency in Python.

You’ll contribute directly to product strategy, system architecture, and execution efficiency—delivering robust, scalable, and cutting-edge solutions for a global trading environment.

Key Responsibilities :

Lead the development of pricing models and execution algorithms for Spot FX, CFDs, Futures, and Structured Products.

Design and optimize proprietary pricing engines, risk models, and algorithmic trading systems.

Integrate market data sources, liquidity providers, and prime brokers to ensure real-time pricing and execution.

Work closely with trading desks and liquidity teams to refine product offerings and enhance competitiveness.

Troubleshoot live pricing and execution issues in collaboration with trading operations.

Build backtesting frameworks and tools to evaluate pricing strategies and improve performance.

Monitor and analyze market microstructure, execution quality, and trading efficiency using quant-driven tools.

Collaborate with developers to improve infrastructure, automation, and API connectivity.

Ensure the seamless orchestration of all quant and trading systems.

Minimum of 5 years’ experience in quantitative roles within banks, hedge funds, brokers, or proprietary trading firms.

Strong expertise in Spot FX, Derivatives (Options, Futures, Swaps), Structured Products, and CFDs.

Advanced knowledge of pricing theory, yield curve modeling, volatility surfaces, and stochastic models.

Proven track record in building and maintaining market-making models and algorithmic execution strategies.

Experience working with API-driven trading systems, order book dynamics, and market microstructure.

Proficiency in Python or other programming languages used in financial modeling and analytics.

Solid background in quantitative modeling, risk analytics, and execution logic optimization.

Familiarity with integrating real-time market feeds and developing quant-based hedging / risk control frameworks.

Excellent communication and cross-team collaboration skills.

Preferred Qualifications :

Master's or Ph.D. in Quantitative Finance, Financial Engineering, Mathematics, Computer Science, or related fields.

Experience working with global markets and multi-asset execution platforms.

Familiarity with FIX protocols and API-based trading infrastructure.

Understanding of regulatory requirements and compliance standards in trading.

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Quantitative Financial Engineer • Toronto, ON, CA