Quantitative Application Developer

Are you looking for a talented Applications Developer – Intermediate? Apply Now! Working with one of our top financial clients, this role calls for a Quantitative Application Developer. This position involves designing, developing, and implementing data-driven solutions within the Global Markets resource optimization initiative. The successful candidate will contribute to transforming complex trading data into actionable insights and building production-quality applications that support high-stakes decision-making in a fast-paced environment. Pay rate range (CAD): $65.22/hr – $78.26/hr Responsibilities Collaborate with cross-functional teams to elevate prototypes into user-facing applications supporting real-time trading analysis. Design and build dashboards to provide visibility on liquidity, funding positions, and resource metrics. Develop analytical solutions for collateral management, overborrow analysis, and operational efficiencies. Create tools for scenario analysis, stress testing, and resource planning to support risk management. Integrate planning tools with liquidity metrics, transfer pricing, and resource modeling for forward-looking decision support. Transform complex data sources into clear reports and visualizations for traders, risk managers, and senior stakeholders. Build and maintain data pipelines within cloud-based environments, utilizing Python, SQL, and data engineering best practices. Apply machine learning techniques to enhance predictive analytics and operational modeling. Desired Skill-Set Strong proficiency in Python Expertise in SQL and data engineering Experience with cloud platforms (e.g., Databricks, similar) Ability to develop end-to-end analytical solutions Knowledge of data visualization frameworks such as Plotly Dash Familiarity with machine learning applications relevant to finance Excellent problem-solving and critical-thinking skills Strong communication skills for articulating complex concepts Nice to Have Previous experience within financial institutions or Capital Markets Exposure to financial technologies Prior analytics or quantitative modeling experience Familiarity with asset/liability management or liquidity risk frameworks BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled. Privacy Policy

Design and develop data-driven applications and dashboards to support real-time trading analysis and resource optimization. Build and maintain cloud-based data pipelines to transform complex trading data into actionable insights for stakeholders.

Requires strong proficiency in Python, SQL, and data engineering with experience in cloud platforms like Databricks. Candidates should be able to develop end-to-end analytical solutions and have familiarity with machine learning in a financial context.

• Data visualizationPreferred
• SQLPreferred
• Problem solvingPreferred
• Machine learningPreferred
• Communication SkillsPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Data Engineering
• Cloud Platforms
• Databricks
• Plotly Dash
• Machine Learning
• Data Visualization
• Quantitative Modeling
• Problem-solving
• Communication Skills
• Analytical Solutions

• Software
• Data & Analytics
• Finance & Accounting
• Technology
• Engineering

Minimum experience

2+ years

Apply by

Oct 9, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Entry level

Application method

Direct apply is available