Quant Strategist

Our client is a global consulting firm specializing in advanced analytics, quantitative finance, and technology advisory for leading institutions across capital markets. The firm partners with clients to design and implement high-impact solutions in electronic trading, model development, and risk management. Leveraging deep domain expertise and cutting-edge technologies, it delivers tailored strategies that enhance performance, reduce complexity, and support regulatory alignment across the financial services sector.

Mission

The successful candidate will join a specialized consulting team tasked with designing and delivering quantitative trading and risk solutions for clients in global interest rate markets. This role involves leading engagements focused on model development, system architecture, and algorithmic design for pricing and electronic trading. Through deep collaboration with client stakeholders, the consultant will drive impactful outcomes by applying quantitative rigor and engineering excellence to complex financial problems.

Responsibilities

Quantitative Advisory & Implementation

• Lead the design and development of pricing models and algorithmic trading strategies for interest rate products.
• Architect and deliver low-latency trading platforms and decision-making systems for client use cases.
• Build analytical tools for automated risk and position management tailored to client infrastructure.

Client-Facing Research & Model Design

• Conduct quantitative research to support client engagements in electronic market making and pricing automation.
• Develop, document, and validate models in alignment with regulatory and internal governance requirements.
• Provide structured scenario analysis and contribute to market stress testing frameworks.

Stakeholder Engagement & Delivery

• Interface with client teams across Trading, Risk, and Technology to understand requirements and deliver customized solutions.
• Translate technical outputs into actionable insights for both technical and non-technical stakeholders.
• Support project scoping, planning, and prioritization in alignment with client objectives.

Model Risk & Governance Support

• Assist clients in enhancing their model governance frameworks through technical review and effective challenge.
• Advise on best practices in model development, validation, and documentation across trading and risk domains.
• Guide clients in aligning model architecture with enterprise risk appetite and regulatory expectations.

Required Qualifications

• Minimum 5 years of experience in quantitative development or electronic trading systems within financial institutions or consulting environments.
• Strong proficiency in Java, including multi-threaded programming and modern frameworks (Spring, Google Guice).
• Graduate degree (Master's or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, or Computer Science.
• Demonstrated experience with electronic trading infrastructure, including pricing engines, execution logic, and trade lifecycle components.
• Advanced statistical modelling skills and experience working with large-scale financial datasets.
• Solid understanding of interest rate markets and fixed income product structures.