Quantitative Business Analyst

Purpose of the Role?

• The primary purpose of this role is to bridge the gap between front office business requirements, quantitative analytics, and technology delivery within a Financial Markets environment.
• The Quantitative Business Analyst is responsible for eliciting, analysing and documenting complex business requirements while designing, validating and enhancing quantitative models, analytical solutions and decision-support frameworks.
• The role combines advanced business analysis capabilities with quantitative modelling expertise to support front office trading, treasury, capital markets and investment operations. The incumbent will work closely with the business stakeholders to deliver high-quality analytical solutions that drive informed decision-making, operational efficiency and strategic outcomes.
• The successful candidate will have strong Financial Markets experience and working knowledge of platforms such as Murex, Calypso, Front Arena and AWS.
• This role is ideally suited to a highly experienced quantitative professional who combines strong Business Analysis capabilities with deep Financial Markets expertise and practical experience across Murex, Calypso, Front Arena and AWS environments.

Key Responsibilities

Business Analysis & Requirements Management

• Lead discovery workshops and stakeholder engagements to determine business requirements, expected outcomes and operational priorities.
• Analyse and document business, functional and non-functional requirements.
• Produce Business Requirement Specifications (BRS), Functional Requirement Specifications (FRS), user stories, use cases and process flows.
• Facilitate communication between front office stakeholders, quantitative teams and technology delivery teams.
• Model and frame business scenarios, workflows and future-state operating models.
• Ensure traceability of requirements throughout the project lifecycle.

Key Responsibilities

Quantitative Analysis & Financial Modelling

• Design, develop, test and maintain financial models supporting trading, risk management, valuation and portfolio management activities.
• Perform advanced quantitative and statistical analysis to solve complex business and investment challenges.
• Apply predictive analytics, machine learning and optimisation techniques where applicable.
• Develop pricing, forecasting, risk and scenario analysis models.
• Conduct what-if analysis and scenario modelling to validate findings and support decision-making.
• Build analytical frameworks and quantitative solutions to support front office operations.
• Identify patterns, trends and opportunities through advanced data exploration and modelling.

Key Responsibilities

Data Analytics & Decision Support

• Assess available internal and external data sources and determine relevance to business objectives.
• Define data requirements and support data acquisition, integration and governance initiatives.
• Develop business metrics, dashboards and performance measures to monitor business and model effectiveness.
• Create analytical insights that improve commercial performance, operational efficiency and decision-making.
• Design experimental approaches to validate hypotheses and measure outcomes.
• Ensure data quality, integrity and compliance with data governance standards.

Key Responsibilities

Technology & Systems Enablement

• Work closely with technology teams to support implementation of quantitative solutions and system enhancements.
• Participate in solution design reviews and ensure business requirements align with technical solutions.
• Support integration and optimisation of Financial Markets systems including:
• Murex
• Calypso
• Front Arena
• AWS Cloud Platforms
• Lead the design, testing and deployment of enhancements and fixes within relevant systems.
• Participate in quality assurance activities, testing reviews and user acceptance testing.
• Ensure solutions comply with regulatory, security and risk management requirements.

Key Responsibilities

Stakeholder Management

• Partner with the business for solutions
• Translate complex quantitative findings into practical business insights and recommendations.
• Present analytical results and modelling outcomes in a clear and understandable manner for business audiences.
• Build trusted relationships across business and technology teams.
• Provide thought leadership and guidance on quantitative and analytical best practices.

Qualifications

• Honours Degree or Postgraduate Qualification in a quantitative field.
• Business Analysis certification (CBAP, CCBA, IIBA or equivalent).
• Financial Markets or Treasury-related certifications.
• AWS Certification advantageous.
• Quantitative Finance
• Financial Mathematics
• Statistics
• Mathematics
• Actuarial Science
• Financial Engineering
• Economics
• Computer Science
• Information Systems
• Related quantitative discipline

Knowledge and Experience

• 5–10 years' experience in a Quantitative Business Analysis, Quantitative Analyst or related Financial Markets role.
• Strong knowledge of Financial Markets products
• Experience operating within Front Office environments.
• Proven experience designing and implementing quantitative and analytical solutions.
• Advanced business analysis experience across large-scale technology initiatives.
• Experience translating business requirements into quantitative and technology solutions.

Advantageous

• Experience within investment management, banking, treasury or capital markets environments.
• Exposure to machine learning and predictive analytics.
• Understanding of cloud-based analytics and data platforms.
• Experience working within Agile and DevOps environments.

Technical Competencies

• Technical Competencies
• Quantitative Analysis
• Financial Modelling
• Statistical Analysis
• Predictive Modelling
• Business Analysis
• Requirements Management
• Data Analytics
• Scenario Analysis
• Algorithm Design
• Process Modelling
• Systems Analysis
• Data Governance
• Financial Markets Knowledge
• Cloud Computing (AWS)

Core Competencies

• Cultivates Innovation – Creating new and better ways for the organisation to be successful
• Client focus – building strong client relationships and delivering client centric solutions
• Drives results – consistently seizing opportunities and achieving results even under tough circumstances
• Collaborates – building partnerships and working collaboratively and inclusively with others to meet shared objectives
• Being Resilient – rebounding from setbacks and adversity when facing difficult situations

Behavioural Competencies

• Business Insight – applying knowledge of business and the marketplace to advance the organizations goals
• Action Orientated – Taking on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm
• Manages Ambiguity – Operating effectively even when things are not certain or the way forward is not clear
• Communicates Effectively – developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
• Plans and Aligns – Planning and Prioritising work to meet commitments aligned with organisational goals
• Ensures Accountability – Holding self and others accountable to meet commitments

Success Measure

The incumbent will be successful when they:

• Deliver high-quality quantitative models and analytical solutions that support front office business objectives.
• Enable accurate and effective decision-making through actionable insights.
• Improve operational efficiency, risk management and trading effectiveness.
• Successfully implement enhancements across core Financial Markets platforms.
• Ensure business requirements are fully understood, documented and delivered.
• Maintain high standards of regulatory, data and model governance compliance.
• Build strong partnerships between business, quantitative and technology teams.