Lead Quant Developer

Lead Quant Developer

BlackBull Markets

About BlackBull Markets:

BlackBull Markets is a multi-regulated multi-asset broker headquartered in Auckland, New Zealand. The company provides an institutional trading experience for traders of all levels, emphasising innovative technology and exceptional customer service. BlackBull Markets offers access to hundreds of different markets, enabling traders to diversify their portfolios beyond traditional investing platforms. Committed to continuous improvement, BlackBull Markets strives to meet the evolving needs of traders and maintain its position as a trusted leader in the financial markets.

Role Overview:

The Quant Developer role exists to design, develop, and optimise the quantitative and analytical frameworks that power BlackBull’s trading operations, risk management, and dealer workflows. This role is central to building the next generation of internal trading tools, data pipelines, reporting infrastructure, and automated decision-support systems.

Unlike a typical automation role, this position is focused on building new processes from the ground up, enabling smarter, faster, and more informed dealing decisions. You will work closely with the Market Risk, Data Engineering and Trading Operations to identify inefficiencies, analyse trading flow, and deliver actionable solutions that materially improve risk management, flow monetisation, and operational performance across our global trading environment.

This role requires a unique blend of software engineering capability, quantitative thinking, market microstructure understanding, and a strong intuition for how trading desks operate.

 Required Skills and Experience:

Your responsibilities will include, but are not limited to:

Quantitative Development, Engineering & Process Optimisation

• Design, develop, and maintain robust quantitative tools, models, and systems that directly support trading, risk management, and analytics functions.
• Build new data pipelines, workflows, and automated processes that enhance decision-making. Not only automating existing processes but architecting entirely new ones from the ground up.
• Proactively identify optimisation opportunities across the trading lifecycle and translate them into engineered, scalable solutions.
• Implement real-time systems for data processing, exposure monitoring, trade analytics, liquidity evaluation, and dealer workflow enhancement.
• Develop and maintain back testing, simulation, and model-validation frameworks to support product evolution, risk forecasting, and strategy evaluation.
• Contribute to the design and enhancement of the firm’s trading infrastructure, including bridges, APIs, liquidity connections, monitoring frameworks, and data integration layers.
• Partner with senior members of the risk and trading operations to transform complex market, flow, and exposure challenges into production-ready tools and actionable solutions.
• Build automated systems that reduce manual workload within dealing, risk, and trading operations - improving both efficiency and the quality of decision-making.

Risk Management & Flow Analytics

• Identify, analyse, and provide actionable insights into improvements across risk management, flow monetisation, hedging efficiency, and trading processes.
• Build analytical dashboards and reporting structures to monitor exposure, P&L drivers, client behaviour patterns, and liquidity performance.
• Support development of models and tools that improve execution quality, pricing efficiency, and trade-routing logic.
• Ensure data accuracy and integrity across trading components, including order books, positions, exposure calculations, and reconciliation layers.

Cross-Team Collaboration

• Serve as a key technical partner to Market Risk, Trading Operations, Liquidity, Compliance, and senior management.
• Translate high-level dealing and risk requirements into detailed technical specifications and scalable engineering solutions.
• Participate in UAT, regression testing, system profiling, and production validation for new tooling and system changes.
• Assist in troubleshooting and root-cause analysis of production issues relating to trading workflows, pricing, and data pipelines.

Required Skills and Experience

Technical & Quantitative

• Degree in Computer Science, Engineering, Mathematics, Finance, or a related discipline.
• Strong programming experience with Python (Pandas, NumPy, data engineering libraries) and SQL, with proven ability to build production-grade data pipelines and analytical tools.
• Experience with workflow orchestration (e.g., Airflow), dashboarding (e.g., Tableau/Power BI, and containerisation (e.g., Docker).
• Strong understanding of algorithms, data structures, and software engineering best practices.
• Experience designing and maintaining reporting infrastructure, data automations, and analytics systems for trading or financial risk management functions.

Financial Markets & Trading Systems

• Experience in a trading, dealing, risk, or quantitative development environment within FX/CFD or related markets.
• Understanding of market microstructure, exposure management, pricing, client flow behaviour, and liquidity provider interactions.
• Familiarity with MT4/MT5/cTrader, bridge technologies, aggregation systems, and other trading infrastructure is highly advantageous.

Analytical & Problem-Solving

• High numerical aptitude with the ability to analyse complex datasets and extract actionable insights.
• Ability to break down ambiguous trading problems into structured workflows and scalable solutions.
• Experience building new processes, frameworks, or tools that drive measurable improvements - not just automating existing ones.

Soft Skills

• Strong communication skills with the ability to translate technical output into dealer-friendly and management-ready insights.
• Ability to work autonomously while collaborating effectively across global teams.
• Strong organisational skills with the ability to prioritise in a fast-paced, time-sensitive environment.

About You

You are a proactive, technically strong problem-solver who sits comfortably at the intersection of software engineering, quantitative analysis, and trading operations. You are motivated by building impactful systems from scratch, not only refining existing ones.

You are:

• Curious and analytical, always exploring “why” before building the “how.”
• Comfortable engaging with dealers, risk managers, and business stakeholders to understand challenges deeply.
• Skilled at turning loosely defined problems into precise, engineered solutions.
• Passionate about automation, efficiency, and data-driven decision-making.
• A strong communicator who can bridge technical and non-technical teams.
• Committed to continuous improvement and staying ahead of industry and technological trends.