77 Trading Director jobs in the United Kingdom

Head of Algorithmic Trading Strategy

LS1 4DG Leeds, Yorkshire and the Humber £150000 annum + bon WhatJobs

Posted 12 days ago

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full-time
Our client, a leading quantitative hedge fund, is seeking an exceptional Head of Algorithmic Trading Strategy to lead the development and execution of cutting-edge trading algorithms. This is a critical, fully remote role that requires a deep understanding of financial markets, statistical modeling, and advanced programming techniques. You will be responsible for designing, back-testing, and deploying sophisticated algorithmic trading strategies across various asset classes. This includes identifying new trading opportunities, optimizing existing strategies, and managing the entire lifecycle of algorithmic trading systems. The ideal candidate will possess a strong academic background in a quantitative field (e.g., Mathematics, Physics, Computer Science, Economics) and a proven track record of success in developing and implementing profitable trading algorithms. Experience with machine learning, artificial intelligence, and high-frequency trading is highly desirable. You will lead a team of talented quantitative analysts and developers, fostering a culture of innovation and rigorous analysis. Key responsibilities include overseeing the research agenda, managing risk associated with algorithmic strategies, ensuring the reliability and performance of trading infrastructure, and collaborating with portfolio managers to align strategies with market objectives. Excellent analytical, problem-solving, and communication skills are essential. You must be able to articulate complex quantitative concepts clearly to both technical and non-technical stakeholders. This is an unparalleled opportunity to shape the future of quantitative trading at a top-tier financial institution. If you are a driven and innovative quantitative strategist with a passion for financial markets and a desire to push the boundaries of algorithmic trading, we encourage you to apply. This role is fully remote, though proximity to major financial hubs like Leeds, West Yorkshire, UK , is often advantageous for industry connections.
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Quantitative Analyst - Financial Markets

WV1 2BB Wolverhampton, West Midlands £70000 Annually WhatJobs

Posted 19 days ago

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full-time
Our client, a prestigious investment bank with a significant presence in **Wolverhampton, West Midlands, UK**, is actively seeking a highly analytical and mathematically gifted Quantitative Analyst to join their sophisticated financial modeling team. This role is instrumental in developing and implementing complex financial models, pricing derivatives, managing risk, and driving trading strategies across various asset classes. The successful candidate will possess a strong academic background, exceptional programming skills, and a deep understanding of financial markets.

Key Responsibilities:
  • Developing, testing, and deploying quantitative models for pricing, risk management, and hedging of financial derivatives and structured products.
  • Implementing trading algorithms and strategies using sophisticated programming languages.
  • Conducting in-depth market research and data analysis to identify trading opportunities and assess risks.
  • Collaborating closely with traders, portfolio managers, and other quantitative professionals to develop and refine financial strategies.
  • Performing back-testing and performance attribution analysis on trading strategies.
  • Building and maintaining high-performance computing infrastructure for quantitative analysis.
  • Ensuring the accuracy, robustness, and compliance of all developed models.
  • Communicating complex quantitative concepts and findings to both technical and non-technical audiences.
  • Contributing to the innovation and development of new quantitative methodologies and tools.
  • Monitoring market conditions and regulatory changes affecting financial modeling and trading.
  • Assisting in the development and validation of risk models and stress testing scenarios.
Qualifications and Skills:
  • Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
  • Proven experience (minimum 3-5 years) as a Quantitative Analyst or in a similar role within the financial services industry.
  • Expertise in programming languages such as Python, C++, R, or Java.
  • Strong knowledge of financial derivatives, fixed income, equities, and foreign exchange markets.
  • Solid understanding of stochastic calculus, probability theory, and statistical modeling.
  • Experience with large-scale data analysis and numerical methods.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain complex ideas clearly.
  • Familiarity with machine learning techniques is a plus.
  • Ability to work effectively under pressure and meet tight deadlines.
  • Discretion and a high level of integrity are essential.
This is a fully remote position, allowing exceptional talent to contribute from anywhere while remaining an integral part of our client's high-performing team. We offer a highly competitive remuneration package, substantial bonuses, and opportunities for professional growth in a challenging and intellectually stimulating environment. While the company has a strong base in **Wolverhampton**, this role is designed for remote contribution.
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Quantitative Analyst - Financial Markets

M1 1AA Manchester, North West £75000 Annually WhatJobs

Posted 21 days ago

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full-time
Our client, a distinguished financial institution, is looking for a highly analytical and mathematically adept Quantitative Analyst to join their dynamic team in **Manchester, Greater Manchester, UK**. This role operates on a hybrid model, offering a balance of remote work and office presence. You will be responsible for developing and implementing complex mathematical models and algorithms to support trading strategies, risk management, and financial product development. This position demands a rigorous understanding of financial markets, statistical modeling, and programming. Key responsibilities include building predictive models, backtesting trading strategies, analyzing large datasets of market data, and contributing to the pricing and hedging of derivatives. You will work closely with traders, portfolio managers, and risk officers to provide data-driven insights and solutions. The ideal candidate will possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Proven experience in a quantitative role within the financial industry is essential, with a strong focus on financial modeling and risk analysis. Proficiency in programming languages like Python, C++, or R, and experience with statistical and machine learning libraries are required. Knowledge of financial instruments, derivatives pricing, and market microstructure is highly desirable. Exceptional problem-solving abilities and strong communication skills are necessary to articulate complex quantitative concepts to non-technical stakeholders. This is an opportunity to make a significant impact in a challenging and rewarding financial environment.
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Senior Quantitative Analyst - Financial Markets

WV1 1ST Wolverhampton, West Midlands £70000 Annually WhatJobs

Posted today

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full-time
Our client, a reputable financial institution, is seeking a highly analytical and skilled Senior Quantitative Analyst to join their trading strategy team in **Wolverhampton, West Midlands, UK**. This hybrid role offers a combination of office-based work and remote flexibility. You will be responsible for developing, testing, and implementing complex mathematical models and quantitative strategies for trading financial instruments. The ideal candidate will have a strong academic background in a quantitative discipline (e.g., Mathematics, Physics, Computer Science, Financial Engineering) and extensive experience in financial markets. Your responsibilities will include statistical analysis of market data, back-testing trading algorithms, risk management modeling, and collaborating with traders and portfolio managers to identify profitable trading opportunities. Expertise in programming languages such as Python, R, C++, or Java, along with experience in financial modeling software and databases, is essential. You should possess excellent problem-solving skills, a keen eye for detail, and the ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences. This role offers the opportunity to work on cutting-edge quantitative strategies and contribute significantly to the firm's trading performance.

Responsibilities:
  • Develop and implement quantitative trading strategies and models.
  • Conduct statistical analysis of financial market data.
  • Back-test and validate trading algorithms.
  • Perform risk analysis and develop risk management models.
  • Collaborate with traders and portfolio managers to identify trading opportunities.
  • Write efficient and robust code for model implementation.
  • Research and explore new quantitative techniques and data sources.
  • Document methodologies, models, and results clearly.
  • Stay abreast of market developments and quantitative finance research.
  • Contribute to the continuous improvement of trading systems and processes.
Qualifications:
  • Master's or PhD degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • Minimum of 5 years of experience in quantitative analysis or a similar role within the financial industry.
  • Proven experience in developing and implementing quantitative trading strategies.
  • Strong proficiency in programming languages like Python, R, C++, or Java.
  • Experience with financial modeling, time-series analysis, and statistical software.
  • Solid understanding of financial markets and instruments.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation abilities.
  • Ability to work effectively in a hybrid team environment.
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Senior Quantitative Analyst - Financial Markets

BN1 2GU East Sussex, South East £90000 Annually WhatJobs

Posted 1 day ago

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full-time
Our client, a prestigious financial institution in **Brighton, East Sussex, UK**, is seeking a highly skilled and experienced Senior Quantitative Analyst to join their sophisticated trading and risk management division. This role is integral to developing and implementing cutting-edge mathematical models and algorithms that drive trading strategies, price complex financial instruments, and manage market risk across a wide array of asset classes.

You will be at the forefront of quantitative finance, working within a highly collaborative team of quants, traders, and risk managers. Your responsibilities will include designing, backtesting, and deploying pricing models, risk analytics, and algorithmic trading strategies. This position demands exceptional analytical prowess, deep expertise in financial mathematics, strong programming skills, and a thorough understanding of financial markets. The role is based in our modern **Brighton** offices, providing an excellent working environment and opportunities for professional growth.

Key Responsibilities:
  • Develop, implement, and validate quantitative models for pricing derivatives, structured products, and other financial instruments.
  • Design and backtest algorithmic trading strategies across various asset classes (equities, fixed income, FX, commodities).
  • Develop and refine methodologies for market risk measurement and management (e.g., VaR, Expected Shortfall).
  • Build and maintain efficient and robust trading system components.
  • Collaborate closely with traders, portfolio managers, and risk officers to understand their needs and provide quantitative solutions.
  • Conduct in-depth statistical analysis of market data to identify patterns and opportunities.
  • Communicate complex quantitative concepts clearly and effectively to both technical and non-technical stakeholders.
  • Ensure the accuracy, integrity, and performance of quantitative models and systems.
  • Stay abreast of the latest research and developments in quantitative finance, econometrics, and financial engineering.
  • Contribute to the firm's overall quantitative research agenda and strategy.
  • Code and optimize algorithms in languages such as Python, C++, or R.
  • Assist in the development and implementation of regulatory reporting requirements.

Qualifications:
  • Master's or Ph.D. in a quantitative field such as Financial Mathematics, Statistics, Physics, Computer Science, or Engineering.
  • Minimum of 5-7 years of experience in a quantitative role within investment banking, asset management, hedge funds, or a proprietary trading firm.
  • Proven expertise in derivative pricing, risk management, and algorithmic trading.
  • Strong programming skills in Python and/or C++, with experience in numerical analysis and scientific computing libraries.
  • Deep understanding of financial markets, asset classes, and trading operations.
  • Proficiency in statistical modeling, time-series analysis, and econometrics.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation abilities.
  • Ability to work effectively under pressure and meet tight deadlines.
  • Familiarity with machine learning techniques in finance is a plus.
  • Experience with distributed computing and big data technologies is advantageous.

This is an exceptional opportunity for a talented quantitative analyst to advance their career in a challenging and rewarding environment within the vibrant city of **Brighton**.
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Senior Data Scientist - Financial Markets

NE1 4EQ Newcastle upon Tyne, North East £75000 Annually WhatJobs

Posted 1 day ago

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full-time
Our client, a dynamic fintech company at the forefront of financial innovation, is actively seeking a highly skilled and experienced Senior Data Scientist to join their fully remote team. This role is crucial for leveraging advanced data analytics and machine learning techniques to uncover insights, predict market trends, and enhance our financial products. You will be responsible for the end-to-end data science lifecycle, from data acquisition and processing to model development, deployment, and monitoring. Your work will directly influence strategic decisions and product development within the organization. Ideal candidates possess a strong blend of statistical rigor, programming prowess, and deep domain knowledge in financial markets. Responsibilities include:
  • Developing and deploying machine learning models for tasks such as fraud detection, credit scoring, algorithmic trading, and customer behavior analysis.
  • Extracting, cleaning, and transforming large, complex datasets from various financial sources.
  • Conducting exploratory data analysis to identify patterns, trends, and anomalies in market data.
  • Designing and implementing A/B tests and other experiments to evaluate model performance and product features.
  • Collaborating with product managers, engineers, and other stakeholders to define data science requirements and deliver actionable insights.
  • Communicating complex findings and recommendations to both technical and non-technical audiences through compelling visualizations and reports.
  • Staying current with the latest advancements in data science, machine learning, and artificial intelligence, particularly within the financial sector.
  • Building data pipelines and contributing to the development of scalable data science infrastructure.
  • Mentoring junior data scientists and contributing to the team's knowledge base.
Qualifications:
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
  • Minimum of 5 years of professional experience as a Data Scientist, with a significant portion focused on financial data.
  • Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, Keras, Pandas, NumPy).
  • Strong understanding of statistical modeling, machine learning algorithms (supervised and unsupervised), and deep learning techniques.
  • Experience with SQL and working with large relational databases.
  • Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain technical concepts to a diverse audience.
  • Demonstrated ability to work independently and collaboratively in a remote, fast-paced environment.
  • Knowledge of financial markets, trading, or risk management is highly desirable.
This is an exciting opportunity to shape the future of finance through data-driven insights, all within a flexible, fully remote setting. If you are a passionate data scientist eager to make a significant impact, apply today! This position will support operations related to **Newcastle upon Tyne, Tyne and Wear, UK**.
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Senior Investment Analyst - Financial Markets

PL1 1AB Plymouth, South West £70000 Annually WhatJobs

Posted 1 day ago

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full-time
Our client, a prestigious financial institution, is seeking a highly analytical and detail-oriented Senior Investment Analyst to join their esteemed team in Plymouth, Devon, UK . This challenging role involves conducting in-depth research and analysis of financial markets, investment opportunities, and economic trends to provide strategic recommendations that drive portfolio performance. The ideal candidate will possess a deep understanding of financial instruments and a proven ability to translate complex data into actionable insights.

Key Responsibilities:
  • Perform comprehensive financial analysis on securities, industries, and macroeconomic trends.
  • Develop and maintain financial models to forecast company performance and valuation.
  • Conduct due diligence on potential investment opportunities across various asset classes.
  • Monitor portfolio performance, identify risks, and recommend adjustments to asset allocation.
  • Prepare detailed investment research reports and presentations for senior management and clients.
  • Stay informed about global economic developments and their potential impact on investment strategies.
  • Collaborate with portfolio managers to develop and implement investment strategies.
  • Ensure compliance with all regulatory requirements and internal policies.
  • Engage with industry experts, company management, and sell-side analysts to gather information.
  • Contribute to the overall investment strategy and decision-making process.

Qualifications:
  • Bachelor's degree in Finance, Economics, Mathematics, or a related quantitative field. A Master's degree or MBA is highly desirable.
  • Significant experience (5+ years) in investment analysis, portfolio management, or a similar finance role.
  • Proficiency in financial modeling, valuation techniques, and statistical analysis.
  • Strong understanding of various financial instruments, including equities, fixed income, and derivatives.
  • Excellent analytical, critical thinking, and problem-solving skills.
  • Demonstrated ability to communicate complex financial information clearly and concisely, both verbally and in writing.
  • Proficiency in financial databases (e.g., Bloomberg, Refinitiv) and analytical software.
  • Professional certifications such as CFA (Chartered Financial Analyst) are strongly preferred.
  • Ability to work effectively in a high-pressure, deadline-driven environment.

This is a premier opportunity for a seasoned investment professional to join a leading firm in Plymouth and contribute to significant investment decisions. The role requires a dedicated individual committed to rigorous analysis and strategic thinking.
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Senior Quantitative Analyst - Financial Markets

SO15 1AA Southampton, South East £80000 Annually WhatJobs

Posted 2 days ago

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full-time
Our client, a leading firm within the Southampton, Hampshire, UK financial sector, is seeking an accomplished Senior Quantitative Analyst to join their dynamic team. This role offers a hybrid working model, combining focused work at our client's state-of-the-art offices with the flexibility of remote collaboration. The successful candidate will play a crucial role in developing and implementing sophisticated financial models, risk management strategies, and trading algorithms. You will leverage advanced statistical, mathematical, and computational techniques to derive insights, optimize investment performance, and manage financial risks. This position demands a strong analytical mind, exceptional programming skills, and a deep understanding of financial markets.

Responsibilities:
  • Develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
  • Analyze large and complex datasets to identify market trends, opportunities, and potential risks.
  • Collaborate with portfolio managers, traders, and risk managers to understand their needs and provide data-driven solutions.
  • Design and execute back-testing procedures to validate model performance.
  • Write efficient and robust code in languages such as Python, R, C++, or Java.
  • Stay abreast of academic research and industry best practices in quantitative finance.
  • Contribute to the development and enhancement of the firm's trading infrastructure and analytical tools.
  • Communicate complex quantitative concepts and findings clearly to both technical and non-technical audiences.
  • Ensure compliance with regulatory requirements and internal policies.
  • Mentor junior quantitative analysts and contribute to team knowledge sharing.
  • Identify and implement innovative approaches to financial modeling and data analysis.
  • Evaluate the performance of financial instruments and investment portfolios.

Qualifications:
  • Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • A minimum of 5 years of experience in a quantitative role within investment banking, asset management, or hedge funds.
  • Proven expertise in statistical modeling, time series analysis, and machine learning techniques.
  • Strong programming skills in Python, R, C++, or Java, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas, scikit-learn).
  • Deep understanding of financial markets, derivatives, and risk management principles.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain complex concepts effectively.
  • Experience with databases (e.g., SQL) and data visualization tools.
  • Ability to work effectively both independently and as part of a collaborative team in a hybrid environment.
  • Familiarity with financial regulations and compliance is a plus.
This is a challenging and rewarding opportunity to contribute to a leading financial institution's success.
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Senior Quantitative Analyst - Financial Markets

EC4N 4SJ London, London £90000 Annually WhatJobs

Posted 2 days ago

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full-time
Our client, a prestigious global investment bank, is seeking an exceptionally talented Senior Quantitative Analyst to join their sophisticated trading strategies team. This role is primarily remote, offering the unique opportunity to contribute to high-stakes financial market analysis from anywhere within the UK. The successful candidate will possess a deep theoretical and practical understanding of financial mathematics, statistical modeling, and programming. You will be responsible for developing, implementing, and validating complex quantitative models used for pricing derivatives, risk management, algorithmic trading, and portfolio optimization. This role requires a highly analytical mind, exceptional problem-solving skills, and the ability to translate intricate financial concepts into robust computational solutions. Key responsibilities include designing new trading algorithms, back-testing strategies, conducting in-depth market research, collaborating with traders and portfolio managers to understand their needs, and ensuring the integrity and performance of deployed models. Proficiency in programming languages such as Python, C++, or R, along with strong knowledge of financial markets and instruments, is essential. The ability to communicate complex quantitative ideas clearly and concisely to both technical and non-technical audiences is crucial. We are looking for an individual who thrives in a challenging, fast-paced environment, possesses a strong academic background (MSc or PhD in a quantitative field), and has a proven track record of delivering impactful quantitative solutions in a financial setting. This remote position demands a high degree of self-motivation, discipline, and excellent organizational skills.

Key Responsibilities:
  • Develop, implement, and validate complex quantitative models for financial markets.
  • Design and back-test novel trading algorithms and strategies.
  • Conduct rigorous market analysis and research to identify investment opportunities.
  • Collaborate with traders and portfolio managers to define and refine quantitative strategies.
  • Ensure the accuracy, robustness, and performance of deployed quantitative models.
  • Contribute to the development of risk management frameworks and tools.
  • Analyze large datasets to extract actionable insights and inform decision-making.
  • Communicate complex quantitative concepts effectively to technical and business stakeholders.
  • Stay abreast of the latest advancements in quantitative finance and computational techniques.
  • Maintain high standards of code quality, documentation, and model governance.
Qualifications:
  • MSc or PhD in a highly quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • Significant experience as a Quantitative Analyst in investment banking or hedge funds.
  • Expertise in developing and implementing financial models (e.g., pricing, risk, trading).
  • Advanced proficiency in programming languages (e.g., Python, C++, R, SQL).
  • Deep understanding of financial markets, derivatives, and trading strategies.
  • Strong analytical, statistical, and problem-solving skills.
  • Excellent communication and interpersonal skills, with the ability to explain complex topics.
  • Proven ability to work independently and manage multiple priorities in a remote setting.
  • Experience with big data technologies and machine learning is a plus.
This is an exceptional opportunity for a seasoned Quant to drive innovation in a leading financial institution.
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Senior Quantitative Analyst - Financial Markets

G1 2AA Glasgow, Scotland £80000 Annually WhatJobs

Posted 2 days ago

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full-time
Our client, a leading fintech innovator, is seeking an exceptional Senior Quantitative Analyst to join their dynamic, remote-first team. Based remotely with operations supporting Glasgow, Scotland, UK , you will play a pivotal role in developing and implementing sophisticated mathematical models and trading strategies for complex financial markets. This position requires a profound understanding of financial instruments, advanced statistical techniques, and strong programming skills to drive innovation and profitability. You will be instrumental in designing, testing, and deploying quantitative strategies that give our client a competitive edge.

Responsibilities:
  • Design, develop, and backtest complex quantitative trading strategies across various asset classes.
  • Build and maintain robust financial models for pricing, risk management, and portfolio optimization.
  • Conduct in-depth statistical analysis of market data to identify patterns and opportunities.
  • Implement quantitative models into production trading systems, collaborating closely with software engineers.
  • Monitor and analyze the performance of live trading strategies, making necessary adjustments.
  • Research and evaluate new quantitative methodologies and technologies.
  • Collaborate with portfolio managers and traders to understand market needs and develop tailored solutions.
  • Ensure the accuracy and reliability of data used in quantitative analysis.
  • Document all models, strategies, and methodologies thoroughly.
  • Stay current with industry trends, research papers, and academic advancements in quantitative finance.
  • Contribute to the development of our quantitative research platform and tools.
Qualifications:
  • Master's or PhD in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, Computer Science, or a related discipline.
  • 5+ years of relevant experience in quantitative analysis, algorithmic trading, or financial modeling within the finance industry.
  • Proficiency in programming languages such as Python, C++, R, or similar, with a strong emphasis on data analysis and scientific computing libraries.
  • Solid understanding of financial markets, derivatives, fixed income, equities, and their associated risk factors.
  • Expertise in statistical modeling, time series analysis, machine learning, and numerical methods.
  • Experience with large datasets and database technologies (SQL).
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and interpersonal skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Proven ability to work independently and as part of a remote, high-performing team.
  • Familiarity with cloud computing platforms is a plus.
This remote-first role offers the flexibility to work from anywhere while contributing to cutting-edge financial technology. If you possess a rigorous quantitative mindset and a passion for financial markets, we encourage you to apply.
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