41 Crypto Trading jobs in the United Kingdom
Recruitment Consultant - Crypto Trading
Milton Keynes, South East
£26000 - £40000 annum
Evolve Group
Posted 4 days ago
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Recruitment Consultant – Trading & Investing
Milton Keynes
Tried to build a side hustle?
Launched a dropshipping store, flipped crypto, traded stocks?
Whether it worked or not, it proves something most people never show—commercial hunger and the will to bet on yourself.
That’s the mindset we’re looking for. You don’t need market knowledge. Everything here is learnable. What’s not teachable is resilience, speed of learning, and the obsession to win.
We partner with hedge funds and trading firms that exist to win at the highest level. To build their teams, we need people who can think, learn, and compete the same way.
What you’ll step into:
- Colleagues who average 4x industry performance - and expect you to raise the average.
- Exposure to billion-dollar clients and high-stakes hires ($500k - $multi million packages).
- Earnings that track to over performance, not tenure - £70k–£100k+ in year one for those who deliver.
- A direct path from trainee to running your own book of business, no speed bumps.
Who we’ll consider:
- Proven B2B sales exposure - consultative, complex, not transactional.
- Track record of winning under pressure in any domain.
- Fast learner who turns knowledge into action.
- Relentless drive, high emotional intelligence, zero quit.
This isn’t just a job. It’s a proving ground.
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0
Quantitative Analyst - Financial Markets
WV1 2BB Wolverhampton, West Midlands
£70000 Annually
WhatJobs
Posted 4 days ago
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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:
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.
- 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.
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1
Quantitative Analyst - Financial Markets
M1 1AA Manchester, North West
£75000 Annually
WhatJobs
Posted 4 days ago
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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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2
Senior Investment Analyst - Financial Markets
AB10 1AA Aberdeen, Scotland
£60000 Annually
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Posted today
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Our client, a prestigious investment management firm, is seeking an experienced Senior Investment Analyst with a strong background in financial markets analysis. This pivotal role will involve in-depth research, valuation, and strategic recommendation for a diverse portfolio of assets. The ideal candidate will possess exceptional analytical skills, a deep understanding of financial instruments, and a proven track record of generating strong investment performance.
Key Responsibilities:
Key Responsibilities:
- Conduct thorough fundamental and quantitative analysis of publicly traded companies, fixed income securities, and alternative investments.
- Develop complex financial models to forecast earnings, value securities, and assess investment risks.
- Monitor macroeconomic trends, industry developments, and geopolitical events impacting financial markets.
- Formulate investment recommendations and present them clearly and persuasively to the investment committee and portfolio managers.
- Maintain relationships with company management, industry experts, and sell-side analysts.
- Perform due diligence on potential investments and contribute to asset allocation decisions.
- Track portfolio performance and attribution, identifying key drivers of returns and risks.
- Stay abreast of regulatory changes and market best practices in investment management.
- Mentor junior analysts and contribute to the team's intellectual capital.
- Contribute to the development and refinement of investment strategies.
- Master's degree in Finance, Economics, Mathematics, or a related quantitative field. CFA charterholder or progress towards it is highly desirable.
- Minimum of 5-7 years of relevant experience in investment analysis, equity research, or portfolio management.
- Demonstrated expertise in financial modeling, valuation techniques, and statistical analysis.
- Strong understanding of various asset classes, financial instruments, and market dynamics.
- Proficiency in financial databases (e.g., Bloomberg, Refinitiv) and analytical software.
- Excellent written and verbal communication skills, with the ability to present complex information concisely.
- Strong critical thinking, problem-solving, and decision-making abilities.
- Ability to work effectively under pressure and manage multiple priorities in a demanding environment.
- High level of integrity and a commitment to ethical investment practices.
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3
Senior Quantitative Analyst (Financial Markets)
NE1 4ST Newcastle upon Tyne, North East
£70000 Annually
WhatJobs
Posted 2 days ago
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Our client, a prestigious international bank, is seeking an accomplished Senior Quantitative Analyst to join their high-calibre Financial Markets team in **Newcastle upon Tyne**. This role is critical for developing and implementing sophisticated quantitative models used for pricing, risk management, and trading strategies across various asset classes. You will work within a collaborative environment, leveraging cutting-edge technology and data analytics to provide critical insights and support complex financial decisions. This position requires a strong mathematical and statistical background, excellent programming skills, and a deep understanding of financial markets.
Key Responsibilities:
Key Responsibilities:
- Develop, implement, and validate quantitative models for pricing complex financial derivatives (e.g., options, swaps, futures).
- Design and build models for risk management, including market risk, credit risk, and counterparty risk assessment.
- Conduct statistical analysis of market data to identify trading opportunities and inform hedging strategies.
- Collaborate with trading desks, risk management, and IT teams to deploy and maintain quantitative models.
- Develop efficient algorithms and robust software solutions for real-time pricing and risk calculations.
- Perform back-testing and sensitivity analysis of models to assess their performance and limitations.
- Stay abreast of regulatory requirements and ensure model compliance (e.g., Basel III/IV, FRTB).
- Document models thoroughly, including assumptions, methodologies, and validation results.
- Mentor junior quantitative analysts and contribute to the team's technical development.
- Research and propose innovative quantitative techniques and tools to enhance existing models and develop new capabilities.
- Master's degree or PhD in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- A minimum of 6 years of experience in quantitative analysis within investment banking, asset management, or financial services.
- Strong proficiency in programming languages such as Python, C++, R, or Java.
- Expertise in statistical modelling, time series analysis, stochastic calculus, and numerical methods.
- Deep understanding of financial derivatives, fixed income, equities, or FX markets.
- Experience with risk management frameworks and regulatory requirements in financial services.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work effectively under pressure and manage multiple projects concurrently.
- Experience with data visualisation tools is a plus.
- Strong attention to detail and a commitment to accuracy in model development and implementation.
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4
Senior Quantitative Analyst - Financial Markets
NR2 6AG Norwich, Eastern
£75000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a distinguished financial institution, is seeking a highly analytical and skilled Senior Quantitative Analyst to join their trading and risk management division. This critical role, located in Norwich, Norfolk, UK , will focus on developing, implementing, and refining sophisticated quantitative models for pricing, risk management, and trading strategies across various financial markets. The ideal candidate will possess a strong mathematical and statistical background, combined with practical experience in the financial industry.
Key responsibilities include designing and back-testing quantitative trading algorithms, developing statistical models for risk assessment, and contributing to the pricing of complex financial derivatives. You will work closely with traders, portfolio managers, and risk officers to provide quantitative insights and support trading decisions. This role requires proficiency in programming languages such as Python, R, or C++, and experience with large datasets. The Senior Quantitative Analyst will be responsible for maintaining and improving existing models, as well as researching and implementing new methodologies. A deep understanding of financial markets, including equities, fixed income, and derivatives, is essential. The ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences is crucial. This position offers an exciting opportunity to contribute to cutting-edge financial research and development within a dynamic and intellectually stimulating environment. We are looking for an individual with a passion for quantitative finance and a desire to drive innovation in financial modelling.
Qualifications and Experience:
Key responsibilities include designing and back-testing quantitative trading algorithms, developing statistical models for risk assessment, and contributing to the pricing of complex financial derivatives. You will work closely with traders, portfolio managers, and risk officers to provide quantitative insights and support trading decisions. This role requires proficiency in programming languages such as Python, R, or C++, and experience with large datasets. The Senior Quantitative Analyst will be responsible for maintaining and improving existing models, as well as researching and implementing new methodologies. A deep understanding of financial markets, including equities, fixed income, and derivatives, is essential. The ability to communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences is crucial. This position offers an exciting opportunity to contribute to cutting-edge financial research and development within a dynamic and intellectually stimulating environment. We are looking for an individual with a passion for quantitative finance and a desire to drive innovation in financial modelling.
Qualifications and Experience:
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 5 years of relevant experience in quantitative finance, risk management, or algorithmic trading.
- Strong programming skills in Python, R, C++, or similar languages.
- Proven experience in developing and implementing statistical and machine learning models.
- In-depth knowledge of financial markets, derivatives pricing, and risk management techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and as part of a collaborative team.
- Strong communication and presentation skills, with the ability to explain complex concepts.
- Experience with financial databases (e.g., Bloomberg, Refinitiv) is a plus.
- Familiarity with large-scale data processing and big data technologies.
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5
Senior Data Scientist - Financial Markets
EC2M 1AA London, London
£80000 Annually
WhatJobs
Posted 2 days ago
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Our client, a prominent global investment firm, is seeking a highly skilled and analytical Senior Data Scientist to join their innovative team. This is a fully remote role, offering the chance to leverage advanced data techniques to drive insights within financial markets, working from anywhere in the UK.
Responsibilities:
Responsibilities:
- Develop and implement sophisticated statistical models and machine learning algorithms to analyse large, complex datasets related to financial markets.
- Extract, clean, and transform data from various sources, ensuring data integrity and quality.
- Design and conduct A/B tests and other experiments to evaluate the effectiveness of models and strategies.
- Identify key trends, patterns, and insights within financial data to inform investment decisions and risk management.
- Collaborate with quantitative analysts, traders, and portfolio managers to understand their data needs and deliver actionable solutions.
- Build and maintain data pipelines, and contribute to the development of data infrastructure.
- Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
- Stay abreast of the latest advancements in data science, machine learning, and financial technology.
- Mentor junior data scientists and contribute to the growth of the data science function.
- Ensure all analytical work adheres to regulatory requirements and ethical standards within the financial industry.
- Develop predictive models for market movements, risk assessment, and customer behaviour.
- Master's or PhD in a quantitative field such as Statistics, Mathematics, Computer Science, Physics, or Economics.
- Proven experience (5+ years) as a Data Scientist, with a strong focus on financial markets or quantitative finance.
- Proficiency in programming languages such as Python or R, and expertise in relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and NoSQL databases, and big data technologies (e.g., Spark, Hadoop).
- Strong understanding of statistical modelling, machine learning techniques, and experimental design.
- Familiarity with financial instruments, market microstructure, and trading strategies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to diverse audiences.
- Ability to work independently and proactively in a remote setting.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
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6
Senior Quantitative Analyst - Financial Markets
WV1 1ST Wolverhampton, West Midlands
£70000 Annually
WhatJobs
Posted 4 days ago
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Job Description
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:
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.
- 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.
This advertiser has chosen not to accept applicants from your region.
7
Senior Quantitative Analyst - Financial Markets
BN1 2GU East Sussex, South East
£90000 Annually
WhatJobs
Posted 4 days ago
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Job Description
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:
Qualifications:
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**.
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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8
Senior Data Scientist - Financial Markets
NE1 4EQ Newcastle upon Tyne, North East
£75000 Annually
WhatJobs
Posted 4 days ago
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Job Description
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.
- 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 advertiser has chosen not to accept applicants from your region.
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