1,577 Financial Markets jobs in the United Kingdom

Senior Account Manager – Financial Markets

• Competitive basic salary + uncapped commission
• City of London - Hybrid (3 days in, 2 days WFH)

Our client is looking for a Senior Account Manager to take ownership of a portfolio of key clients, working with some of the most influential players in banking, hedge funds, and asset management. This isn’t just about renewals - it’s about strategically growing accounts, spotting new opportunities, and driving meaningful revenue growth.

About the role:

• Managing and expanding a book of high-value accounts.
• Driving new business within existing clients and ensuring strong renewal rates.
• Designing and executing outreach strategies with marketing and SDR support.
• Prospecting, networking, and taking opportunities from first contact to close.
• Staying ahead of market trends and leading conversations around new product roll-outs.
• Traveling internationally when required to meet clients and build deeper relationships.

Requirements:

• 2-3+ years of closing experience in a sales or account management role.
• Background in subscription sales and/or financial services.
• Confident self-starter with a true “hunter” mentality.
• Strong communicator - both written and verbal - who can engage senior stakeholders.
• Highly organised, commercially minded, and motivated by results.
• A team player who thrives in a high-growth, fast-paced environment.

What they offer:

• Strong track record of growth - 30% year-on-year for the last 4 years.
• Realistic and achievable OTE, with the majority of the team exceeding targets.
• Clear career path to senior leadership with promotions tied to performance.
• International travel opportunities depending on client base.
• Regular incentives, team socials, and recognition for success.

Senior Account Manager – Financial Markets

• Competitive basic salary + uncapped commission
• City of London - Hybrid (3 days in, 2 days WFH)

Our client is looking for a Senior Account Manager to take ownership of a portfolio of key clients, working with some of the most influential players in banking, hedge funds, and asset management. This isn’t just about renewals - it’s about strategically growing accounts, spotting new opportunities, and driving meaningful revenue growth.

About the role:

• Managing and expanding a book of high-value accounts.
• Driving new business within existing clients and ensuring strong renewal rates.
• Designing and executing outreach strategies with marketing and SDR support.
• Prospecting, networking, and taking opportunities from first contact to close.
• Staying ahead of market trends and leading conversations around new product roll-outs.
• Traveling internationally when required to meet clients and build deeper relationships.

Requirements:

• 2-3+ years of closing experience in a sales or account management role.
• Background in subscription sales and/or financial services.
• Confident self-starter with a true “hunter” mentality.
• Strong communicator - both written and verbal - who can engage senior stakeholders.
• Highly organised, commercially minded, and motivated by results.
• A team player who thrives in a high-growth, fast-paced environment.

What they offer:

• Strong track record of growth - 30% year-on-year for the last 4 years.
• Realistic and achievable OTE, with the majority of the team exceeding targets.
• Clear career path to senior leadership with promotions tied to performance.
• International travel opportunities depending on client base.
• Regular incentives, team socials, and recognition for success.

• Develop, test, and implement sophisticated quantitative models for pricing, hedging, and risk management of financial derivatives.
• Design and backtest algorithmic trading strategies across multiple asset classes.
• Conduct in-depth statistical analysis of market data to identify trading opportunities and patterns.
• Collaborate with traders, portfolio managers, and risk managers to understand their quantitative needs and provide solutions.
• Ensure the accuracy, robustness, and scalability of developed models and systems.
• Write efficient and well-documented code in languages such as Python, C++, or R.
• Stay abreast of the latest advancements in quantitative finance, machine learning, and statistical modeling.
• Analyze and interpret complex datasets, providing actionable insights to the trading desk.
• Contribute to the development and maintenance of the firm's quantitative infrastructure.
• Mentor junior quantitative analysts and contribute to team knowledge sharing.

• Master's or Ph.D. in a highly quantitative field such as Mathematics, Physics, Computer Science, Statistics, or Financial Engineering.
• Minimum of 5 years of experience as a quantitative analyst or in a similar quantitative role within the financial services industry.
• Proven experience in developing and implementing pricing and risk models for derivatives.
• Strong proficiency in programming languages like Python, C++, R, or Java.
• Expertise in statistical modeling, time series analysis, and machine learning techniques.
• Deep understanding of financial markets, instruments, and trading strategies.
• Excellent analytical and problem-solving skills.
• Strong communication skills, with the ability to explain complex quantitative concepts to non-technical audiences.
• Ability to work independently and manage multiple projects in a remote setting.

• Develop, implement, and maintain quantitative models for pricing, risk management, and trading.
• Perform complex statistical and econometric analysis of financial market data.
• Design and backtest trading algorithms and strategies.
• Develop and implement risk management frameworks and metrics.
• Collaborate with trading desks and portfolio managers to provide quantitative insights.
• Research and apply new quantitative techniques and technologies.
• Ensure the accuracy and robustness of implemented models.
• Document quantitative methodologies and results clearly.
• Contribute to the development of the firm's quantitative research capabilities.

• Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Minimum of 5 years of experience as a Quantitative Analyst in the financial industry.
• Strong knowledge of financial derivatives, fixed income, or equities markets.
• Expertise in stochastic calculus, time series analysis, and numerical methods.
• Proficiency in programming languages such as Python, C++, or R, and relevant libraries.
• Experience with statistical modeling, machine learning, and data analysis techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.
• Proven ability to work independently and collaboratively in a remote setting.
• Experience with large datasets and database technologies is a plus.

• Develop and implement sophisticated quantitative models and algorithms for trading strategies, risk management, and derivative pricing.
• Analyse large datasets to identify market patterns, inefficiencies, and investment opportunities.
• Collaborate closely with traders and portfolio managers to understand their needs and translate them into quantitative solutions.
• Design and conduct backtesting and simulation studies to validate model performance and identify potential risks.
• Write high-quality, efficient, and maintainable code in languages such as Python, C++, or R.
• Stay abreast of the latest research and developments in quantitative finance, machine learning, and data science.
• Contribute to the development and improvement of the firm's quantitative infrastructure and tools.
• Communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences.
• Ensure compliance with regulatory requirements and internal policies.
• Mentor junior quantitative analysts and contribute to the team's overall knowledge base.

• Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Minimum of 5-7 years of experience in a quantitative role within investment banking, asset management, or hedge funds.
• Proficiency in programming languages widely used in quantitative finance (e.g., Python, C++, R, SQL).
• Deep understanding of financial markets, instruments, and derivatives.
• Expertise in statistical modelling, machine learning, and data analysis techniques.
• Strong ability to develop, test, and deploy quantitative models.
• Excellent problem-solving, analytical, and critical thinking skills.
• Effective communication and interpersonal skills, with the ability to work collaboratively in a remote team environment.
• Experience with high-frequency trading strategies and infrastructure is a plus.
• A strong sense of intellectual curiosity and a passion for innovation in finance.

• Develop, test, and deploy sophisticated quantitative models for financial derivatives pricing, risk assessment, and portfolio optimization.
• Design and implement algorithms for high-frequency trading and algorithmic trading strategies.
• Perform rigorous statistical analysis and back-testing of trading strategies.
• Collaborate closely with traders, portfolio managers, and risk managers to understand their needs and provide data-driven insights.
• Develop tools and systems for risk monitoring, P&L attribution, and performance analysis.
• Ensure the accuracy, stability, and scalability of all quantitative models and systems.
• Stay abreast of the latest advancements in quantitative finance, machine learning, and data science.
• Maintain and enhance existing trading and risk models.
• Communicate complex technical concepts and findings clearly to both technical and non-technical stakeholders.
• Contribute to the development of new trading technologies and platforms.
• Ensure compliance with regulatory requirements and internal policies.

• Develop, implement, and maintain sophisticated quantitative models for pricing, hedging, and risk management of financial instruments.
• Design and back-test trading algorithms and strategies based on quantitative insights.
• Conduct rigorous statistical analysis of market data to identify patterns and opportunities.
• Validate model performance, conduct stress testing, and ensure model compliance with regulatory requirements.
• Collaborate with traders and portfolio managers to provide quantitative support and insights for investment decisions.
• Develop tools and systems to automate trading processes and improve operational efficiency.
• Work closely with IT and technology teams to integrate quantitative models into production systems.
• Research and stay current with the latest advancements in quantitative finance, econometrics, and computational methods.
• Prepare clear documentation and presentations explaining complex models and findings to technical and non-technical audiences.
• Contribute to the firm's intellectual capital in quantitative finance.

• Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Minimum of 5-7 years of experience in quantitative analysis within investment banking, hedge funds, or asset management.
• Expert proficiency in programming languages such as Python, C++, R, or MATLAB.
• Strong knowledge of financial derivatives, fixed income, equities, and other asset classes.
• Deep understanding of statistical modeling, time series analysis, stochastic calculus, and machine learning techniques.
• Experience with risk management frameworks and regulatory requirements (e.g., Basel III).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain complex concepts effectively.
• Ability to work under pressure in a fast-paced trading environment.

• Develop, implement, and validate quantitative models for pricing derivatives, risk management, and algorithmic trading.
• Analyze large datasets to identify market trends, patterns, and investment opportunities.
• Design and backtest trading strategies using historical and real-time market data.
• Collaborate with traders, portfolio managers, and risk managers to provide quantitative insights and solutions.
• Ensure the accuracy, efficiency, and robustness of quantitative models and systems.
• Stay abreast of the latest developments in financial engineering, econometrics, and computational finance.
• Write high-quality, maintainable code in languages such as Python, C++, or R.
• Contribute to the development of quantitative research methodologies and frameworks.
• Communicate complex quantitative concepts clearly and concisely to both technical and non-technical stakeholders.
• Perform ad-hoc quantitative analysis and research as required by the business.
• Contribute to regulatory compliance and reporting efforts related to quantitative models.

• Master's degree or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Computer Science, or Statistics.
• Minimum of 5 years of relevant experience in quantitative analysis within the financial services industry.
• Proven experience in developing and implementing financial models for pricing, risk management, or trading.
• Strong proficiency in programming languages (Python, C++, R) and relevant libraries (e.g., NumPy, SciPy, Pandas).
• Deep understanding of stochastic calculus, time series analysis, and statistical modeling.
• Knowledge of financial markets, derivatives, and fixed income instruments.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation abilities.
• Ability to work independently and manage multiple projects in a remote environment.
• Experience with large-scale data analysis and high-performance computing is a plus.
• Familiarity with machine learning techniques applied to finance is desirable.