50 Economy jobs in the United Kingdom

Our client's Nature Recovery team is looking for a Head of Nature Economy and Business Development to develop and deliver an integrated advisory offer with a focus on nature economy markets and grow their ecological consultancy, so it continues to provide a vital income stream for the organisation.

Head of Nature Economy and Business Development
Salary : £43,440 - £48,749 per annum
Contract  type : Permanent
Working hours : Full time
Location : Norwich, Norfolk, NR1

About The Employer

Our client is Norfolk's largest environmental charity, working for the protection and enhancement of Norfolk’s wildlife and wild places. The organisation protects and restores the county's wild spaces by managing their nature reserves, working in partnership throughout the landscape and inspiring people to enjoy and care for Norfolk's nature through projects, education activities, events and campaigns.

The Role

This impactful and dynamic role will help the charity to scale up their nature recovery work and increase the area of land managed and restored for nature across Norfolk, therefore contributing to the national aim of 30% of the UK’s land and sea managed for nature by 2030.

You will lead the charity's consultancy business that offers a comprehensive range of professional ecological and arboricultural services with profits invested back into the organisation to enable its vital work to continue.

The emergence of the nature economy offers the potential for significant private investment, and you will lead the organisation's journey into the nature market sphere where diverse financing opportunities will give the charity the ability to deliver nature recovery at scale.

This is an exciting time to join our client in this new role that will have significant impact in helping to tackle the nature and climate crisis we face today.

In return, the organisation offer a competitive benefits package.

The closing date for applications is 5pm on Monday 3rd November.

Interested?

Please click the job board apply button to be taken to the next stage where you can find out more information and complete your application by following the instructions (you may need to scroll down).

No agencies please.

Our client's Nature Recovery team is looking for a Head of Nature Economy and Business Development to develop and deliver an integrated advisory offer with a focus on nature economy markets and grow their ecological consultancy, so it continues to provide a vital income stream for the organisation.

Head of Nature Economy and Business Development
Salary : £43,440 - £48,749 per annum
Contract  type : Permanent
Working hours : Full time
Location : Norwich, Norfolk, NR1 1RY

About The Employer

Our client is Norfolk's largest environmental charity, working for the protection and enhancement of Norfolk's wildlife and wild places. The organisation protects and restores the county's wild spaces by managing their nature reserves, working in partnership throughout the landscape and inspiring people to enjoy and care for Norfolk's nature through projects, education activities, events and campaigns.

The Role

This impactful and dynamic role will help the charity to scale up their nature recovery work and increase the area of land managed and restored for nature across Norfolk, therefore contributing to the national aim of 30% of the UK's land and sea managed for nature by 2030.

You will lead the charity's consultancy business that offers a comprehensive range of professional ecological and arboricultural services with profits invested back into the organisation to enable its vital work to continue.

The emergence of the nature economy offers the potential for significant private investment, and you will lead the organisation's journey into the nature market sphere where diverse financing opportunities will give the charity the ability to deliver nature recovery at scale.

This is an exciting time to join our client in this new role that will have significant impact in helping to tackle the nature and climate crisis we face today.

In return, the organisation offer a competitive benefits package.

The closing date for applications is 5pm on Monday 3rd November.

Interested?

To apply, please click the apply button. You will be taken to a simple CHM Recruit form where you can find out more information and complete your application by following the instructions.

No agencies please.

The Research Associate will be hosted by and managed at King’s Business School (King’s College London). King’s Business School is part of an internationally renowned university with a track record of pioneering thinking, and has the limitless energies of London’s businesses, policymakers, entrepreneurs and change-makers to draw on.

The successful candidate will be working with Prof Andrea Mennicken on the international project “Between Economy and Democracy: Reorganising Research Evaluation through Metadata in the Digital Era”, funded by the Open Research Area 8 Initiative through SSHRC (Canada), ESRC (UK), ANR (France), and DFG (Germany). The advertised role is funded by the Economic and Social Research Council (ESRC). The Research Associate will work directly with Prof Mennicken on the UK part of the project and will also collaborate with the other project partners: Prof Didier Torny (Mines Paris PSL, France), Prof Kean Birch (York University, Canada), Dr Anne Krüger (Weizenbaum Institute, Germany), and Dr Stephan Stahlschmidt (DZHW, Germany).

The successful candidate will be appointed as soon as possible and employed until the conclusion of the project. The current projected end date is 31 January 2028, with a likely extension of three months.

The Research Associate will contribute to a comparative study examining the roles and relevance of open versus commercial digital research information infrastructures in the practices of research evaluation and their governance.

The project the Research Associate will work for pursues the following core research question: How do open and commercial digital research information infrastructures reorganise research evaluation practices in the field of tension between economy and democracy? More specifically, it examines: (i) the motivations and aspirations underlying the development of commercial versus open digital research information infrastructures shaping metadata and data analytic functionalities; (ii) how commercial and open digital research information infrastructures, and the metadata and analytics they provide, feed into different national, organisational, and disciplinary research evaluation processes and with what effects; and (iii) how different open and commercial research information infrastructure providers are entangled with each other and their users.

The Research Associate will be responsible for the following kinds of task and activity in the project: literature reviews; primary and secondary data collection; interviewing informants; qualitative data analysis; presenting research at events; writing up research for publication; writing up research for policy and stakeholder audiences; developing and maintaining a project website and social media presence (e.g. LinkedIn); helping to organise events; and other activities as required.

Interviews are due to be held early November 2025

This is for 1 full time (35 Hours per week) role, and the successful candidate will be offered a fixed term contract until 31 January 2028, with a start date as soon as possible.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

1. PhD in science and technology studies, sociology, information systems, organisation studies, policy studies, or another related field (we will consider candidates who are near completion of their PhD studies, e.g. have submitted their PhD dissertation, and are waiting to have their viva defence)*
2. Research experience with (i) organising and conducting interviews and (ii) qualitative approaches to data analysis and theory building
3. Strong theoretical interest in areas relating to: STS, research evaluation, critical digital/data studies, sociology of calculative practices, or assetisation
4. Excellent oral and written communication skills

Desirable criteria

1. Research expertise in the study of practices of research evaluation or the broader field of critical digital/data studies
2. Knowledge of the UK landscape of research evaluation and regulation

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. 

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

Interviews are due to be held early November 2025

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.