5 Chief Economist jobs in the United Kingdom
Senior Quantitative Analyst (Financial Modeling)
Posted today
Job Viewed
Job Description
Responsibilities:
- Develop, test, and implement complex mathematical and statistical models for financial risk assessment, asset valuation, and portfolio optimization.
- Design and build pricing models for various financial instruments, including derivatives and structured products.
- Conduct rigorous backtesting and validation of models to ensure accuracy and robustness.
- Collaborate with trading desks, portfolio managers, and risk management teams to understand their analytical needs and provide tailored solutions.
- Translate business requirements into technical specifications for model development.
- Write clean, efficient, and well-documented code in languages such as Python, R, or C++.
- Analyze large datasets to identify trends, patterns, and insights relevant to financial markets.
- Stay current with industry best practices, regulatory changes, and emerging quantitative techniques.
- Prepare comprehensive documentation of models, methodologies, and results.
- Communicate complex quantitative concepts clearly and concisely to both technical and non-technical audiences.
- Contribute to the development of trading strategies and risk management frameworks.
- Mentor junior quantitative analysts and contribute to the team's knowledge sharing.
- Master's or PhD in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Computer Science.
- Minimum of 5 years of relevant experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Expertise in developing and implementing models for pricing, risk, or trading.
- Proficiency in programming languages such as Python, R, C++, or MATLAB.
- Strong understanding of financial markets, instruments, and derivatives.
- Excellent analytical, problem-solving, and statistical modeling skills.
- Ability to work effectively in a hybrid work environment, balancing remote and in-office responsibilities.
- Strong written and verbal communication skills.
- Experience with big data technologies and machine learning techniques is a plus.
Senior Quantitative Analyst, Financial Modeling
Posted today
Job Viewed
Job Description
The ideal candidate will possess a strong academic background in a quantitative discipline, coupled with extensive practical experience in financial modeling, statistical analysis, and programming. You will be adept at using languages such as Python, R, or C++ to build, test, and deploy predictive models for asset pricing, portfolio optimization, and risk assessment. Collaboration with portfolio managers, traders, and risk officers will be essential, requiring clear communication of intricate quantitative concepts through virtual channels.
Key Responsibilities:
- Develop, validate, and implement sophisticated quantitative models for financial markets.
- Conduct in-depth statistical analysis and data mining of large financial datasets.
- Design and test trading algorithms and investment strategies.
- Perform risk analysis and develop risk management models.
- Collaborate with portfolio managers and traders to provide quantitative insights.
- Optimize existing models for performance and accuracy.
- Stay abreast of the latest developments in quantitative finance and econometrics.
- Write clean, efficient, and well-documented code in languages like Python, R, or C++.
- Present complex quantitative findings to stakeholders in a clear and understandable manner.
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Computer Science.
- Minimum of 7 years of experience in quantitative analysis within the financial services industry.
- Proven expertise in financial modeling, time-series analysis, and statistical techniques.
- Strong programming skills in Python, R, C++, or similar languages.
- Experience with financial data vendors (e.g., Bloomberg, Refinitiv) and databases.
- Knowledge of derivatives pricing, risk management, and portfolio optimization.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities, effective in a remote team environment.
- Ability to work independently and manage multiple projects simultaneously.
Enterprise Data - Sales Specialist - Research & Data Science, Financial Solutions

Posted 11 days ago
Job Viewed
Job Description
Location
London
Business Area
Sales and Client Service
Ref #
**Description & Requirements**
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team
We're Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - we're an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. You'll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
Bloomberg Enterprise Data - fast-paced, innovative, and expanding. We work closely with our clients to understand their unique businesses and their evolving data and technology needs. With an extensive range of datasets covering all asset types, multiple delivery technologies, and flexible scheduling options, our clients can access exactly the data they need, when they need it, and in the format they prefer. Quite simply, without us, they can't operate.
What's the Role?
We are looking for a Sales Specialist to join our team, responsible for driving revenue across Bloomberg's Enterprise Data product suite, with a specific focus on Quantitative Research and Data Science workflows.
Quantitative investing is undergoing a rapid transformation. Once the domain of the most sophisticated hedge funds, data science and quant techniques are now being adopted at scale by major asset managers and traditional firms across both the buy side and sell side. This new wave of innovation - powered by greater data availability, increased computing capacity, and advanced techniques - is reshaping the investment landscape and introducing fresh challenges and opportunities.
This role offers a unique opportunity to work with a dynamic, collaborative team, positioning Bloomberg's market-leading content and technology at the heart of modern research and quant strategies. You'll be at the intersection of financial innovation and data-driven investing.
We'll Trust You To:
+ Link market trends and client workflows to clearly articulate the value of Bloomberg's Enterprise and Research data products
+ Serve as a consultative partner to quantitative researchers, data scientists, and portfolio managers, helping them discover and integrate Bloomberg data into alpha-generating workflows
+ Partner with internal product and engineering teams to represent client feedback and influence product development
+ Lead sales and retention efforts for Bloomberg's Research and Data Science dataset offerings
+ Build and execute sales strategies in collaboration with enterprise sales, account management, and solutions teams
+ Validate client workflows and coordinate the appropriate technical and sales resources
+ Help educate internal colleagues on how to identify and engage Quant-related sales opportunities
+ Collaborate across business units to deliver value-added solutions tailored to client needs
+ Contribute innovative ideas that anticipate client challenges and drive strategic value
+ Maintain frequent client and prospect interaction through meetings, workshops, and on-site visits
+ Participate actively in cross-functional projects that support departmental and firm-wide initiatives
+ Seek out opportunities to mentor, contribute to training efforts, lead sales campaigns, or provide feedback for product enhancements
We'll Need You to Have:
+ A minimum of 5 years' experience in financial services, ideally within a data, technology, or commercial role
+ Proven consultative sales skills, including market research, lead generation, business development, and deal closing
+ The ability to communicate complex technical solutions clearly and persuasively to a variety of audiences
+ Strong presentation, communication, and training skills in English
+ A deep understanding of client business models and data needs across research, quant, and trading functions
+ A track record of managing and developing relationships at a senior level, including with CxO stakeholders
+ Demonstrable knowledge of quantitative finance, research workflows, and the data science ecosystem
+ Familiarity with alpha modeling, signal construction, portfolio analytics, and modern investment strategies
+ Exposure to modern programming languages (e.g. Python, R) and environments like Jupyter Notebooks
+ A solution-oriented mindset and the ability to thrive in a fast-moving environment
+ A strong desire to learn, adapt, and continuously grow both commercially and technically
+ Based in London, with a willingness to travel as needed
We'd Love to See:
+ Passion for innovation and building the future of Enterprise Solutions at Bloomberg
+ Understanding of how machine learning and AI are being applied in financial markets
+ Experience working with Research data or Alternative data sets
+ Fluency in one or more European languages (especially French, Italian, or German)
+ Coming from the Client Side? Even Better.
If you've worked with Bloomberg data or tools as a quant, data scientist, or portfolio manager - we'd love to hear from you. Your insight into how this data is used in practice is exactly what we value in this role.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Enterprise Data u2013 Sales Specialist u2013 Research & Data Science,Financial Solutions
Posted 11 days ago
Job Viewed
Job Description
Location
London
Business Area
Sales and Client Service
Ref #
**Description & Requirements**
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team
Weu2019re Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - weu2019re an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. Youu2019ll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
Bloomberg Enterprise Data u2014 fast-paced, innovative, and expanding. We work closely with our clients to understand their unique businesses and their evolving data and technology needs. With an extensive range of datasets covering all asset types, multiple delivery technologies, and flexible scheduling options, our clients can access exactly the data they need, when they need it, and in the format they prefer. Quite simply, without us, they canu2019t operate.
Whatu2019s the Role?
We are looking for a Sales Specialist to join our team, responsible for driving revenue across Bloombergu2019s Enterprise Data product suite, with a specific focus on Quantitative Research and Data Science workflows.
Quantitative investing is undergoing a rapid transformation. Once the domain of the most sophisticated hedge funds, data science and quant techniques are now being adopted at scale by major asset managers and traditional firms across both the buy side and sell side. This new wave of innovation u2014 powered by greater data availability, increased computing capacity, and advanced techniques u2014 is reshaping the investment landscape and introducing fresh challenges and opportunities.
This role offers a unique opportunity to work with a dynamic, collaborative team, positioning Bloombergu2019s market-leading content and technology at the heart of modern research and quant strategies. You'll be at the intersection of financial innovation and data-driven investing.
Weu2019ll Trust You To:
Link market trends and client workflows to clearly articulate the value of Bloombergu2019s Enterprise and Research data products
Serve as a consultative partner to quantitative researchers, data scientists, and portfolio managers, helping them discover and integrate Bloomberg data into alpha-generating workflows
Partner with internal product and engineering teams to represent client feedback and influence product development
Lead sales and retention efforts for Bloombergu2019s Research and Data Science dataset offerings
Build and execute sales strategies in collaboration with enterprise sales, account management, and solutions teams
Validate client workflows and coordinate the appropriate technical and sales resources
Help educate internal colleagues on how to identify and engage Quant-related sales opportunities
Collaborate across business units to deliver value-added solutions tailored to client needs
Contribute innovative ideas that anticipate client challenges and drive strategic value
Maintain frequent client and prospect interaction through meetings, workshops, and on-site visits
Participate actively in cross-functional projects that support departmental and firm-wide initiatives
Seek out opportunities to mentor, contribute to training efforts, lead sales campaigns, or provide feedback for product enhancements
Weu2019ll Need You to Have:
A minimum of 5 years' experience in financial services, ideally within a data, technology, or commercial role
Proven consultative sales skills, including market research, lead generation, business development, and deal closing
The ability to communicate complex technical solutions clearly and persuasively to a variety of audiences
Strong presentation, communication, and training skills in English
A deep understanding of client business models and data needs across research, quant, and trading functions
A track record of managing and developing relationships at a senior level, including with CxO stakeholders
Demonstrable knowledge of quantitative finance, research workflows, and the data science ecosystem
Familiarity with alpha modeling, signal construction, portfolio analytics, and modern investment strategies
Exposure to modern programming languages (e.g. Python, R) and environments like Jupyter Notebooks
A solution-oriented mindset and the ability to thrive in a fast-moving environment
A strong desire to learn, adapt, and continuously grow both commercially and technically
Based in London, with a willingness to travel as needed
Weu2019d Love to See:
Passion for innovation and building the future of Enterprise Solutions at Bloomberg
Understanding of how machine learning and AI are being applied in financial markets
Experience working with Research data or Alternative data sets
Fluency in one or more European languages (especially French, Italian, or German)
Coming from the Client Side? Even Better.
If youu2019ve worked with Bloomberg data or tools as a quant, data scientist, or portfolio manager u2014 weu2019d love to hear from you. Your insight into how this data is used in practice is exactly what we value in this role.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Enterprise Data u2013 Sales Specialist u2013 Research & Data Science,Financial Solutions
Posted 11 days ago
Job Viewed
Job Description
Location
London
Business Area
Sales and Client Service
Ref #
**Description & Requirements**
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team
Weu2019re Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - weu2019re an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. Youu2019ll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
Bloomberg Enterprise Data u2014 fast-paced, innovative, and expanding. We work closely with our clients to understand their unique businesses and their evolving data and technology needs. With an extensive range of datasets covering all asset types, multiple delivery technologies, and flexible scheduling options, our clients can access exactly the data they need, when they need it, and in the format they prefer. Quite simply, without us, they canu2019t operate.
Whatu2019s the Role?
We are looking for a Sales Specialist to join our team, responsible for driving revenue across Bloombergu2019s Enterprise Data product suite, with a specific focus on Quantitative Research and Data Science workflows.
Quantitative investing is undergoing a rapid transformation. Once the domain of the most sophisticated hedge funds, data science and quant techniques are now being adopted at scale by major asset managers and traditional firms across both the buy side and sell side. This new wave of innovation u2014 powered by greater data availability, increased computing capacity, and advanced techniques u2014 is reshaping the investment landscape and introducing fresh challenges and opportunities.
This role offers a unique opportunity to work with a dynamic, collaborative team, positioning Bloombergu2019s market-leading content and technology at the heart of modern research and quant strategies. You'll be at the intersection of financial innovation and data-driven investing.
Weu2019ll Trust You To:
Link market trends and client workflows to clearly articulate the value of Bloombergu2019s Enterprise and Research data products
Serve as a consultative partner to quantitative researchers, data scientists, and portfolio managers, helping them discover and integrate Bloomberg data into alpha-generating workflows
Partner with internal product and engineering teams to represent client feedback and influence product development
Lead sales and retention efforts for Bloombergu2019s Research and Data Science dataset offerings
Build and execute sales strategies in collaboration with enterprise sales, account management, and solutions teams
Validate client workflows and coordinate the appropriate technical and sales resources
Help educate internal colleagues on how to identify and engage Quant-related sales opportunities
Collaborate across business units to deliver value-added solutions tailored to client needs
Contribute innovative ideas that anticipate client challenges and drive strategic value
Maintain frequent client and prospect interaction through meetings, workshops, and on-site visits
Participate actively in cross-functional projects that support departmental and firm-wide initiatives
Seek out opportunities to mentor, contribute to training efforts, lead sales campaigns, or provide feedback for product enhancements
Weu2019ll Need You to Have:
A minimum of 5 years' experience in financial services, ideally within a data, technology, or commercial role
Proven consultative sales skills, including market research, lead generation, business development, and deal closing
The ability to communicate complex technical solutions clearly and persuasively to a variety of audiences
Strong presentation, communication, and training skills in English
A deep understanding of client business models and data needs across research, quant, and trading functions
A track record of managing and developing relationships at a senior level, including with CxO stakeholders
Demonstrable knowledge of quantitative finance, research workflows, and the data science ecosystem
Familiarity with alpha modeling, signal construction, portfolio analytics, and modern investment strategies
Exposure to modern programming languages (e.g. Python, R) and environments like Jupyter Notebooks
A solution-oriented mindset and the ability to thrive in a fast-moving environment
A strong desire to learn, adapt, and continuously grow both commercially and technically
Based in London, with a willingness to travel as needed
Weu2019d Love to See:
Passion for innovation and building the future of Enterprise Solutions at Bloomberg
Understanding of how machine learning and AI are being applied in financial markets
Experience working with Research data or Alternative data sets
Fluency in one or more European languages (especially French, Italian, or German)
Coming from the Client Side? Even Better.
If youu2019ve worked with Bloomberg data or tools as a quant, data scientist, or portfolio manager u2014 weu2019d love to hear from you. Your insight into how this data is used in practice is exactly what we value in this role.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
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