171 Investment Analysis jobs in the United Kingdom
2026 Feasibility & Investment Analysis Placement
Posted 5 days ago
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Job Description
From day one, you will be fully integrated into Team Hilton. Our placements offer vast exposure and opportunities, including networking with senior executives, involvement in regional conferences and for some, international travel.
Based in our EMEA headquarters, Watford, you will be part of a cohort of 50 Interns and take part in regular connect meetings and feedback sessions designed to support your development. You will benefit from a subsidised restaurant, a games area and a free in-house gym.
**The Opportunity**
Within the Feasibility & Investment Analysis team, you directly report to the Director Feasibility & Investment Analysis, EMEA. This international team is made of highly motivated professionals coming from varied backgrounds combined with direct access to a great deal of data, knowledge and internal expertise.
The Feasibility department has a variety of missions and projects, covering a wide spectrum of industry leading brands from premium economy to high-end luxury, across the whole of EMEA. This role's core responsibility is to perform a range of support tasks for the feasibility team including desktop research, due diligence, market and financial analysis and preparation of hotel projections and valuations primarily aimed at the Development, Real Estate, Finance, and Executive Management functions.
You will be an integral part of the team and will play an active role in our continued success. Some of the more specific responsibilities you will be taking on are detailed as follows:
+ Conduct market research & support team members on projects.
+ Prepare hotel projections and valuations aimed at the Development, Real Estate, Finance & Executive Management functions.
+ Prepare performance analyses for existing and proposed hotels.
+ Prepare internal/external presentations.
+ Assist with occasional administrative tasks.
**Why choose us?**
Embarking on our year in industry programme is a transformative journey, encompassing a structured framework of learning and development activities. Here's what you can look forward to:
**Learning and Development:** Interns have access to Hilton University to enhance their skills and contribute meaningfully to ongoing projects.
**Networking:** Our interns can connect with professionals across the business, paving the way for valuable relationships.
**Feedback and Growth:** Regular evaluations and feedback sessions will ensure our interns receive guidance and an opportunity to continually improve.
**Cross-Exposure:** Opportunity to gain insight into another function.
**Hilton Perks:** Including our Go Hilton TM Travel Program, which provides you with access to heavily reduced hotel room rates for you, your family & friends.
**Salary & Benefits:** £26,000 Gross PA & private healthcare.
**Location:** EMEA Regional Headquarters, Watford. Our placements are office based with flexibility offered across some teams.
**What are we looking for?**
+ A strong sense of alignment to our culture and values.
+ A current Bachelor's or Master's student studying towards a degree with a required 12-month year in industry placement. Finance, Economics, Mathematics, Business Management or Hospitality is preferred.
+ Availability to start 13th of July 2026, full-time, for a 12-month placement.
+ Eligibility to work in the UK. If you are a non-UK national, without EU Settled or Pre-Settled Status then you will need to be studying at a UK university to be eligible to undertake a placement here.
+ Fluency in English (speaking, reading, and writing).
+ A passion for the hospitality industry and pro-active awareness of hotel/tourism market trends.
+ Familiarity with geographic hotel markets in Europe.
+ Knowledge of key international hotel brands and concepts would be preferred.
+ Ability to work with and build financial spreadsheets in Excel.
+ An additional EMEA language would be beneficial, although not essential.
**What is it like working for Hilton?**
Hilton is one of the world's largest and fastest-growing hospitality companies, with 24 distinct brands and over 8,000 locations. We have recently been ranked by our employees as #1 World's Best Hospitality Workplace awarded by Great Place to Work & Fortune.
We value and celebrate our team members diversities and individualism and foster a culture of belonging across our organisation. Joining Hilton will give you the opportunity to contribute to our rich culture and give back to the community. Our Team Member Resource Groups in the UK focus on Abilities, Generations, Pride, Women's and Ethnic representation. You can find details on our Culture page.
We are an equal opportunity employer and value diversity at our company. We will ensure that qualified individuals with protected disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions of the role. Please contact us to request accommodation.
CORPORATE PLACEMENTS ( Process**
Please apply now, applications close on **Sunday 2nd November 2025.** We receive a high volume of applications, so thank you for your patience while we carefully review each one to give it the attention it deserves.
If your application is successful, you may be invited to complete a one-way video interview and online assessment. These help us get to know you better and assess if the placement could be a great match. Keep an eye on your inbox, and we encourage you to complete each step as soon as you can. Our EMEA Graduate Recruitment Team will be in touch to let you know the outcome.
**Good luck, we are looking forward to meeting you!**
**Job:** _Universities_
**Title:** _2026 Feasibility & Investment Analysis Placement_
**Location:** _null_
**Requisition ID:** _EUR015MV_
**EOE/AA/Disabled/Veterans**
Quantitative Analyst, Financial Modeling
Posted 4 days ago
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Responsibilities:
- Develop, implement, and test sophisticated quantitative models for financial markets.
- Conduct rigorous statistical analysis and data mining on large financial datasets.
- Design and build algorithms for pricing, risk management, and algorithmic trading.
- Collaborate with business stakeholders to understand requirements and develop tailored solutions.
- Validate model assumptions and performance against market data.
- Document models, methodologies, and research findings comprehensively.
- Stay current with academic research and industry best practices in quantitative finance.
- Optimize model performance and efficiency.
- Contribute to the development of the firm's quantitative infrastructure.
- Present findings and model outputs to senior management and relevant teams.
- Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
- Demonstrable experience in quantitative modeling within the financial industry.
- Strong programming skills in Python, C++, R, or similar languages.
- Proficiency with data analysis, statistical modeling, and machine learning techniques.
- In-depth knowledge of financial markets, derivatives, and risk management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex concepts.
- Ability to work independently and manage projects effectively in a remote environment.
Quantitative Analyst - Financial Modeling
Posted 19 days ago
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Job Description
Key Responsibilities:
- Develop, validate, and implement sophisticated quantitative models for pricing derivatives, portfolio optimization, risk management, and algorithmic trading strategies.
- Conduct in-depth statistical analysis of financial market data to identify trends, patterns, and predictive insights.
- Collaborate with portfolio managers, traders, and risk officers to understand their analytical needs and deliver tailored solutions.
- Create and maintain high-quality code for quantitative models using languages such as Python, R, C++, or MATLAB.
- Back-test trading strategies and evaluate model performance rigorously.
- Contribute to the development and enhancement of the firm's quantitative infrastructure and data analytics capabilities.
- Prepare clear and concise reports and presentations to communicate complex analytical findings to both technical and non-technical audiences.
- Stay abreast of the latest academic research and industry advancements in quantitative finance and econometrics.
- Ensure compliance with regulatory requirements and internal risk management policies.
- Assist in the development and refinement of risk models, including VaR and stress testing.
- Identify opportunities for innovation and efficiency improvements in quantitative processes.
- Master's or Ph.D. in a quantitative field such as Finance, Mathematics, Statistics, Physics, Computer Science, or a related discipline.
- Proven experience (4+ years) as a Quantitative Analyst or in a similar quantitative role within the financial industry.
- Strong programming skills in at least one of the following: Python, R, C++, MATLAB.
- In-depth knowledge of financial markets, instruments, and derivative pricing models.
- Expertise in statistical modeling, time series analysis, machine learning, and data mining techniques.
- Experience with large datasets and database technologies.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Ability to work effectively both independently and as part of a collaborative, remote team.
- Familiarity with risk management frameworks and regulatory requirements (e.g., Basel) is a plus.
Head of Investment Banking Analysis
Posted 15 days ago
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Job Description
Head of Investment Banking Analysis
Posted 19 days ago
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Job Description
Senior Quantitative Analyst - Financial Modeling
Posted 3 days ago
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Job Description
Key Responsibilities:
- Develop, implement, and maintain sophisticated mathematical models for pricing and risk management of financial instruments.
- Design and validate algorithms for trading strategies, portfolio optimization, and risk exposure calculations.
- Analyze large and complex datasets to identify market trends and opportunities.
- Collaborate with trading desks, portfolio managers, and risk management teams to provide quantitative insights.
- Conduct rigorous back-testing and stress-testing of models and strategies.
- Research and apply advanced statistical techniques and numerical methods to financial problems.
- Communicate complex quantitative concepts and results clearly to both technical and non-technical audiences.
- Contribute to the development of new financial products and services.
- Ensure compliance with regulatory requirements and internal risk policies.
- Stay abreast of the latest developments in quantitative finance and financial technology.
- MSc or PhD in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or a related quantitative discipline.
- Minimum of 5 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
- Proven expertise in programming languages such as Python, C++, R, or Java.
- Strong knowledge of stochastic calculus, time series analysis, econometrics, and numerical methods.
- Experience with derivative pricing models, risk management frameworks, and portfolio optimization techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication abilities.
- Ability to work effectively in a fast-paced, team-oriented environment.
Senior Quantitative Analyst - Financial Modeling
Posted 6 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement sophisticated quantitative models for financial markets, including pricing, hedging, and risk management.
- Perform complex data analysis using statistical and machine learning techniques.
- Develop and maintain algorithms for trading strategies, portfolio optimisation, and risk assessment.
- Validate existing models and provide insights into their performance and limitations.
- Collaborate with traders, portfolio managers, and risk managers to understand their quantitative needs and provide solutions.
- Stay abreast of the latest developments in quantitative finance, econometrics, and computational methods.
- Translate complex mathematical concepts into clear, actionable insights for business stakeholders.
- Develop efficient and robust code in languages such as Python, R, C++, or Java.
- Conduct back-testing and simulation studies to evaluate model performance.
- Contribute to the development and enhancement of the firm's quantitative infrastructure.
- Author technical documentation and present findings to both technical and non-technical audiences.
- Ensure models comply with regulatory requirements and internal risk policies.
- Mentor junior quantitative analysts and contribute to team knowledge sharing.
- Identify opportunities for innovation and improvement in quantitative methodologies.
- Work effectively in a distributed, remote team environment.
Qualifications:
- PhD or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Minimum of 7 years of experience as a Quantitative Analyst or in a similar role within the financial services industry.
- Proven expertise in developing and implementing financial models for pricing, risk, or trading.
- Strong programming skills in at least one of Python, R, C++, or Java, with experience in relevant libraries (e.g., NumPy, Pandas, SciPy, TensorFlow).
- Deep understanding of stochastic calculus, time series analysis, econometrics, and machine learning.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and presentation skills, with the ability to articulate complex quantitative concepts.
- Experience with large datasets and distributed computing environments is a plus.
- Ability to work independently and collaboratively in a remote setting.
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Lead Data Scientist - Financial Modeling
Posted 8 days ago
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As the Lead Data Scientist, you will guide a team of talented data scientists, fostering an environment of collaboration and technical excellence. Your responsibilities will encompass the entire data science lifecycle, from data acquisition and cleaning to model development, validation, and deployment. A deep understanding of machine learning algorithms, statistical modeling, and time-series analysis is crucial. Experience with financial markets, quantitative finance, and regulatory compliance is highly advantageous. You will leverage your expertise in Python or R, along with libraries like TensorFlow, PyTorch, scikit-learn, and Pandas, to build robust and scalable solutions. Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop) are also essential for handling large financial datasets.
We expect candidates to possess a Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Physics. A minimum of 6 years of relevant industry experience, with a proven track record in financial modeling and a leadership capacity, is required. Excellent communication and presentation skills are vital for conveying complex findings to both technical and non-technical stakeholders. You will be instrumental in shaping our data-driven strategy, providing actionable insights that enhance financial performance and operational efficiency. This is a unique chance to make a substantial impact in a globally recognized financial organization, working remotely.
Senior Data Scientist - Financial Modeling
Posted 9 days ago
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Job Description
Key Responsibilities:
- Develop, validate, and deploy sophisticated predictive models for areas such as credit risk, market risk, fraud detection, and customer behavior analysis.
- Clean, transform, and analyze large, complex datasets from various sources using statistical and machine learning techniques.
- Collaborate closely with business stakeholders, data engineers, and other data scientists to understand requirements and deliver actionable insights.
- Design and implement A/B tests and other experimental methodologies to evaluate model performance and business impact.
- Stay abreast of the latest advancements in data science, machine learning, and financial modeling techniques.
- Build robust data pipelines and automated reporting systems to support ongoing model monitoring and performance tracking.
- Communicate complex findings and model methodologies clearly and concisely to both technical and non-technical audiences.
- Mentor junior data scientists and contribute to the growth and development of the data science team.
- Ensure compliance with all relevant regulations and data privacy standards.
- Contribute to the strategic roadmap for data science initiatives within the organization.
- Document all modeling processes, assumptions, and results thoroughly.
- Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Minimum of 5 years of experience as a Data Scientist, with a significant focus on financial modeling and analysis.
- Proven expertise in developing and deploying machine learning models (e.g., regression, classification, time-series forecasting, clustering).
- Proficiency in programming languages such as Python or R, and strong experience with relevant libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
- Solid understanding of statistical concepts and methods.
- Experience with SQL and working with relational databases; experience 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 diverse audiences.
- Familiarity with financial industry regulations and data governance principles.
- Ability to work independently and effectively manage projects in a remote setting.
- Demonstrated ability to translate business problems into data science solutions.
Senior Quantitative Analyst - Financial Modeling
Posted 10 days ago
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Job Description
Responsibilities:
- Develop, implement, and maintain sophisticated quantitative models for pricing, risk management, and hedging of financial derivatives.
- Conduct in-depth statistical analysis and data mining to identify trends and patterns in financial markets.
- Validate model performance, assess limitations, and perform back-testing to ensure accuracy and robustness.
- Collaborate with trading desks, risk management, and IT departments to understand business requirements and translate them into quantitative solutions.
- Develop and maintain efficient and well-documented code in languages such as Python, C++, or R.
- Contribute to the design and development of new financial products and strategies.
- Stay abreast of regulatory changes and industry best practices in quantitative finance.
- Prepare clear and concise reports and presentations on model methodologies, assumptions, and results for senior management and regulators.
- Mentor junior quantitative analysts and contribute to the team's technical expertise.
- Ensure compliance with internal policies and external regulations.
- Troubleshoot and resolve issues related to model implementation and performance.
Qualifications:
- Master's degree or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Financial Engineering, or Computer Science.
- 5+ years of progressive experience in quantitative analysis within the financial services industry.
- Strong theoretical knowledge and practical experience in financial modeling, including derivative pricing, risk modeling (VaR, CVA), and statistical methods.
- Proficiency in at least one programming language commonly used in quantitative finance (e.g., Python with libraries like NumPy, SciPy, Pandas; C++; R).
- Experience with data analysis and visualization tools.
- Familiarity with financial markets, instruments, and trading strategies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Experience with machine learning techniques applied to finance is a plus.
- Knowledge of regulatory frameworks such as Basel III or Solvency II is advantageous.
This hybrid role is based in our client's offices in Newcastle upon Tyne, Tyne and Wear, UK .
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