587 Financial Data jobs in the United Kingdom
Financial Data Specialist
Posted today
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This global law firm based in London’s legal district wish to hire a Financial Data Specialist with a sound working knowledge of Elite 3e and other finance related systems, on an initial 18 month FTC.
- Salary - Up to 55k
- Hybrid Working - 3 Days Office / 2 Remote
- St Pauls
Reporting into the Finance Data Manager and supporting the wider Finance team, the Finance Data Specialist will support on projects, reporting and upgrades, acting as a go between with the Finance, Business Services teams as well as practice groups firmwide. The Finance Data Specialist will be responsible for maintaining and administering the overall quality control of the Elite 3e PMS system in line with firmwide policies.
Finance Data Specialist Responsibilities include:
- Assist with the year-end client special billing arrangements project
- Ensure timely turnaround and high level of quality control in the assignment of client, matter, and timekeeper numbers in 3E
- Maintain client and matter information in the 3E database, including but not limited to, updates to billing information, rate tables, recording name changes, origination allocation changes, updates to matter status, and edit other 3E fields as requested
- Assist with the accurate implementation and maintenance of global client rate agreements
- Ensure the department provides excellent and timely customer service and problem resolution to firm attorneys, client account specialists, clients and other firm personnel by employing best practices
- Ensure that the firm's information security policies and procedures are followed at all times
- Apply security awareness in relation to policies and training other staff member when handling sensitive information
- Report ant suspected breaches of security
Finance Data Specialist Requirements:
- Minimum 4 years current experience developing and using the Elite 3e platform in a law firm
- Exceptional eye for detail, able to work with various data and creating reports
- An advanced knowledge of Excel, MS Reporting Services and understanding of accounting processes are essential
Senior Financial Data Analyst (Remote)
Posted 19 days ago
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Key Responsibilities:
- Develop and maintain financial models to forecast performance and support strategic planning.
- Analyse large, complex datasets to identify trends, patterns, and anomalies in financial data.
- Create insightful reports and dashboards for senior management and various business units.
- Perform deep-dive analysis on key financial metrics, including revenue, expenses, profitability, and cash flow.
- Collaborate with data engineers and IT teams to ensure data integrity and accessibility.
- Develop and implement data quality checks and validation processes.
- Identify opportunities for process automation and efficiency improvements in financial reporting.
- Present findings and recommendations to stakeholders at various levels of the organization.
- Stay abreast of industry best practices and emerging technologies in financial data analysis.
- Mentor junior analysts and contribute to the team's knowledge base.
Qualifications:
- Bachelor's degree in Finance, Economics, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in financial analysis, data analysis, or a similar role.
- Advanced proficiency in SQL, Python, or R for data manipulation and analysis.
- Experience with financial modelling and forecasting techniques.
- Strong understanding of statistical concepts and their application to financial data.
- Proficiency in data visualisation tools such as Tableau, Power BI, or similar.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex data to non-technical audiences.
- Demonstrated ability to work independently and manage multiple projects in a remote setting.
- Experience in the financial services industry is highly desirable.
Lead Financial Data Analyst (Remote)
Posted 19 days ago
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You will be responsible for collecting, cleaning, and analyzing large volumes of financial data to identify trends, patterns, and opportunities for improvement. This includes developing financial models, creating insightful reports and dashboards, and providing recommendations to senior management. The Lead Financial Data Analyst will also mentor junior analysts, establish best practices for data analysis, and ensure the accuracy and integrity of financial data. Proficiency in SQL, Python or R for data manipulation, and BI tools (e.g., Tableau, Power BI) is essential.
Key responsibilities include:
- Leading the analysis of financial data to provide strategic insights and support decision-making.
- Developing and maintaining financial models for forecasting, budgeting, and performance analysis.
- Creating comprehensive reports, dashboards, and visualizations to communicate key findings.
- Identifying trends, anomalies, and opportunities for cost savings and revenue growth.
- Collaborating with finance, operations, and business teams to understand their data needs.
- Ensuring the accuracy, consistency, and integrity of financial data across systems.
- Mentoring and guiding junior financial analysts.
- Establishing and implementing best practices for data analysis and reporting.
- Staying up-to-date with industry trends and best practices in financial analysis and data science.
- Automating reporting processes where possible to improve efficiency.
We are looking for individuals with a Bachelor's or Master's degree in Finance, Economics, Statistics, Data Science, or a related quantitative field, coupled with significant experience in financial analysis, preferably within the banking or finance sector. Exceptional analytical, problem-solving, and communication skills are required. The ability to translate complex data into clear, actionable insights for non-technical stakeholders is crucial. This remote role offers a significant opportunity to impact financial performance.
Senior Financial Data Scientist (Remote)
Posted 19 days ago
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Responsibilities:
- Design, develop, and deploy sophisticated machine learning models and analytical solutions to address complex business challenges in banking and finance.
- Extract, clean, and transform large, disparate datasets from various sources, ensuring data integrity and quality.
- Conduct advanced statistical analysis, predictive modeling, and data mining to uncover actionable insights and identify trends.
- Collaborate with business stakeholders, including product managers, engineers, and risk officers, to define project scope, objectives, and deliverables.
- Build and maintain robust data pipelines and analytical workflows.
- Develop and implement strategies for A/B testing and experimental design to validate hypotheses and measure the impact of initiatives.
- Stay at the forefront of advancements in data science, machine learning, and artificial intelligence, and identify opportunities for application within the financial sector.
- Present complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
- Contribute to the development of data governance best practices and ensure compliance with relevant regulations.
- Mentor junior data scientists and foster a culture of continuous learning and innovation.
- Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Economics, or a related discipline.
- Minimum of 6 years of experience in data science, with a strong focus on financial services or a related analytical domain.
- Proficiency in programming languages commonly used in data science, such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
- Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
- Experience with large-scale data processing frameworks (e.g., Spark) and SQL.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to communicate complex technical concepts effectively to diverse audiences.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Experience with financial modeling, risk management, or fraud detection is highly desirable.
2026 Feasibility & Investment Analysis Placement

Posted 6 days ago
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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**
Senior Financial Analyst - Data Monetization
Posted 19 days ago
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The Senior Financial Analyst will be responsible for developing financial models, forecasting revenue streams, and analysing the profitability of data-driven products and services. You will collaborate closely with data science, product management, and sales teams to identify opportunities for revenue growth and optimise financial performance. This is an excellent opportunity for a detail-oriented professional to shape financial strategy in a dynamic, remote-first environment.
Key Responsibilities:
- Develop and maintain sophisticated financial models to forecast revenue, expenses, and profitability related to data products and services.
- Analyse the financial performance of various data monetization strategies, providing actionable insights and recommendations to senior management.
- Collaborate with the data science and product teams to assess the financial viability of new data products and features.
- Prepare regular financial reports, including variance analysis and performance dashboards, for executive review.
- Support the budgeting and planning processes, ensuring alignment with strategic business objectives.
- Identify key financial metrics and KPIs for tracking the success of data monetization initiatives.
- Conduct ad-hoc financial analysis to support decision-making on pricing, partnerships, and investment opportunities.
- Monitor market trends and competitor activities related to data monetization.
- Ensure the integrity and accuracy of financial data and reporting systems.
- Contribute to the development and refinement of financial processes and controls in a remote setting.
Required Qualifications and Experience:
- Bachelor's degree in Finance, Accounting, Economics, or a related field. A Master's degree or professional certification (CFA, ACCA, CIMA) is highly desirable.
- Minimum of 5 years of progressive experience in financial analysis, preferably within a technology, data, or SaaS company.
- Proven experience in financial modelling, forecasting, and valuation.
- Strong understanding of data analytics, data products, and revenue models in the digital space.
- Excellent analytical, quantitative, and problem-solving skills.
- Proficiency in financial planning & analysis (FP&A) software and advanced Excel skills.
- Strong communication and presentation skills, with the ability to convey complex financial information clearly.
- Ability to work independently, manage multiple priorities, and thrive in a remote team environment.
- Experience with SQL or data visualisation tools (e.g., Tableau, Power BI) is a plus.
- Proactive and results-oriented with a keen eye for detail.
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.
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Senior Data Scientist - Financial Modeling
Posted 9 days ago
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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.
Head of Investment Banking Analysis
Posted 15 days ago
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Head of Investment Banking Analysis
Posted 19 days ago
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