308 Regulatory Reporting Analyst jobs in the United Kingdom

Shape the Future with Capgemini

At Capgemini, we empower you to shape your career your way. Join a global community where collaboration, innovation, and purpose come together to reimagine what’s possible. Be part of a team that helps the world’s leading organizations unlock the power of technology to build a more sustainable and inclusive future.

Job Title: Senior Techno-Functional Business Analyst

We are seeking a highly experienced Senior Techno-Functional Business Analyst with deep expertise in Capital Markets , particularly Debt Capital Markets (DCM) and Corporate & Investment Banking . The ideal candidate will combine strong business acumen with technical proficiency to bridge the gap between business needs and technology solutions, driving strategic initiatives and ensuring successful project delivery.

Key Responsibilities

• Requirements Gathering & Analysis: Lead workshops and discussions with stakeholders across front, middle, and back office to capture detailed functional and non-functional requirements.
• Domain Expertise: Apply in-depth knowledge of DCM (bond origination, syndication, issuance, trading workflows, regulatory aspects) and Corporate & Investment Banking (corporate lending, trade finance, M&A advisory, capital raising, treasury services).
• Solution Design: Translate business requirements into functional specifications, user stories, process flows, and data models.
• Stakeholder Management: Act as the primary liaison between business teams and technical developers, ensuring alignment throughout the SDLC.
• Data Analysis: Perform data mapping and analysis to support system integration and migration.
• Testing & UAT: Collaborate with QA teams on test strategies, review test cases, and support UAT.
• Change Management: Assist in training and adoption of new systems and processes.
• Regulatory Awareness: Stay updated on market trends and regulatory changes impacting DCM and CIB.

Required Skills & Experience

• 8+ years as a Business Analyst in Capital Markets with strong exposure to DCM and Corporate/Investment Banking .
• Strong understanding of front-to-back trade lifecycle , regulatory frameworks, and financial products.
• Experience in Agile and SDLC methodologies .
• Proficiency in data analysis tools (SQL, Excel) and ability to work with technical teams.
• Excellent communication, stakeholder management, and problem-solving skills.

• Knowledge of DCM platforms and investment banking systems .
• Familiarity with regulatory reporting and compliance requirements.
• Technical background or ability to understand APIs, data models, and integration points.

About Capgemini

Capgemini is a global leader in business and technology transformation. With 340,000 team members in over 50 countries, we help organizations accelerate their digital and sustainable transitions. Backed by over 55 years of experience, we deliver end-to-end solutions powered by AI, cloud, and data, and supported by deep industry expertise. In 2023, Capgemini reported global revenues of €22.5 billion.Get the future you want

• Prepare and review complex financial statements, including balance sheets, income statements, and cash flow statements.
• Ensure compliance with all relevant accounting standards (e.g., IFRS, GAAP) and regulatory requirements (e.g., FCA, PRA).
• Develop and maintain robust internal control systems to safeguard company assets and ensure data accuracy.
• Assist in the preparation and coordination of internal and external audits.
• Conduct in-depth financial analysis, including variance analysis, trend analysis, and forecasting.
• Identify financial risks and opportunities, providing recommendations for mitigation and improvement.
• Support the budgeting and forecasting processes.
• Collaborate with business units to gather financial information and resolve queries.
• Prepare management reports and presentations on financial performance.
• Stay updated on changes in accounting regulations and financial legislation.

• Bachelor's degree in Accounting, Finance, or a related field. Professional qualification such as ACCA, CIMA, ACA, or equivalent is strongly preferred.
• Minimum of 5 years of experience in financial analysis, accounting, or auditing, preferably within the banking or financial services sector.
• Proven knowledge of UK and international financial reporting standards.
• Experience with regulatory reporting requirements in the financial industry.
• Strong understanding of internal controls and risk management principles.
• Proficiency in financial modelling and data analysis using advanced Excel skills.
• Experience with accounting software and ERP systems (e.g., SAP, Oracle).
• Excellent analytical, problem-solving, and organisational skills.
• Strong communication and interpersonal abilities, with the capacity to explain complex financial information clearly.
• Attention to detail and a commitment to accuracy.

DATA ANALYST TRAINER - (BOOTCAMPS&APPRENTICESHIPS) - £45,000 - FULLY REMOTE (MUST BE UK BASED)

SLS Recruitment are working with a leading IT & Digital Training provider and they have a new opportunity for a Data Analyst Trainer to work across their skills bootcamp and apprenticeship provision. This is a fully remote role and will offer a salary of up to £45,000. This opportunity would suit someone who has experience of delivering training in the technology below.

To be considered for this opportunity you will have the following:

• MUST HAVE DELIVERED TRAINING PREVIOUSLY
• MUST HAVE A TEACHING OR ASSESSING QUALIFICATION
• Knowledge of Excel, Access, R, SQL, Power BI and Azure fundamentals.
• Experience of delivering training in Data Analysis a minimum of 1 year.
• A relevant qualification in Data Analysis, ideally at degree level.

As a Data Analyst Trainer you will work with Curriculum, IQA and Service Delivery Teams. You will adapt different ways of working and be able to establish individual learning needs and introduce new ways of working.

For further information on this opportunity to work with a provider who continues to grow, please apply now.

• Analyze and interpret geological and geophysical data.
• Develop and refine 3D geological models.
• Conduct resource estimation and geological risk assessments.
• Prepare comprehensive technical reports and presentations.
• Collaborate with exploration and mining engineering teams.
• Utilize advanced geological software for data processing and visualization.
• Advise on exploration strategies and target definition.
• Ensure data quality and integrity throughout projects.
• Stay updated on the latest geological techniques and technologies.
• Contribute to the company's overall resource management strategy.

• MSc or PhD in Geology, Geophysics, or a related field.
• Significant experience in geological data analysis and modelling.
• Proficiency in geological software packages (e.g., Leapfrog, ArcGIS, Vulcan).
• Strong statistical analysis and quantitative skills.
• Experience in mineral resource estimation.
• Excellent written and verbal communication skills.
• Ability to work effectively in a hybrid environment.
• Strong problem-solving and critical thinking abilities.
• Familiarity with exploration and mining processes.

• Assist in collecting, cleaning, and organising large datasets from various sources.
• Perform preliminary data analysis using statistical methods and software tools.
• Support senior analysts in generating reports, dashboards, and visualisations to communicate findings.
• Learn and apply data mining techniques to identify trends, patterns, and insights.
• Contribute to the development of data models and analytical frameworks.
• Collaborate with team members on projects, participating in brainstorming sessions and problem-solving activities.
• Assist in documenting data sources, methodologies, and analytical processes.
• Gain exposure to various data analysis tools and technologies (e.g., SQL, Python, R, Tableau).
• Participate in training sessions and workshops to enhance technical and analytical skills.
• Provide support for ad-hoc data requests and analysis as needed.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, or a related discipline.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with or willingness to learn data manipulation and analysis tools (e.g., Excel, SQL).
• Excellent communication and interpersonal skills.
• Ability to work both independently and as part of a team.
• Proactive attitude and eagerness to learn and develop new skills.
• Eligibility to work in the UK.
• Comfortable working in a hybrid work environment.

• Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop reports and dashboards using data visualization tools to present findings clearly and concisely.
• Support the team in designing and implementing data quality checks and validation processes.
• Gain exposure to statistical modeling and predictive analytics concepts.
• Learn to use programming languages such as Python or R for data manipulation and analysis.
• Understand database concepts and SQL for data extraction.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Contribute to the continuous improvement of data processes and methodologies.
• Undertake a structured learning program leading to a recognised qualification in Data Analysis.

• A strong interest in data, analytics, and technology.
• A minimum of 5 GCSEs at Grade C/4 or above, including Maths and English, or equivalent.
• Excellent problem-solving abilities and a keen eye for detail.
• Good communication and teamwork skills.
• A proactive attitude and a willingness to learn.
• Basic understanding of Excel or similar spreadsheet software is advantageous.

• Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
• Develop predictive models for crop growth, disease outbreaks, and pest infestations.
• Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
• Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
• Collaborate with the R&D team to improve data collection methodologies and analytical tools.
• Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
• Contribute to the development of best practices for sustainable agriculture through data analysis.
• Assist in the design and execution of field trials to validate analytical models and recommendations.
• Troubleshoot data quality issues and implement data cleansing procedures.
• Communicate effectively with clients and internal teams through virtual channels.

• A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
• A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
• Proficiency in data analysis tools such as R, Python, or similar programming languages.
• Experience with GIS software and remote sensing data interpretation.
• Knowledge of various crop types and agricultural systems.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to convey technical information effectively.
• Proven ability to work independently, manage projects, and deliver results in a remote setting.
• Experience in a client-facing role or providing advisory services is a plus.
• A passion for sustainable agriculture and technological innovation.

• Develop and implement precision agriculture strategies tailored to specific farm operations.
• Collect and analyze data from various sources, including soil sensors, weather stations, drones, satellite imagery, and farm machinery.
• Utilize GIS and data visualization tools to map field variability and identify areas requiring specific treatment.
• Provide expert recommendations on crop nutrition, pest and disease management, irrigation, and soil health based on data analysis.
• Monitor crop growth and performance, identifying potential issues and recommending timely interventions.
• Evaluate the effectiveness of different agricultural inputs and practices.
• Stay current with the latest advancements in agricultural technology, data science, and agronomic research.
• Collaborate with farm managers, agronomists, and technical staff to implement recommendations and ensure successful outcomes.
• Maintain detailed records of field trials, experiments, and operational data.
• Contribute to the development of sustainable and environmentally sound farming practices.
• Train farm personnel on the use of precision agriculture technologies and data interpretation tools.
• Prepare reports and presentations on findings, recommendations, and program performance.

• Bachelor's or Master's degree in Agronomy, Agricultural Science, Soil Science, Data Science, or a related field.
• Proven experience (3+ years) as an Agronomist or in a related agricultural role with a strong focus on data analysis.
• Demonstrable expertise in precision agriculture techniques and technologies (e.g., GPS guidance, variable rate application, remote sensing).
• Proficiency in using GIS software (e.g., ArcGIS, QGIS) and data analysis tools (e.g., R, Python, Excel with advanced functions).
• Strong understanding of soil science, crop physiology, plant pathology, and entomology.
• Experience with agricultural data management platforms and software.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain complex data to diverse audiences.
• Ability to work independently and as part of a team in a field-based environment.
• A valid driver's license and willingness to travel to various farm locations within the region.
• Knowledge of sustainable agriculture practices is a plus.