What Jobs are available for Program Management in West Yorkshire?

Showing 13 Program Management jobs in West Yorkshire

Planning and Project Controls Manager

West Yorkshire, Yorkshire and the Humber £700 - £750 Daily Fusion People Ltd

Posted 2 days ago

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contract

Planning and Project Controls Manager

Rail / Civils

Location : Leeds - presence on site / office is required 4 days per week

Duration : Ongoing contract

IR35 : inside (PAYE only)

Day rate: 700 / day PAYE - negotiable

A Planning Manager is required to join a tier-1 civils contractor on a contract in Leeds. As a Planning Manager, you will be working on a large-scale rail project, leading the planning of the design and construction of a new rail depot. Responsibilities include establishing and maintaining realistic schedules, identifying critical issues, proposing effective solutions, collaborating across disciplines, sub-contractors and planners to develop and revise the delivery programme, and establishing and maintaining periodic progress reporting, contributing insights, identifying issues, risks and proposing actionable solutions. You will also be contributing to the risk register and schedule risk analysis as well as the formal identification, impact assessment and notification of programme change.

The successful candidate must have experience of successful collaboration with multiple stakeholders within a large programme of works as the project fits within the larger programme with multi-partner, multi-discipline dependencies and client interfaces. You will have significant experience planning rail civils and structures projects using Primavera P6, have extensive experience of Civil Engineering and/or Construction projects with a proven track record of delivering large-scale civil structures with a Tier 1 contractor, and have working knowledge of NEC forms of contracts. You will be a clear communicator, skilled in building relationships, thrive in large, fast-paced, multi-discipline teams, and be capable of identifying, challenging and articulating issues and solutions that impact project outcomes. The ideal candidate will have full project lifecycle experience, particularly design and build within large-scale rail and structure projects.

--- Fusion People are committed to promoting equal opportunities to people regardless of age, gender, religion, belief, race, sexuality or disability. We operate as an employment agency and employment business. You'll find a wide selection of vacancies on our website.

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Senior Actuarial Analyst - Risk Management

BD1 2AA Bradford, Yorkshire and the Humber £65000 Annually WhatJobs Direct

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full-time
Our client, a leading insurance provider, is seeking a highly skilled Senior Actuarial Analyst to join their fully remote team. This role is critical in assessing and managing financial risks within the company. As a remote-first professional, you will leverage advanced statistical techniques and actuarial methodologies to develop models, analyse data, and provide insights that inform strategic decision-making. The ideal candidate will have a strong background in actuarial science, a deep understanding of insurance products, and exceptional analytical and programming skills. You will work collaboratively with various departments, including underwriting, claims, and finance, to ensure the long-term financial health and solvency of the organisation.

Key Responsibilities:
  • Develop, implement, and maintain actuarial models for pricing, reserving, and capital management.
  • Analyse insurance data to identify trends, risks, and opportunities for profit improvement.
  • Conduct experience analyses and compare actual results to assumptions.
  • Assist in the preparation of regulatory financial returns and statutory reporting.
  • Support product development by providing pricing analysis and profitability assessments.
  • Perform sensitivity testing and scenario analysis to evaluate financial risks.
  • Communicate complex actuarial findings clearly and concisely to non-actuarial stakeholders.
  • Mentor and guide junior actuarial students and analysts.
  • Stay current with industry trends, regulatory changes, and new actuarial techniques.
  • Contribute to the continuous improvement of actuarial processes and tools.

Qualifications:
  • Fully qualified actuary (FSA, FIA, or equivalent) or near qualification with significant progress.
  • Proven experience in actuarial roles within the insurance industry.
  • Strong knowledge of life, health, or general insurance products and regulations.
  • Proficiency in actuarial software (e.g., Prophet, T M P G) and programming languages (e.g., R, Python, SQL).
  • Excellent analytical, quantitative, and problem-solving skills.
  • Strong communication and presentation abilities, essential for remote collaboration.
  • Ability to work independently and manage multiple projects in a distributed team environment.
  • Demonstrated leadership potential and a proactive approach to problem-solving.
  • Experience with data visualisation tools is a plus.
  • Commitment to professional development and ethical conduct.
This is an exceptional opportunity for an experienced actuary to advance their career in a fully remote setting, offering significant autonomy and the chance to impact business strategy. Our client is committed to providing a supportive remote work environment, encouraging professional growth and work-life balance.
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Senior Quantitative Analyst (Risk Management)

BD1 1AB Bradford, Yorkshire and the Humber £90000 Annually WhatJobs Direct

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Job Description

full-time
Our client is seeking a highly analytical and accomplished Senior Quantitative Analyst specializing in Risk Management to join their fully remote team. This pivotal role offers the opportunity to develop and implement sophisticated quantitative models and strategies that underpin critical risk assessment and mitigation processes within the financial sector. You will work collaboratively with global teams, leveraging advanced statistical techniques and cutting-edge technologies to enhance our client's risk management framework. The ideal candidate will possess a profound understanding of financial markets, derivative instruments, and regulatory requirements, coupled with exceptional programming and data analysis skills. This position is ideal for an individual who thrives in a remote-first environment, demonstrating strong self-discipline, proactive communication, and a commitment to delivering high-quality, data-driven insights.

Key Responsibilities:
  • Develop, validate, and implement complex quantitative models for market risk, credit risk, and operational risk assessment.
  • Design and backtest trading strategies and risk mitigation techniques based on rigorous quantitative analysis.
  • Perform in-depth data analysis to identify trends, correlations, and potential risks across various asset classes.
  • Collaborate with front-office, middle-office, and compliance teams to translate business needs into quantitative solutions.
  • Contribute to the development and enhancement of risk reporting systems and dashboards.
  • Stay current with regulatory changes (e.g., Basel III, FRTB) and ensure models are compliant.
  • Utilize programming languages such as Python, R, C++, or Java for model development, implementation, and automation.
  • Communicate complex quantitative concepts and findings clearly and effectively to both technical and non-technical stakeholders through detailed documentation and presentations.
  • Mentor junior analysts and contribute to the team's overall knowledge base and best practices.
  • Conduct research into new quantitative methodologies and tools to improve risk management capabilities.
  • Assist in the calibration and parameterization of models based on market data and expert judgment.

Required Qualifications:
  • Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Economics, or a related discipline.
  • A minimum of 5 years of experience in quantitative analysis, financial modeling, or risk management within the financial services industry.
  • Strong proficiency in statistical modeling, time series analysis, and econometrics.
  • Expertise in at least one major programming language (Python, R, C++, Java) and experience with data manipulation libraries.
  • Solid understanding of financial derivatives, portfolio theory, and risk management principles.
  • Familiarity with regulatory frameworks relevant to financial institutions.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Proven ability to work independently and collaboratively in a remote setting, demonstrating strong organizational and time management skills.
  • Exceptional written and verbal communication abilities, with the capacity to explain intricate details clearly.
This is a fully remote position, offering the flexibility to work from anywhere, though strong communication and self-management are paramount. Our client is committed to fostering an inclusive and innovative remote work culture.
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Senior Quantitative Analyst - Risk Management

BD1 1DT Bradford, Yorkshire and the Humber £70000 Annually WhatJobs Direct

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full-time
Our client, a prominent financial institution, is seeking a highly analytical Senior Quantitative Analyst to join their Risk Management division. This hybrid role, based in Bradford, West Yorkshire, UK , offers the chance to apply advanced mathematical and statistical techniques to complex financial challenges. You will be instrumental in developing, implementing, and validating quantitative models for credit risk, market risk, and operational risk assessment. Responsibilities include performing complex data analysis, building sophisticated risk models, and ensuring their accuracy and effectiveness in predicting and mitigating potential financial exposures. The ideal candidate will possess a strong academic background in a quantitative discipline, coupled with extensive practical experience in financial modelling and risk management within the banking sector. You must have a deep understanding of financial markets, derivative instruments, and regulatory requirements (e.g., Basel Accords). Exceptional programming skills in languages such as Python, R, or C++ are essential, along with proficiency in statistical software and database management. You will also be involved in presenting complex analytical findings to senior management, regulatory bodies, and other stakeholders in a clear and concise manner. This role requires a sharp, detail-oriented individual with excellent problem-solving abilities and a proactive approach to identifying and managing financial risks. The ability to work effectively both independently and collaboratively in a hybrid team environment is key. This is a significant opportunity to contribute to the stability and success of a leading financial organisation and advance your career in quantitative finance.

Responsibilities:
  • Develop, implement, and validate quantitative models for risk management.
  • Conduct in-depth analysis of financial data to assess risk exposures.
  • Build and maintain models for credit, market, and operational risk.
  • Perform stress testing and scenario analysis on financial portfolios.
  • Ensure models comply with regulatory requirements and internal policies.
  • Collaborate with business units to understand risk drivers and needs.
  • Present complex quantitative findings to senior management and stakeholders.
  • Stay abreast of industry trends and advancements in quantitative finance.
  • Contribute to the development of risk management frameworks and strategies.
  • Maintain comprehensive documentation of models and methodologies.

Qualifications:
  • Master's degree or PhD in Mathematics, Statistics, Economics, Finance, or a related quantitative field.
  • Minimum of 6 years of experience as a Quantitative Analyst or in a similar risk management role within banking/finance.
  • Proven experience in developing and validating financial risk models.
  • Strong programming skills in Python, R, C++, or similar languages.
  • Expertise in statistical modelling, econometrics, and financial mathematics.
  • Knowledge of financial markets, instruments, and regulatory frameworks (e.g., Basel III/IV).
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation abilities.
  • Experience working in a hybrid professional environment.
  • Ability to work independently and manage multiple priorities.
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Senior Quantitative Analyst, Risk Management

BD1 1AA Bradford, Yorkshire and the Humber £75000 Annually WhatJobs Direct

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Job Description

full-time
Our client is a prestigious financial institution with a global reach, seeking a highly analytical and experienced Senior Quantitative Analyst to join their Risk Management division. This role is based in our central operations in Bradford, West Yorkshire, UK . You will play a crucial role in developing, validating, and implementing sophisticated quantitative models used for market risk, credit risk, and operational risk assessment. The ideal candidate will possess a strong mathematical background, expertise in statistical modeling and programming, and a deep understanding of financial markets and regulatory frameworks. This position requires meticulous attention to detail, robust problem-solving skills, and the ability to communicate complex findings effectively.

Responsibilities:
  • Develop, implement, and back-test quantitative models for risk assessment, including VaR, Expected Shortfall, credit scoring, and derivative pricing.
  • Validate existing risk models to ensure their accuracy, robustness, and compliance with regulatory requirements (e.g., Basel III/IV).
  • Perform in-depth analysis of financial data to identify trends, risks, and opportunities.
  • Collaborate with front-office, middle-office, and compliance teams to understand business needs and provide quantitative support.
  • Design and conduct scenario analysis and stress testing to assess portfolio resilience.
  • Automate data collection, model execution, and reporting processes.
  • Stay abreast of the latest developments in quantitative finance, risk management, and relevant regulatory changes.
  • Prepare comprehensive reports and presentations on model performance, risk exposures, and findings for senior management and regulators.
  • Contribute to the development and enhancement of risk management frameworks and methodologies.
  • Mentor junior quantitative analysts and contribute to the team's technical development.

Qualifications:
  • Master's or PhD degree in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
  • Minimum of 5 years of experience in quantitative analysis, preferably within a financial services environment.
  • Strong proficiency in statistical modeling, time series analysis, and econometrics.
  • Expertise in programming languages commonly used in quantitative finance, such as Python (with libraries like NumPy, SciPy, Pandas), R, or C++.
  • Solid understanding of financial instruments, markets, and risk management principles.
  • Experience with data visualization tools and techniques.
  • Familiarity with regulatory requirements in banking and financial services is a significant advantage.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
  • Ability to work effectively both independently and as part of a team in a demanding environment.

This is a challenging and rewarding opportunity to contribute to robust risk management practices within a leading financial institution, based in our dynamic offices in Bradford, West Yorkshire, UK .
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Senior Financial Analyst - Risk Management

BD1 1AA Bradford, Yorkshire and the Humber £50000 Annually WhatJobs Direct

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Job Description

full-time
A leading financial institution in **Bradford, West Yorkshire, UK**, is seeking a highly analytical and detail-oriented Senior Financial Analyst specializing in Risk Management. This role offers a hybrid working model, combining essential in-office collaboration with the flexibility of remote work. You will be responsible for evaluating financial risks, developing mitigation strategies, and ensuring the company's financial stability and compliance.
Responsibilities:
  • Analyze financial data to identify, assess, and quantify various types of financial risks, including market risk, credit risk, operational risk, and liquidity risk.
  • Develop, implement, and monitor risk management frameworks, policies, and procedures.
  • Prepare detailed reports and presentations on risk exposures, control effectiveness, and emerging risks for senior management and regulatory bodies.
  • Conduct stress testing and scenario analysis to evaluate the impact of adverse market conditions on the company's financial position.
  • Collaborate with business units to understand their risk profiles and implement appropriate risk mitigation strategies.
  • Develop and maintain financial models to support risk assessment and capital planning.
  • Stay abreast of regulatory changes and industry best practices in financial risk management.
  • Contribute to the development and enhancement of risk management systems and tools.
  • Assist in internal and external audits related to financial risk management.
  • Provide guidance and support to junior analysts on risk assessment methodologies.
Qualifications:
  • Bachelor's degree in Finance, Economics, Accounting, Mathematics, or a related quantitative field. A Master's degree or relevant professional certification (e.g., FRM, CFA) is highly desirable.
  • Minimum of 4-6 years of experience in financial analysis, with a strong focus on risk management within the banking or financial services sector.
  • In-depth understanding of financial markets, instruments, and regulatory requirements.
  • Proficiency in financial modeling, data analysis, and statistical techniques.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication skills, with the ability to present complex information clearly and concisely.
  • Proficiency in financial software and tools (e.g., Excel, SQL, Python, statistical software).
  • Ability to work independently and collaboratively in a hybrid work environment.
  • High level of integrity and attention to detail.
This is a challenging and rewarding opportunity for a seasoned financial professional to contribute significantly to the risk management function of a respected firm in **Bradford, West Yorkshire, UK**. If you possess strong analytical acumen and a dedication to financial prudence, we invite you to apply.
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Senior Quantitative Analyst - Risk Management

BD1 XXX Bradford, Yorkshire and the Humber £75000 Annually WhatJobs Direct

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Job Description

full-time
Our client, a prominent financial institution, is looking for a highly analytical and experienced Senior Quantitative Analyst to join their expanding Risk Management division. This role is based in Bradford, West Yorkshire, UK , and operates on a hybrid model, offering a blend of in-office collaboration and remote flexibility. You will be responsible for developing, implementing, and validating sophisticated quantitative models to assess and manage financial risks across various asset classes. This includes market risk, credit risk, and operational risk.

Key Responsibilities:
  • Designing, building, and back-testing complex financial models using statistical and mathematical techniques.
  • Performing stress testing and scenario analysis to evaluate portfolio resilience.
  • Contributing to the development of new risk metrics and methodologies.
  • Collaborating with trading desks, portfolio managers, and IT departments to integrate risk models into business processes.
  • Ensuring compliance with regulatory requirements and internal policies.
  • Communicating complex quantitative concepts to non-technical stakeholders through clear and concise reports and presentations.
  • Mentoring junior analysts and contributing to team knowledge sharing.
  • Identifying potential model limitations and proposing enhancements.

Essential Qualifications:
  • Master's or Ph.D. in a quantitative field such as Financial Mathematics, Statistics, Physics, Computer Science, or Economics.
  • A minimum of 5 years of relevant experience in quantitative analysis within the banking or financial services industry.
  • Strong proficiency in programming languages like Python, R, or C++.
  • In-depth knowledge of financial markets, derivative pricing, and risk management principles.
  • Experience with regulatory frameworks such as Basel III/IV.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication abilities.

The ideal candidate will possess a proactive attitude, a keen eye for detail, and the ability to work effectively both independently and as part of a team. This hybrid role requires attendance in the Bradford office a minimum of 2-3 days per week, with the remaining days available for remote work. Join us to shape the future of financial risk management.
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Senior Quantitative Analyst - Risk Management

LS1 4BS Leeds, Yorkshire and the Humber £70000 Annually WhatJobs Direct

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full-time
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their Risk Management division. This critical role, based in Leeds, West Yorkshire, UK , involves developing and implementing sophisticated quantitative models to assess and manage financial risks across various portfolios. The ideal candidate will possess a strong academic background in a quantitative discipline, coupled with extensive experience in financial modelling, statistical analysis, and risk management within the banking sector.

Responsibilities:
  • Develop, validate, and implement quantitative models for credit risk, market risk, operational risk, and liquidity risk.
  • Perform complex statistical analysis and data mining to identify risk patterns and predict potential financial exposures.
  • Conduct back-testing and sensitivity analysis of models to ensure accuracy and robustness.
  • Contribute to the development of stress testing scenarios and their impact on capital adequacy.
  • Collaborate with business lines, IT, and other risk functions to integrate models into operational processes and systems.
  • Stay abreast of regulatory requirements (e.g., Basel Accords, IFRS 9) and ensure model compliance.
  • Prepare comprehensive reports and presentations on model performance, risk assessments, and recommendations for senior management.
  • Mentor junior quantitative analysts and provide technical guidance.
  • Contribute to the ongoing refinement and improvement of the firm's risk management framework.
  • Research and evaluate new quantitative techniques and methodologies.

Qualifications and Experience:
  • A Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Economics, or Financial Engineering.
  • Minimum of 5 years of experience as a Quantitative Analyst or in a similar role within the banking or financial services industry.
  • Proven expertise in developing and validating statistical and financial models.
  • Strong knowledge of risk management principles and regulatory frameworks (e.g., Basel III/IV, FRTB).
  • Proficiency in programming languages commonly used in quantitative finance, such as Python, R, C++, or MATLAB.
  • Experience with SQL and database management.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Ability to work independently and as part of a team in a fast-paced environment.

This is a challenging and rewarding opportunity for a skilled professional to make a significant contribution to the financial stability and strategic decision-making of a leading financial institution.
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Senior Quantitative Analyst - Risk Management

LS1 1UR Leeds, Yorkshire and the Humber £70000 Annually WhatJobs Direct

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full-time
Our client, a prestigious investment bank, is seeking an accomplished Senior Quantitative Analyst to join their dynamic Risk Management team in Leeds . This role is integral to developing and implementing sophisticated mathematical models and analytical tools to assess and mitigate financial risks across various asset classes. You will work on challenging problems related to market risk, credit risk, and operational risk, contributing to the bank's robust risk framework. The ideal candidate possesses a strong quantitative background, advanced programming skills, and a thorough understanding of financial markets and regulatory requirements. Key responsibilities:
  • Develop, implement, and validate quantitative models for risk measurement, including VaR, Expected Shortfall, and stress testing.
  • Analyze complex financial data to identify and quantify market, credit, and operational risks.
  • Design and build efficient algorithms and tools for risk analysis and reporting.
  • Collaborate with front-office traders, portfolio managers, and risk managers to understand their needs and provide analytical support.
  • Ensure compliance with regulatory requirements (e.g., Basel III/IV, FRTB) for risk models.
  • Research and stay current with the latest developments in quantitative finance and risk management techniques.
  • Automate risk reporting processes and enhance data quality.
  • Communicate complex quantitative concepts clearly to both technical and non-technical audiences.
  • Contribute to the ongoing enhancement and maintenance of the firm's risk management systems.
  • Perform ad-hoc quantitative analysis to support business initiatives and decision-making.
Qualifications:
  • Master's degree or Ph.D. in a quantitative discipline such as Finance, Mathematics, Physics, Statistics, or Computer Science.
  • Minimum of 5 years of relevant experience as a Quantitative Analyst or in a similar risk management role within the financial services industry.
  • Strong proficiency in programming languages such as Python, C++, R, or Java.
  • Experience with financial modeling, statistical analysis, and econometrics.
  • Knowledge of financial markets, derivatives, and portfolio theory.
  • Familiarity with risk management frameworks and regulatory guidelines.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain complex technical concepts.
  • Ability to work effectively both independently and as part of a collaborative team.
This is an excellent opportunity for a talented quantitative professional to make a significant impact within a leading financial institution. Enjoy a hybrid working model that combines the benefits of in-office collaboration and remote flexibility in our Leeds office.
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Senior Quantitative Analyst (Risk Management)

LS1 4 Leeds, Yorkshire and the Humber £80000 Annually WhatJobs Direct

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full-time
Our client, a prestigious financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their remote-first risk management team. This role is fully remote, offering unparalleled flexibility to work from anywhere within the UK. You will play a pivotal role in developing, validating, and implementing sophisticated quantitative models for market risk, credit risk, and operational risk. Your expertise will be crucial in ensuring the firm's compliance with regulatory requirements and supporting strategic decision-making.

Key responsibilities include designing and testing complex mathematical models, performing statistical analysis on large datasets, and developing risk metrics. You will collaborate closely with traders, portfolio managers, and technology teams to understand their needs and translate them into robust analytical solutions. Proficiency in programming languages such as Python, R, C++, or Java is essential for model implementation and backtesting. Experience with risk management software and financial databases is highly desirable.

The ideal candidate will possess a strong academic background in a quantitative field (e.g., Mathematics, Statistics, Physics, Financial Engineering) and a proven track record in quantitative finance or risk management within the banking or investment management sector. Deep understanding of financial markets, derivative pricing, and various risk methodologies (e.g., VaR, Expected Shortfall, Monte Carlo simulations) is required. Excellent problem-solving skills, meticulous attention to detail, and the ability to communicate complex quantitative concepts clearly to both technical and non-technical audiences are paramount. This fully remote position requires a high degree of self-motivation, discipline, and excellent communication skills to thrive in a distributed team environment. You will be instrumental in shaping the firm's risk framework and contributing to its long-term stability and growth. We are looking for individuals who are passionate about quantitative finance and eager to tackle challenging problems in a dynamic and intellectually stimulating remote setting. The ability to work independently while also contributing effectively to team projects is key to success in this role.
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