What Jobs are available for Program Management in West Yorkshire?
Showing 13 Program Management jobs in West Yorkshire
Planning and Project Controls Manager
Posted 2 days ago
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Job Description
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.
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Senior Actuarial Analyst - Risk Management
Posted today
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Job Description
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.
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Senior Quantitative Analyst (Risk Management)
Posted today
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Job Description
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.
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Senior Quantitative Analyst - Risk Management
Posted today
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Job Description
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
Posted today
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Job Description
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
Posted today
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Job Description
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.
- 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.
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Senior Quantitative Analyst - Risk Management
Posted today
Job Viewed
Job Description
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
Posted today
Job Viewed
Job Description
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
Posted today
Job Viewed
Job Description
- 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.
- 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.
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Senior Quantitative Analyst (Risk Management)
Posted today
Job Viewed
Job Description
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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