16 Type Temporary Salary Type Month jobs in the United Kingdom

My client is an established non-bank lender who provides complex, short term lending.

Responsibilities

• To underwrite and assess fully packaged loan applications in line with current risk appetite and criteria
• Make an initial call to the introducer upon receipt of the fully packaged loan application to confirm understanding of the deal, concerns etc.
• Add notes to Loan Origination System to ensure that case managers can understand what items remain outstanding and to ensure that all relevant case tasks have been actioned. Ensure all data fields are correctly updated
• Issue Underwriting Shopping List/ decline cases which are outside of policy/appetite
• Review post received
• Review valuations/AM/QS reports (liaising with Servicing for Refurbishment loans)
• Liaising with brokers and solicitors, ensuring queries are resolved
• Deal with third party phone calls which cannot be dealt with by the case managers, due to complexity
• Create a credit paper and ensure that this is always up to date
• Approve applications within mandate and prepare for EC/approval by senior mandate holder/funder where necessary
• Resolve 2nd Signatory/EC requirements prior to offer
• Issue of Mortgage Offers
• Ensure all matters are dealt with in line with business SLA.
• Deal with post offer legal queries
• Review COT/ROT
• Review of legal documents
• Facilitate completion
• Act in a professional manner in all dealings internally and externally
• Support the Company’s objectives in a positive manner

What you will Bring:

• Minimum of 3 years of complex underwriting experience (ideally 5 years+)
• In depth knowledge of MCOB and all other relevant regulatory obligations
• Excellent understanding of loan process
• Experienced in communicating with brokers and customers
• Exceptional attention to detail
• Experience of working in a SME business
• Strong oral and written communication skills

Salary: dependant on experience

Location: London (hybrid working)

My client is an established non-bank lender who provides complex, short term lending.

Responsibilities

• To underwrite and assess fully packaged loan applications in line with current risk appetite and criteria
• Make an initial call to the introducer upon receipt of the fully packaged loan application to confirm understanding of the deal, concerns etc.
• Add notes to Loan Origination System to ensure that case managers can understand what items remain outstanding and to ensure that all relevant case tasks have been actioned. Ensure all data fields are correctly updated
• Issue Underwriting Shopping List/ decline cases which are outside of policy/appetite
• Review post received
• Review valuations/AM/QS reports (liaising with Servicing for Refurbishment loans)
• Liaising with brokers and solicitors, ensuring queries are resolved
• Deal with third party phone calls which cannot be dealt with by the case managers, due to complexity
• Create a credit paper and ensure that this is always up to date
• Approve applications within mandate and prepare for EC/approval by senior mandate holder/funder where necessary
• Resolve 2nd Signatory/EC requirements prior to offer
• Issue of Mortgage Offers
• Ensure all matters are dealt with in line with business SLA.
• Deal with post offer legal queries
• Review COT/ROT
• Review of legal documents
• Facilitate completion
• Act in a professional manner in all dealings internally and externally
• Support the Company’s objectives in a positive manner

What you will Bring:

• Minimum of 3 years of complex underwriting experience (ideally 5 years+)
• In depth knowledge of MCOB and all other relevant regulatory obligations
• Excellent understanding of loan process
• Experienced in communicating with brokers and customers
• Exceptional attention to detail
• Experience of working in a SME business
• Strong oral and written communication skills

Salary: dependant on experience

Location: London (hybrid working)

Role:-

Managing all aspects of the research process, including methodology selection, data collection and analysis, prototyping, back-testing, and performance monitoring

Improvement of existing strategies

Portfolio optimization

Evaluating new datasets for alpha potential

Contributing to the continuous improvement of the investment process and the team’s research and trading infrastructure

Requirements:-

Excellent academic credentials, (best if top University, quantitative discipline, advanced degree, Finance is a plus);

Relevant market experience, (systematic investing and macro). Ideally you will have experience in short term macro futures.

Strong technical/programming skills

Mature individual with collegial interpersonal skills

This role is ideal for a quant who has spent 3-4 years in one place and looking to transition into a very collaborative set up where they can work very closely with management on the development of strategies.

Please send a PDF resume to

About the Role

We are seeking a technical expert to manage transformation projects through teams implementing innovative Aircraft Line Maintenance and Short-Term planning projects. These initiatives will leverage artificial intelligence tools and other advanced digital technologies to optimise aircraft health monitoring and short-term maintenance planning within the airline’s Line Maintenance and Short-Term planning Technical Operations environments.

Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager working closely with AI labs, data scientists, and operational experts to support the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions.

Key focus areas will include:

• Optimisation of aircraft health monitoring and predictive failure detection in Line Maintenance environments
• Development of predictive scheduling and anomaly detection tools
• Short-term planning and task assignment optimisation for Line Maintenance
• Deployment of technician decision-support copilots
• Development of integrated operational and Line Maintenance performance dashboards
• Next-generation labour and skills planning for Line Maintenance

The role aims to increase aircraft availability, reduce operational disruptions, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists.

The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a role that brings digital transformation into one of the most safety-critical and time-sensitive areas of the airline industry, ensuring that technological innovation is both practical and impactful.

Key Responsibilities

• Act as a Project Manager for the airline group’s predictive maintenance digital roadmap/strategy with focus on line operations and short-term planning.
• Help coordinate cross-functional teams across engineering, line maintenance, operations control, and digital/tech units to ensure alignment and adoption of AI-enabled solutions.
• Lead the project management of AI-powered tools for sensor data analysis, predictive maintenance scheduling, and short-term planning optimisation.
• Validate use cases and ensure scalability of predictive maintenance solutions across multiple operating companies (OpCos).
• Engage stakeholders and foster change management to embed predictive maintenance practices into day-to-day line maintenance workflows.
• Monitor and communicate KPIs to demonstrate impact on safety, operational reliability, aircraft availability, and cost efficiency.

Required Qualifications & Experience

• Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline.
• Extensive experience in aircraft maintenance with strong exposure to line maintenance and short-term planning.
• Solid knowledge of predictive maintenance methodologies, health monitoring systems, and planning optimisation tools.
• Proven track record of leading transformation or digitalisation projects in maintenance or operational environments.
• Native / Bilingual in English.

Ideal Candidate Profile

• Ability to bridge engineering expertise with data/AI-driven innovation.
• Familiarity with digital maintenance platforms, planning systems, and real-time operational dashboards.
• Strategic mindset with excellent communication and stakeholder management skills.
• Ability to operate effectively in a cross-functional, multicultural environment.
• Passion for driving innovation and digital transformation in the aviation industry.

What We Offer

• The opportunity to accelerate your career at the forefront of predictive maintenance and digital line operations, leading high-impact projects across a global aviation group.
• Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth.

About the Role

We are seeking a technical expert to manage transformation projects through teams implementing innovative Aircraft Line Maintenance and Short-Term planning projects. These initiatives will leverage artificial intelligence tools and other advanced digital technologies to optimise aircraft health monitoring and short-term maintenance planning within the airline’s Line Maintenance and Short-Term planning Technical Operations environments.

Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager working closely with AI labs, data scientists, and operational experts to support the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions.

Key focus areas will include:

• Optimisation of aircraft health monitoring and predictive failure detection in Line Maintenance environments
• Development of predictive scheduling and anomaly detection tools
• Short-term planning and task assignment optimisation for Line Maintenance
• Deployment of technician decision-support copilots
• Development of integrated operational and Line Maintenance performance dashboards
• Next-generation labour and skills planning for Line Maintenance

The role aims to increase aircraft availability, reduce operational disruptions, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists.

The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a role that brings digital transformation into one of the most safety-critical and time-sensitive areas of the airline industry, ensuring that technological innovation is both practical and impactful.

Key Responsibilities

• Act as a Project Manager for the airline group’s predictive maintenance digital roadmap/strategy with focus on line operations and short-term planning.
• Help coordinate cross-functional teams across engineering, line maintenance, operations control, and digital/tech units to ensure alignment and adoption of AI-enabled solutions.
• Lead the project management of AI-powered tools for sensor data analysis, predictive maintenance scheduling, and short-term planning optimisation.
• Validate use cases and ensure scalability of predictive maintenance solutions across multiple operating companies (OpCos).
• Engage stakeholders and foster change management to embed predictive maintenance practices into day-to-day line maintenance workflows.
• Monitor and communicate KPIs to demonstrate impact on safety, operational reliability, aircraft availability, and cost efficiency.

Required Qualifications & Experience

• Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline.
• Extensive experience in aircraft maintenance with strong exposure to line maintenance and short-term planning.
• Solid knowledge of predictive maintenance methodologies, health monitoring systems, and planning optimisation tools.
• Proven track record of leading transformation or digitalisation projects in maintenance or operational environments.
• Native / Bilingual in English.

Ideal Candidate Profile

• Ability to bridge engineering expertise with data/AI-driven innovation.
• Familiarity with digital maintenance platforms, planning systems, and real-time operational dashboards.
• Strategic mindset with excellent communication and stakeholder management skills.
• Ability to operate effectively in a cross-functional, multicultural environment.
• Passion for driving innovation and digital transformation in the aviation industry.

What We Offer

• The opportunity to accelerate your career at the forefront of predictive maintenance and digital line operations, leading high-impact projects across a global aviation group.
• Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth.

About the Role

We are seeking a technical expert to manage transformation projects through teams implementing innovative Aircraft Line Maintenance and Short-Term planning projects. These initiatives will leverage artificial intelligence tools and other advanced digital technologies to optimise aircraft health monitoring and short-term maintenance planning within the airline’s Line Maintenance and Short-Term planning Technical Operations environments.

Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager working closely with AI labs, data scientists, and operational experts to support the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions.

Key focus areas will include:

• Optimisation of aircraft health monitoring and predictive failure detection in Line Maintenance environments
• Development of predictive scheduling and anomaly detection tools
• Short-term planning and task assignment optimisation for Line Maintenance
• Deployment of technician decision-support copilots
• Development of integrated operational and Line Maintenance performance dashboards
• Next-generation labour and skills planning for Line Maintenance

The role aims to increase aircraft availability, reduce operational disruptions, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists.

The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a role that brings digital transformation into one of the most safety-critical and time-sensitive areas of the airline industry, ensuring that technological innovation is both practical and impactful.

Key Responsibilities

• Act as a Project Manager for the airline group’s predictive maintenance digital roadmap/strategy with focus on line operations and short-term planning.
• Help coordinate cross-functional teams across engineering, line maintenance, operations control, and digital/tech units to ensure alignment and adoption of AI-enabled solutions.
• Lead the project management of AI-powered tools for sensor data analysis, predictive maintenance scheduling, and short-term planning optimisation.
• Validate use cases and ensure scalability of predictive maintenance solutions across multiple operating companies (OpCos).
• Engage stakeholders and foster change management to embed predictive maintenance practices into day-to-day line maintenance workflows.
• Monitor and communicate KPIs to demonstrate impact on safety, operational reliability, aircraft availability, and cost efficiency.

Required Qualifications & Experience

• Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline.
• Extensive experience in aircraft maintenance with strong exposure to line maintenance and short-term planning.
• Solid knowledge of predictive maintenance methodologies, health monitoring systems, and planning optimisation tools.
• Proven track record of leading transformation or digitalisation projects in maintenance or operational environments.
• Native / Bilingual in English.

Ideal Candidate Profile

• Ability to bridge engineering expertise with data/AI-driven innovation.
• Familiarity with digital maintenance platforms, planning systems, and real-time operational dashboards.
• Strategic mindset with excellent communication and stakeholder management skills.
• Ability to operate effectively in a cross-functional, multicultural environment.
• Passion for driving innovation and digital transformation in the aviation industry.

What We Offer

• The opportunity to accelerate your career at the forefront of predictive maintenance and digital line operations, leading high-impact projects across a global aviation group.
• Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth.

About the Role

We are seeking a technical expert to manage transformation projects through teams implementing innovative Aircraft Line Maintenance and Short-Term planning projects. These initiatives will leverage artificial intelligence tools and other advanced digital technologies to optimise aircraft health monitoring and short-term maintenance planning within the airline’s Line Maintenance and Short-Term planning Technical Operations environments.

Please note this is not a data science or IT development role. The successful candidate will act as a Project Manager working closely with AI labs, data scientists, and operational experts to support the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions.

Key focus areas will include:

• Optimisation of aircraft health monitoring and predictive failure detection in Line Maintenance environments
• Development of predictive scheduling and anomaly detection tools
• Short-term planning and task assignment optimisation for Line Maintenance
• Deployment of technician decision-support copilots
• Development of integrated operational and Line Maintenance performance dashboards
• Next-generation labour and skills planning for Line Maintenance

The role aims to increase aircraft availability, reduce operational disruptions, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists.

The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a role that brings digital transformation into one of the most safety-critical and time-sensitive areas of the airline industry, ensuring that technological innovation is both practical and impactful.

Key Responsibilities

• Act as a Project Manager for the airline group’s predictive maintenance digital roadmap/strategy with focus on line operations and short-term planning.
• Help coordinate cross-functional teams across engineering, line maintenance, operations control, and digital/tech units to ensure alignment and adoption of AI-enabled solutions.
• Lead the project management of AI-powered tools for sensor data analysis, predictive maintenance scheduling, and short-term planning optimisation.
• Validate use cases and ensure scalability of predictive maintenance solutions across multiple operating companies (OpCos).
• Engage stakeholders and foster change management to embed predictive maintenance practices into day-to-day line maintenance workflows.
• Monitor and communicate KPIs to demonstrate impact on safety, operational reliability, aircraft availability, and cost efficiency.

Required Qualifications & Experience

• Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline.
• Extensive experience in aircraft maintenance with strong exposure to line maintenance and short-term planning.
• Solid knowledge of predictive maintenance methodologies, health monitoring systems, and planning optimisation tools.
• Proven track record of leading transformation or digitalisation projects in maintenance or operational environments.
• Native / Bilingual in English.

Ideal Candidate Profile

• Ability to bridge engineering expertise with data/AI-driven innovation.
• Familiarity with digital maintenance platforms, planning systems, and real-time operational dashboards.
• Strategic mindset with excellent communication and stakeholder management skills.
• Ability to operate effectively in a cross-functional, multicultural environment.
• Passion for driving innovation and digital transformation in the aviation industry.

What We Offer

• The opportunity to accelerate your career at the forefront of predictive maintenance and digital line operations, leading high-impact projects across a global aviation group.
• Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth.

About the Role

We are seeking a senior technical expert to lead strategy and drive transformation through the coordination of teams implementing innovative Aircraft Line Maintenance and Short-Term planning projects. These initiatives will leverage artificial intelligence tools and other advanced digital technologies to optimise aircraft health monitoring and short-term maintenance planning within the airline’s Line Maintenance and Short-Term planning Technical Operations environments.

Please note this is not a data science or IT development role. The successful candidate will act as a Subject Matter Expert (SME), working closely with AI labs, data scientists, and operational experts to guide the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions.

Key focus areas will include:

• Optimisation of aircraft health monitoring and predictive failure detection in Line Maintenance environments
• Development of predictive scheduling and anomaly detection tools
• Short-term planning and task assignment optimisation for Line Maintenance
• Deployment of technician decision-support copilots
• Development of integrated operational and Line Maintenance performance dashboards
• Next-generation labour and skills planning for Line Maintenance.

The role aims to increase aircraft availability, reduce operational disruptions, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists.

The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a strategic leadership position that brings digital transformation into one of the most safety-critical and time-sensitive areas of the airline industry, ensuring that technological innovation is both practical and impactful.

Key Responsibilities

• Define and execute the airline group’s predictive maintenance digital roadmap/strategy with focus on line operations and short-term planning.
• Coordinate cross-functional teams across engineering, line maintenance, operations control, and digital/tech units to ensure alignment and adoption of AI-enabled solutions.
• Lead the deployment of AI-powered tools for sensor data analysis, predictive maintenance scheduling, and short-term planning optimisation.
• Validate use cases and ensure scalability of predictive maintenance solutions across multiple operating companies (OpCos).
• Drive change management and stakeholder engagement to embed predictive maintenance practices into day-to-day line maintenance workflows.
• Monitor and communicate KPIs to demonstrate impact on safety, operational reliability, aircraft availability, and cost efficiency.

Required Qualifications & Experience

• Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline.
• Extensive experience in aircraft maintenance with strong exposure to line maintenance and short-term planning.
• Solid knowledge of predictive maintenance methodologies, health monitoring systems, and planning optimisation tools.
• Proven track record of leading transformation or digitalisation projects in maintenance or operational environments.
• Native / Bilingual in English.

Ideal Candidate Profile

• Ability to bridge engineering expertise with data/AI-driven innovation.
• Familiarity with digital maintenance platforms, planning systems, and real-time operational dashboards.
• Strategic mindset with excellent communication and stakeholder management skills.
• Ability to operate effectively in a cross-functional, multicultural environment.
• Passion for driving innovation and digital transformation in the aviation industry.

What We Offer

• The opportunity to accelerate your career at the forefront of predictive maintenance and digital line operations, leading high-impact projects across a global aviation group.
• Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth.