Vermelo RPO

Delivery Manager - 12 month FTC Location: This is a flexible, hybrid role and can be based from any of our offices in Manchester, Stoke, Southport, Peterborough or Tunbridge Wells. We also have largely remote working options available. This role sits within out IT Operations department. As a Delivery Manager, you will be responsible for one or more squads, enabling them to develop and deliver exceptional technology products. You will coach and instil sustainable practices such as self-organisation, teamwork, and continuous improvement. Your role will be to cultivate a growth mindset, fostering a process, culture, and environment that empowers highly motivated, innovative squads to reach their full potential and deliver value for the business. Understanding the business delivery roadmap and technology landscape allows this role to effectively plan and ensure a reliably predictable change cycle. Key Accountabilities and Responsibilities: Lead teams and deliver change with your delivery expertise, utilising effective frameworks and best practices set out by the Head of Delivery Enablement. Provide effective coaching and guidance to your squads. Build, maintain and continually improve motivated, collaborative, and productive teams, fostering a positive and high-performing work environment. Support delivery by monitoring and reporting progress, ensuring timely and effective implementation. Communicate issues and impediments promptly to facilitate rapid decision-making. Manage expectations with senior colleagues and stakeholders, ensuring alignment and transparency. Track and report key performance metrics to stakeholders, providing insights into squad progress and areas for improvement. Collaborate closely with PM's, PO's and Senior DMs to prioritise and distribute work, ensuring alignment with organisational goals. Challenge teams to identify and address assumptions and risks throughout the delivery process, ensuring proactive risk management. Keep teams focused on delivering high-quality products and services, meeting or exceeding stakeholder expectations. Foster relationships for efficient cross-team collaboration and dependency management, enhancing overall organisational effectiveness. Collaborate with Technical Managers on resource allocation and feedback. Manage cross-squad dependencies to ensure seamless integration and collaboration. Continuously evaluate and improve best practices within the Delivery community. Skills, Experience and Knowledge: Proficiency in delivery practises including Agile and Lean, with a strong track record of building high-performing delivery teams using Scrum. Strong background in coaching with a passion for developing others. Ability to influence others and outstanding facilitation skills. Efficient in identifying and mitigating potential blockers or risks in delivery. Adequate technical understanding of software and the Software Development Life Cycle (SDLC). Ability to communicate effectively between technical and non-technical stakeholders. Skilled in communicating and visualising progress towards goals using delivery plans, metrics, and forecasting techniques. Familiarity with delivery management tools like Jira, Confluence, Trello, or Azure DevOps to streamline workflows (Advantageous). Experience in strategic planning and contributing to high-level decision-making (Advantageous). Relevant Agile certifications e.g. Certified Scrum Master, SAFe Agilist (Advantageous) Benefits: Starting with 24 days annual leave (plus bank holidays), this does increase with service Opportunity for a yearly bonus Collaborative, fast paced working environment Hybrid Working Modern, vibrant offices About Us Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence in the UK motor insurance market, we specialise in niche motor cover, where our solid market knowledge and experience enables us to create highly targeted products. Our success is underpinned by our underwriting strategy to identify and apply special risk factors to the customers' advantage. That, and our skilled underwriting technicians who are friendly, accessible and empowered to make decisions. We only transact business through professional UK insurance intermediaries and we take pride in fostering excellent working relationships. Our products feature prominently on Aggregators' sites, such as Confused, Go Compare and Compare the Market, via our broker partners.

Delivery Manager Location: This is a flexible, hybrid role and can be based from any of our offices in Manchester, Stoke, Southport, Peterborough or Tunbridge Wells. We also have largely remote working opportunities available. This role sits within out IT Operations department. As a Delivery Manager, you will be responsible for one or more squads, enabling them to develop and deliver exceptional technology products. You will coach and instil sustainable practices such as self-organisation, teamwork, and continuous improvement. Your role will be to cultivate a growth mindset, fostering a process, culture, and environment that empowers highly motivated, innovative squads to reach their full potential and deliver value for the business. Understanding the business delivery roadmap and technology landscape allows this role to effectively plan and ensure a reliably predictable change cycle. Key Accountabilities and Responsibilities: Lead teams and deliver change with your delivery expertise, utilising effective frameworks and best practices set out by the Head of Delivery Enablement. Provide effective coaching and guidance to your squads. Build, maintain and continually improve motivated, collaborative, and productive teams, fostering a positive and high-performing work environment. Support delivery by monitoring and reporting progress, ensuring timely and effective implementation. Communicate issues and impediments promptly to facilitate rapid decision-making. Manage expectations with senior colleagues and stakeholders, ensuring alignment and transparency. Track and report key performance metrics to stakeholders, providing insights into squad progress and areas for improvement. Collaborate closely with PM's, PO's and Senior DMs to prioritise and distribute work, ensuring alignment with organisational goals. Challenge teams to identify and address assumptions and risks throughout the delivery process, ensuring proactive risk management. Keep teams focused on delivering high-quality products and services, meeting or exceeding stakeholder expectations. Foster relationships for efficient cross-team collaboration and dependency management, enhancing overall organisational effectiveness. Collaborate with Technical Managers on resource allocation and feedback. Manage cross-squad dependencies to ensure seamless integration and collaboration. Continuously evaluate and improve best practices within the Delivery community. Skills, Experience and Knowledge: Proficiency in delivery practises including Agile and Lean, with a strong track record of building high-performing delivery teams using Scrum. Strong background in coaching with a passion for developing others. Ability to influence others and outstanding facilitation skills. Efficient in identifying and mitigating potential blockers or risks in delivery. Adequate technical understanding of software and the Software Development Life Cycle (SDLC). Ability to communicate effectively between technical and non-technical stakeholders. Skilled in communicating and visualising progress towards goals using delivery plans, metrics, and forecasting techniques. Familiarity with delivery management tools like Jira, Confluence, Trello, or Azure DevOps to streamline workflows (Advantageous). Experience in strategic planning and contributing to high-level decision-making (Advantageous). Relevant Agile certifications e.g. Certified Scrum Master, SAFe Agilist (Advantageous) Benefits: Starting with 24 days annual leave (plus bank holidays), this does increase with service Opportunity for a yearly bonus Collaborative, fast paced working environment Hybrid Working Modern, vibrant offices About Us Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence in the UK motor insurance market, we specialise in niche motor cover, where our solid market knowledge and experience enables us to create highly targeted products. Our success is underpinned by our underwriting strategy to identify and apply special risk factors to the customers' advantage. That, and our skilled underwriting technicians who are friendly, accessible and empowered to make decisions. We only transact business through professional UK insurance intermediaries and we take pride in fostering excellent working relationships. Our products feature prominently on Aggregators' sites, such as Confused, Go Compare and Compare the Market, via our broker partners.

Graduate Product Test Analyst Manchester or Whitstable Monday - Friday: 9 am to 5 pm (Hybrid working) Role Purpose: You will be responsible for the scheduling and testing of product rates updates, fixes and new developments across a variety of product lines and systems. This will constitute a mix of excel based spreadsheets, ReadyAPI projects and direct software house unit testing. Key Responsibilities Working with the business to organise updates into sprints using our Service Now ticketing portal. Updating, running and maintaining excel-based testpacks. Reporting issues in an appropriate manner to be fixed. Analysing product updates for testing purposes. Writing and running new assertion based testing within ReadyAPI. Running unit based testing against Landscape or software house systems. Creating and/or refining testing processes. Working closely with underwriting, product writing and scheduling to maintain and improve the speed of delivery. Regular tasks Adding testing timescales to rates updates and developments. Returning testing queries to underwriting and product writing. Keeping track of testing volume and time spent on individual tickets. Essential Skills Excellent analytical skills. Responds well to critical feedback. Very strong attention to detail. Excellent time management and organisational skills Innovative and change embracing. Uses own initiative, can work independently or as part of a team as the need requires. Qualifications / Experience Essential - Excellent excel formula knowledge. Essential - Proven record of accomplishment in teamwork. Essential - Experience working under pressure with tight timescales. Desirable - ReadyAPI, Java or other coding experience. Desirable - Experience with software house front-end systems. Desirable - General motor and home insurance knowledge.

Job Title: Data Scientist (Modelling & Insight) Location: Manchester (hybrid working) Role Overview Markerstudy Group are looking for an experienced Data Scientist to join a fast growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. As a Data Scientist, you will use your advanced analytical skills to directly influence insurer panel performance, ensuring our broking arm maintains a competitive edge through data-driven strategies and advanced analytics. Deliver outstanding and actionable customer insights Have responsibility for providing insights and support the building data products that helps shape Markerstudy s strategic roadmaps and customer propositions Support the delivery, maintanence and ongoing support of the Data Insight and Enrichment integration strategy across the group Work collaboratively with other areas to increase overall company performance Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of high-impact analytics and modelling projects to support strategic decision-making. Proactively identify and deliver innovative, data-led opportunities that drive measurable business impact Act as a subject matter expert in analytics and data science, providing technical guidance. Coach and mentor junior analysts, reviewing code and outputs to ensure quality and consistency. Maintain robust technical documentation and ensure compliance with data governance and regulatory standards. Support cross-functional initiatives such as the Trading Transformation Programme as a technical expert. Collaborate with stakeholders across pricing, marketing, and insurer relations to embed insights into business processes. Comply with all regulatory obligations with regards to customer data, competition law and other relevant guidance/ legislation. Key Skills and Experience: Previous demonstratable Data Science / Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication and storytelling skills, with the ability to translate complex data into actionable insights. Experience reviewing the work of junior analysts. Ability to work independently, manage multiple priorities, and proactively share insights. Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals! Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation.