University of Colorado Anschutz Medical Campus Department: Radiology Job Title: Information Sciences Professional (Intermediate, Senior, Principal -- Open Rank), part-time (0.2 FTE; qualification dependent) Position #: 00846872 – Requisition #:39640 Job Summary: Nature of Work Information Science Professionals utilize applied or computational mathematical analyses for a wide array of different applications and to solve complex problems. Experiments may include text interpretation, coding, ground theory methodology for the analysis of certain data, and quantum state analyses. Information Science Professionals may also perform duties in labs that use primarily electronic equipment. This Information Science Professional will be operating as a Machine Learning (ML) Engineer to help the Department of Radiology create artificial intelligence analysis of medical images. Working under the Principal Investigator (PI), Dr. Bennett Chin. The ML Engineer will be assisting with the creation of machine learning models and retraining systems using radiology data. To do this job successfully, the candidate will need exceptional skills in mathematics and programming; knowledge of data science and experience with software engineering is desired. The ultimate goal of this position will be to shape and build efficient deep learning applications. This is a part-time, 0.2 FTE, position with an option to work remotely. Examples of Duties Performed Intermediate Level: - Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data analysis - Perform scientifically rigorous data management and bioinformatic analyses. - Run machine learning tests and experiments. - Computer System software maintenance and security. - Assist with selection of appropriate datasets and data representation methods. - Perform evaluation and analysis of test results. - Train and retrain systems when necessary. - Develop and disseminate a variety of tools designed to access relevant clinical and sample data - Develop machine learning applications according to requirements. - Research and implement appropriate ML algorithms and tools. - Develop and implement complex analyses pipelines, programming, and data visualization techniques - Extend existing ML libraries and frameworks. - Creatively and effectively integrate data from multiple sources to accelerate discoveries - Study and transform data science prototypes. - Assist with the design and development of major bioinformatics-related programming projects - Write custom scripts to access databases and analyze data - Keep abreast of developments in the field. - Independently and creatively identify bioinformatic and data management solutions. - Assist Team Leads, Supervisors and/or management with creation and implementation of processes and procedures and - quality improvement initiatives. - Assist and train junior team members. Senior Level, all of the above and: - Assist with developing or develop protocol-specific systems and documents including process flows, training manuals, - and Standard Operating Procedures (SOPs). Maintains subject level documentation and prepares documents, equipment - and/or supplies. - Assist with identifying issues related to operational efficiency and shares results with leadership. - Provide the biostatistical/data science expertise and leadership in study design, study oversight, data management, - data analysis and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research - activities across a wide range of disciplines. - Serve as a resource to PIs and other stakeholders. Principal Level, all of the above and: - Act as a Subject Matter Expert and authority in the area of machine learning. This description is a summary only and describes the general level of work being performed, it is not intended to be all inclusive. The duties of this position may change from time to time and/or based on business need. We reserve the right to add or delete duties and responsibilities at the discretion of the supervisor and/or hiring authority. Work Location: Remote – this role is eligible to work remotely, but the employee must be in the United States. Why Join Us: The University of Colorado Anschutz Medical Campus is a public education, clinical and research facility serving 4,500 students, and a world-class medical destination at the forefront of life-changing science, medicine, and healthcare. CU Anschutz offers more than 42 highly rated degree programs through 6 schools and colleges, and receives over $500 million in research awards each year. We are the single largest health professions education provider in Colorado, awarding nearly 1,450 degrees annually. Powered by our award-winning faculty, renowned researchers and a reputation for academic excellence, the CU Anschutz Medical Campus drives innovation from the classroom to the laboratory to the delivery of unparalleled patient care. Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including: - Medical: Multiple plan options - Dental: Multiple plan options - Additional Insurance: Disability, Life, Vision - Retirement 401(a) Plan: Employer contributes 10%25 of your gross pay - Paid Time Off: Accruals over the year - Vacation Days: 22/year (maximum accrual 352 hours) - Sick Days: 15/year (unlimited maximum accrual) - Holiday Days: 15/year - Tuition Benefit: Employees have access to this benefit on all CU campuses - ECO Pass: Reduced rate RTD Bus and light rail service There are many additional perks & programs with the CU Advantage. Qualifications: Minimum Qualifications Intermediate Level: - Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, Mathematics, or related field. - A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis. - One (1) year professional data management and bioinformatic analyses experience. Senior Level: - Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field. - A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis. - Two (2) years professional data management and bioinformatic analyses experience. Principal Level: - Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field. - A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis. - Minimum three (3) years professional data management and bioinformatic analyses experience. Applicants must meet minimum qualifications at the time of hire. Preferred Qualifications: - Master’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, - Mathematics, or related field. - One (1) to four (4) years of experience analyzing data using high-performance computing. Knowledge, Skills, and Abilities: - Strong to expert ability to analyze and solve complex problems and apply quantitative analytical approaches, depending - on level. - Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn - new programming languages as necessary. - Understanding of data structures, data modeling and software architecture. - Deep knowledge of math, probability, statistics and algorithms. - Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). - Ability to communicate effectively, both in writing and orally. - Ability to establish and maintain effective working relationships with employees at all levels throughout the institution How to Apply: For full consideration, please submit the following document(s): - letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position - Curriculum vitae / Resume - Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address Questions should be directed to: Victoria Bress, email: Victoria.bress@cuanschutz.edu. Screening of Applications Begins: Applications will be accepted until finalists are identified, but preference will be given to complete applications received by 04/21/26. Those who do not apply by this date may or may not be considered. Anticipated Pay Range: The starting salary range (or hiring range) for this part-time (0.2 FTE) position has been established at: - Intermediate Professional - $28.06 to $37.60 per hour ($11,672.60 to $15,641.40 annually) - Senior Professional - $30.33 to $40.65 per hour ($12,619.20 to $16,909.60 annually) - Principal Professional - $34.88 to $46.75 per hour ($14,512.00 to $19,446.00 annually) The above salary range (or hiring range) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is eligible for overtime compensation. Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator Equal Employment Opportunity Statement: CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. ADA Statement: The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@cuanschutz.edu​. Background Check Statement: The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees. Vaccination Statement: CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.

University of Colorado Anschutz Medical Campus Department: Radiology Job Title: Information Sciences Professional (Intermediate, Senior, Principal -- Open Rank), part-time (0.2 FTE; qualification dependent) Position #: 00846872 – Requisition #:39640 Job Summary: Nature of Work Information Science Professionals utilize applied or computational mathematical analyses for a wide array of different applications and to solve complex problems. Experiments may include text interpretation, coding, ground theory methodology for the analysis of certain data, and quantum state analyses. Information Science Professionals may also perform duties in labs that use primarily electronic equipment. This Information Science Professional will be operating as a Machine Learning (ML) Engineer to help the Department of Radiology create artificial intelligence analysis of medical images. Working under the Principal Investigator (PI), Dr. Bennett Chin. The ML Engineer will be assisting with the creation of machine learning models and retraining systems using radiology data. To do this job successfully, the candidate will need exceptional skills in mathematics and programming; knowledge of data science and experience with software engineering is desired. The ultimate goal of this position will be to shape and build efficient deep learning applications. This is a part-time, 0.2 FTE, position with an option to work remotely. Examples of Duties Performed Intermediate Level: - Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data analysis - Perform scientifically rigorous data management and bioinformatic analyses. - Run machine learning tests and experiments. - Computer System software maintenance and security. - Assist with selection of appropriate datasets and data representation methods. - Perform evaluation and analysis of test results. - Train and retrain systems when necessary. - Develop and disseminate a variety of tools designed to access relevant clinical and sample data - Develop machine learning applications according to requirements. - Research and implement appropriate ML algorithms and tools. - Develop and implement complex analyses pipelines, programming, and data visualization techniques - Extend existing ML libraries and frameworks. - Creatively and effectively integrate data from multiple sources to accelerate discoveries - Study and transform data science prototypes. - Assist with the design and development of major bioinformatics-related programming projects - Write custom scripts to access databases and analyze data - Keep abreast of developments in the field. - Independently and creatively identify bioinformatic and data management solutions. - Assist Team Leads, Supervisors and/or management with creation and implementation of processes and procedures and - quality improvement initiatives. - Assist and train junior team members. Senior Level, all of the above and: - Assist with developing or develop protocol-specific systems and documents including process flows, training manuals, - and Standard Operating Procedures (SOPs). Maintains subject level documentation and prepares documents, equipment - and/or supplies. - Assist with identifying issues related to operational efficiency and shares results with leadership. - Provide the biostatistical/data science expertise and leadership in study design, study oversight, data management, - data analysis and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research - activities across a wide range of disciplines. - Serve as a resource to PIs and other stakeholders. Principal Level, all of the above and: - Act as a Subject Matter Expert and authority in the area of machine learning. This description is a summary only and describes the general level of work being performed, it is not intended to be all inclusive. The duties of this position may change from time to time and/or based on business need. We reserve the right to add or delete duties and responsibilities at the discretion of the supervisor and/or hiring authority. Work Location: Remote – this role is eligible to work remotely, but the employee must be in the United States. Why Join Us: The University of Colorado Anschutz Medical Campus is a public education, clinical and research facility serving 4,500 students, and a world-class medical destination at the forefront of life-changing science, medicine, and healthcare. CU Anschutz offers more than 42 highly rated degree programs through 6 schools and colleges, and receives over $500 million in research awards each year. We are the single largest health professions education provider in Colorado, awarding nearly 1,450 degrees annually. Powered by our award-winning faculty, renowned researchers and a reputation for academic excellence, the CU Anschutz Medical Campus drives innovation from the classroom to the laboratory to the delivery of unparalleled patient care. Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including: - Medical: Multiple plan options - Dental: Multiple plan options - Additional Insurance: Disability, Life, Vision - Retirement 401(a) Plan: Employer contributes 10%25 of your gross pay - Paid Time Off: Accruals over the year - Vacation Days: 22/year (maximum accrual 352 hours) - Sick Days: 15/year (unlimited maximum accrual) - Holiday Days: 15/year - Tuition Benefit: Employees have access to this benefit on all CU campuses - ECO Pass: Reduced rate RTD Bus and light rail service There are many additional perks & programs with the CU Advantage. Qualifications: Minimum Qualifications Intermediate Level: - Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, Mathematics, or related field. - A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis. - One (1) year professional data management and bioinformatic analyses experience. Senior Level: - Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field. - A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis. - Two (2) years professional data management and bioinformatic analyses experience. Principal Level: - Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or related field. - A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis. - Minimum three (3) years professional data management and bioinformatic analyses experience. Applicants must meet minimum qualifications at the time of hire. Preferred Qualifications: - Master’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, - Mathematics, or related field. - One (1) to four (4) years of experience analyzing data using high-performance computing. Knowledge, Skills, and Abilities: - Strong to expert ability to analyze and solve complex problems and apply quantitative analytical approaches, depending - on level. - Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn - new programming languages as necessary. - Understanding of data structures, data modeling and software architecture. - Deep knowledge of math, probability, statistics and algorithms. - Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). - Ability to communicate effectively, both in writing and orally. - Ability to establish and maintain effective working relationships with employees at all levels throughout the institution How to Apply: For full consideration, please submit the following document(s): - letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position - Curriculum vitae / Resume - Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address Questions should be directed to: Victoria Bress, email: Victoria.bress@cuanschutz.edu. Screening of Applications Begins: Applications will be accepted until finalists are identified, but preference will be given to complete applications received by 04/21/26. Those who do not apply by this date may or may not be considered. Anticipated Pay Range: The starting salary range (or hiring range) for this part-time (0.2 FTE) position has been established at: - Intermediate Professional - $28.06 to $37.60 per hour ($11,672.60 to $15,641.40 annually) - Senior Professional - $30.33 to $40.65 per hour ($12,619.20 to $16,909.60 annually) - Principal Professional - $34.88 to $46.75 per hour ($14,512.00 to $19,446.00 annually) The above salary range (or hiring range) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is eligible for overtime compensation. Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line. Total Compensation Calculator Equal Employment Opportunity Statement: CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. ADA Statement: The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at hr.adacoordinator@cuanschutz.edu​. Background Check Statement: The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees. Vaccination Statement: CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.

Position Name: Senior SOC Analyst Reports to: Team Lead, SOC Location: Remote, Philippines Role Overview Atlas Technica's mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown year over year through our uncompromising focus on service. We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now! We are seeking a Senior SOC Analyst to support day-to-day security monitoring and alert triage. Responsibilities - Lead high-severity incident response - Mentor junior analysts - Improve detection logic and workflows - Coordinate response across teams - Conduct threat hunting - Contribute to metrics and reporting - Assist with documentation and training Requirements - Experience in SOC or incident response roles - Strong analytical and investigative skills - Experience with SIEM and EDR - Ability to lead incidents effectively Desirable Qualities - Experience in regulated or financial environments - Threat hunting or detection engineering exposure Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SOC Analyst Level 2 Homebased (UK) Competitive salary In this role you will be responsible for handing security incidents received/escalated from the CSOC Analyst (Tier 1) and you will need to perform a business impact analysis on the security incident. You’ll be leveraging a deep understanding of information security technologies as well as aid in triaging threat intelligence from multiple sources and add contextual information to the security incident, perform additional analysis and based on the business impact will recommend the response actions and escalation path. Eligibility for SC clearance required At Capita, we live by our values: 🤝 Customer First, Always; 🧑‍💻 Fearless Innovation; ✅ Achieve Together; 💙 Everyone is Valued. These guide how we work, collaborate, and deliver exceptional results. Job title: SOC Analyst Level 2 Job Description: Skill Set – SOC Analyst Level 2 (Sentinel SIEM & MDE/XDR) Core SIEM & XDR Technical Skills - Proven hands‑on experience investigating escalated security incidents using Microsoft Sentinel (SIEM), including log correlation, alert analysis, and incident ownership - Strong operational knowledge of Microsoft Defender for Endpoint (MDE) and Microsoft XDR, including device investigation, alert enrichment, containment actions, and evidence gathering - Ability to perform advanced KQL queries across Sentinel and MDE Advanced Hunting to support deep‑dive investigations and threat hunting - Experience analysing telemetry from multiple security data sources (endpoint, identity, network, cloud) to build a complete incident narrative Incident Response & Analysis Skills - Strong capability to own and manage escalated incidents from Level 1 analysts through investigation, containment, escalation, and closure - Ability to perform business impact assessments, determining severity, risk, and appropriate response actions based on organisational impact - Experience participating in major incident and crisis management, supporting Level 3 analysts and incident handlers during high‑severity events - Skilled in documenting investigations and remediation actions within ServiceNow / Remedy, ensuring clear audit trails and SLA compliance Threat Intelligence & Threat Hunting Skills - Ability to operationalise threat intelligence, including IOCs, TTPs, and MITRE ATT\&CK techniques, to support proactive detection and investigation - Experience conducting proactive threat hunting using Sentinel and MDE hunting capabilities to identify suspicious or low‑signal activity - Capability to enrich incidents with contextual intelligence from internal and external threat feeds Detection Engineering & Continuous Improvement - Experience maintaining, tuning, and improving Sentinel analytics rules and MDE detections to reduce false positives and improve detection fidelity - Ability to identify noisy or ineffective alerts and recommend improvements to SOC detection logic and playbooks - Familiarity with detection lifecycle management and alert quality assurance within a production SOC Operational & SOC Process Skills - Strong understanding of SOC workflows, escalation paths, and SLAs, particularly within a hybrid SOC operating model - Ability to work independently under pressure while managing multiple concurrent incidents - Experience collaborating with resolver groups (AD, Infrastructure, EUC, Cloud, Network) during incident remediation Communication & Leadership Skills - Ability to clearly communicate technical findings to technical and non‑technical stakeholders, including customers and service owners - Contributes to SOC knowledge sharing, training, and playbook developments Qualifications & Experience Essential - Demonstrable experience working in a Security Operations Centre (SOC) or equivalent cyber security operations role - Demonstrable experience using Microsoft Sentinel and Microsoft Defender for Endpoint in a live SOC environment - Strong understanding of enterprise security concepts, including endpoint security, identity threats, malware behaviour, and lateral movement Desirable - Industry certifications such as: - SC‑200 (Microsoft Security Operations Analyst) - Bsc Computing in Engineering or information systems - CompTIA Security+ - CEH or equivalent - Strong Scripting or automation experience (e.g. KQL, PowerShell, Python) to enhance investigation efficiency - Experience working in regulated or high‑security environments (e.g. government, critical national infrastructure) Nice to Have - Exposure to MITRE ATT\&CK mapping, detection engineering, or purple‑team activities - Experience contributing to SOC reporting, dashboards, or executive summaries How this role aligns to Capita’s values Customer First Always By accurately assessing the business impact of security incidents and recommending proportionate response actions, the SOC Analyst Level 2 helps protect customer services, data, and trust. Fearless Innovation The role actively improves detection and response by tuning Sentinel analytics, leveraging advanced KQL hunting, and applying threat intelligence to stay ahead of emerging cyber threats. Achieve Together Working closely with Level 1 analysts, Level 3 specialists, and resolver teams across infrastructure, cloud, and endpoint services, the role ensures incidents are managed collaboratively and effectively end‑to‑end. Everyone is Valued Through clear communication, thorough investigation documentation, and knowledge sharing within the SOC, the role supports an inclusive, learning-focused team where contributions and expertise are recognised. Join Capita – Where Innovation Meets Opportunity Capita is a dynamic leader in consulting and digital services, helping some of the UK’s most recognised organisations transform and thrive. We use cutting-edge technology and fearless innovation to create smarter, more efficient solutions that make a real difference. Our work spans diverse sectors—government, healthcare, education, and finance—offering you the chance to contribute to projects that impact millions of lives. At Capita, you’ll be part of a collaborative, forward-thinking team that values creativity, growth, and inclusion. We’re committed to your development and success, providing opportunities to learn, progress, and shape better outcomes for customers and communities. If you’re ready to make an impact and grow your career, Capita is the place for you. Check out our website www.capita.com What’s in it for you? - 💻 Remote – work from wherever you’re happiest in the UK - 💰 Competitive Salary - 🌴 23 days’ holiday, rising to 27 (pro rata) – plus the option to buy more after qualifying period - ❤️ Paid volunteering day with a charity of your choice - 🍼 Generous family leave policies – including 15 weeks’ fully paid maternity, adoption, and shared parental leave - 🚴‍♀️ Cycle2Work scheme, pension, life assurance, and more 🤝 Customer first, always​🧑‍💻 Fearless innovation​✅ Achieve together​💙 Everyone is valued What we hope you’ll do next: Choose ‘Apply now’ to fill out our short application, so that we can find out more about you. We are committed to building a workforce that reflects the diversity of the communities we serve. As part of our strategic goals, we are focused on accelerating gender and ethnic representation in leadership roles. We warmly encourage applications from women and individuals from Black, Asian, and other ethnic minority backgrounds. We’re an equal opportunity and Disability Confident employer, which means we recruit and develop people based on their merit and passion. We’re committed to providing an inclusive, barrier-free recruitment process and working environment for everyone. If you need the job description or application form in an alternative format (such as large print or audio), or if you’d like to discuss other changes or support you might need going forward, please email reasonableadjustments@capita.com and we’ll get back to you. For more information about equal opportunities and process adjustments, please visit the Capita Careers website. Location: Home-Based - GBR, United Kingdom Time Type: Full time Contract Type: Permanent