26 to 50 of 696 Degree Jobs in the City of London

Experience participating in ACBS version upgrades and migration projects. - Excellent troubleshooting, analytical, and problem-solving skills with a track record of resolving complex application and interface issues. - Bachelor’s degree in Computer Science, Information Technology, or a related field; or equivalent practical experience. OTHER REQUIREMENTS (OPTIONAL) - Experience working within large-scale financial services environments. - Familiarity with regulatory and compliance More ❯

Calypso , or Kondor+ . Exposure to cloud technologies (e.g., AWS , Azure ) and containerisation (e.g., Docker , Kubernetes ). Understanding of regulatory frameworks (e.g., MiFID II , EMIR ). Education: Bachelor’s degree in Computer Science, Engineering, Finance, or a related field. Relevant certifications (e.g., CFA, FRM, AWS Developer) are a plus. More ❯

production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

ODS, People Analytics, Canvas Reports) Exposure to AI/ML for HR analytics or predictive workforce planning Excellent communication and stakeholder management skills Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Systems, HR Analytics, or a related field 8+ years of experience in SAP Data & Analytics roles 3+ years of experience specifically in HR/HCM More ❯

maintained. Requirements: Proficiency in various programming languages and development frameworks Experience in application and development lifestyle management Experience in analysis and design, testing and documentation of software Bachelor’s degree in Computer Science, Information Technology, or a related field. 5+ years of experience in software development, with at least 3 years in a leadership or managerial role. Strong understanding More ❯

AI/ML, and introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product More ❯

against real-world benchmarks Contribute to internal tooling and infrastructure to support experimentation and deployment Publish original research and contribute to the broader ML/NLP community Technical Skills: Degree in Computer Science, Engineering, Bioinformatics, or related field (BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with More ❯

MLOps principles. - Shape and consult on broader data strategy and infrastructure. - Mentor and coach junior team members while staying ahead of emerging trends in AI and machine learning. Requirements - Degree in Statistics, Computer Science, or a related field. - 5+ years in data science with at least 2 years leading teams. - Proven success in production deployment of ML/LLM More ❯

quality, testing, and deployment standards. Help shape the long-term technical strategy and development roadmap. Manage a team of developers and QA engineers. What you’ll bring Bachelor’s degree in Computer Science or related STEM field (or equivalent experience). 10+ years of hands-on experience developing with C#/.NET in production environments. Strong command of SQL More ❯

data governance, metadata management, and data quality best practices. Experience in Agile, Scrum, or hybrid delivery methodologies. Knowledge of data warehousing, data visualization, and business intelligence tools. Bachelor's degree in Computer Science, Information Systems, Business, Actuarial Science, or related field. More ❯

AWS or GCP also considered). Experience working with APIs and tools like Postman for integration testing and troubleshooting. Excellent problem-solving , analytical , and communication skills. Desirable Certifications Bachelors degree in Data Science, Computer Science, Mathematics , or a related field. Microsoft Certified Azure Data Engineer Associate or Azure Database Administrator Associate . Snowflake Certified Data Engineer or equivalent certification More ❯

global projects. Contribute to thought leadership and internal research initiatives. About You Graduate from a top UK university (e.g. Oxford, Cambridge, Imperial, LSE, UCL, Durham, Warwick, or equivalent). Degree in a STEM discipline such as Mathematics, Physics, Engineering, or Computer Science. Strong analytical and quantitative skills with excellent attention to detail. Proficiency in Excel ; familiarity with Python, R More ❯

frameworks => IMPROVE & EVOLVE Becoming a trusted advisor and go-to expert for data-driven transformation => BUILD TRUST OK, AND HOW CAN YOU GET THERE? You have a Master’s degree in a relevant field such as Economics, Engineering, Data Science, Computer Science, Finance, or Business Analytics. You are fluent in English Max 3–5 years of experience in a More ❯

to business development, client pitches, and the organisation’s broader strategy. About you Minimum 5 years’ experience in a consultancy environment , leading delivery across complex, client-facing technical projects. Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS More ❯

technologies (eg, ChatGPT, Microsoft Copilot, AI workflow tools) Prior experience in Investment Management (ideally Private Markets) and/or financial services Experience working within regulated or data-sensitive sectors Degree level education or equivalent in IT, computer science, business or related field More ❯

proactive, ambitious approach, with the confidence to suggest business improvements. • Ability to work under pressure and turn challenges into opportunities. • International business experience (Europe & US) is a plus. • A degree in Finance, Mathematics, Economics, or a related field. If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by More ❯

with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on experience in production environments, emphasizing performance optimization and code quality. Python expertise: Advanced proficiency in Python for data engineering More ❯

of-concepts and pilot deployments Innovation input into Teceze’s EUC/DEX service portfolio Contribution to SOPs, reusable templates, and automation frameworks Required Skills & Experience Education Bachelor’s degree in Computer Science, Information Technology, or related field Postgraduate qualification or technical certifications preferred Professional Certifications ITIL Foundation (mandatory) Microsoft Certified: Modern Desktop Administrator/Endpoint Manager/Intune More ❯

software tools and UX based on project experience Support marketing and thought leadership content Contribute to internal improvement projects across the business What We’re Looking For: Education & Experience Degree from a top-tier university (Russell Group, Ivy League, or equivalent) At minimum, internship experience in a business, commercial, analytical, or consulting environment Up to 1 year of professional More ❯

present complex technical ideas to non-technical stakeholders Curious, proactive, and comfortable working in ambiguity in a scaling startup environment Proficiency with data visualisation tools such as Tableau, PowerBI Degree with 5+ years of relevant experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record More ❯

A self-starter who can plan and manage their own time effectively. Enthusiastic about continuous learning and professional development. Confident delivering to groups, both in person and virtually. Ideally degree-educated in a related field (e.g. Computer Science, Data Science, Mathematics), though not essential. What We Offer Alongside the opportunity to make a real impact through teaching and learning More ❯

technologies, identifying opportunities to apply new techniques and tools. Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Ability to translate business More ❯

technologies, identifying opportunities to apply new techniques and tools. Support business development by contributing to proposals, pitching solutions, and identifying new areas for consultancy services. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Ability to translate business More ❯

mentoring engineers, setting standards Familiarity with infrastructure-as-code and modern DevOps practices Ability to communicate effectively with technical and non-technical stakeholders Strong analytical and problem-solving skills Degree in Computer Science, Engineering, or equivalent experience Interest in financial services or experience in B2B software is advantageous More ❯

Eagerness to learn about trading systems, low-latency development, and financial markets. Experience with data analytics tools or frameworks (Python, SQL, Pandas, etc.) is advantageous but not essential. A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Why Join Us Work in a dynamic, high-impact environment where your code matters from day More ❯