senior analytics engineer

associate data scientist

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account coordinator

agentic / genai consultant / senior consultant Jobs in London

associate director analytics global clients

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. As a part of CDAO, The Machine Learning Center of Excellence (MLCOE) partners across the firm to shape, create, and deploy Machine Learning Solutions for our most challenging business problems. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p><p>
As an intern within the MLCOE, you will apply sophisticated machine learning methods to a diverse range of complex domains, including natural language processing, large language models, speech recognition and understanding, reinforcement learning, and recommendation systems. You will collaborate closely with MLCOE mentors, business experts, and technologists, conducting independent research and deploying solutions into production. A strong passion for machine learning, solid expertise in deep learning with hands-on implementation experience, and a commitment to continuous learning and innovation are essential. This role offers a unique opportunity to contribute to and learn from a world-class machine learning team. Learn more about our MLCOE team at jpmorgan.com/mlcoe.</p><p>
Our Summer Associate Internship Program begins in June, depending on your academic calendar. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, an engaging speaker series with our senior leaders and more. Your project will have direct impact on JPMorgan's businesses, will be integrated into our product pipelines, or be part of published research in top AI/ML conferences. Full-time employment offers may be extended upon successful completion of the program within our hybrid work model.</p><p><b>
Job responsibilities</b></p><ul><li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Enrolled in a PhD or MS in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science, or related fields, or equivalent research or industry experience,</li><li>
Expected graduation date of December 2026 through August 2027</li><li>
Solid background in NLP, large language models, speech recognition and modelling, or personalization/recommendation. Familiarity with state-of-the-art practice in these domains</li><li>
Proficient in Python, and experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>
Scientific thinking, ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical, and business audiences</li><li>
Ability to work both independently and in highly collaborative team environments</li></ul><p><b>
Preferred qualifications, capabilities, and skills</b></p><ul><li>
Strong background in Mathematics and Statistics</li><li>
Familiarity with the financial services industries</li><li>
Published research in areas of natural language processing, deep learning, or reinforcement learning at a major conference or journal</li><li>
Ability to develop and debug production-quality code</li><li>
Familiarity with continuous integration models and unit test development</li><li>
Published research in areas of natural language processing, speech recognition, reinforcement learning, or deep learning at a major conference or journal</li></ul><p>
#MLCOE_jobs</p><p><br>
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</div></div></div>

2026 Machine Learning Center of Excellence (NLP)-Internship

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Client360 is one of JPMorgan Chase Commercial &amp; Investment Bank's strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale.</p>
<p>As a Research and Development Lead you will spearhead the exploration and development of innovative data solutions and processes for Client360. Your role involves piloting and implementing cutting-edge solutions that expand Client360 capabilities, improve client experience, and drive operational performance. You will be responsible for identifying emerging trends, evaluating new tools, and fostering a culture of experimentation within the organization.</p>
<p>Within Data, Digital and AI, you will manage the planning and execution of R&amp;D initiatives, working closely with cross-functional teams to deliver measurable business outcomes. By championing innovation, supporting compliance, and integrating insights from various sources, you will help advance CRM transformation across multiple lines of business, enabling enterprise-wide change and supporting long-term growth.</p>
<p></p><p><b>Job Responsibilities</b></p>
<ul><li>Manages the delivery and optimization of research and development initiatives for Client360, ensuring alignment with CIB-wide goals and organizational objectives.</li>
<li>Participates in the planning, execution, and risk management of R&amp;D programs, including frameworks for experimentation, technology evaluation, and operational efficiency.</li>
<li>Supports R&amp;D initiatives, adapting to evolving business needs and managing risks to achieve objectives.</li>
<li>Coaches and mentors junior team members on best practices in research, solution generation, stakeholder engagement, and change management, enabling effective delivery of objectives.</li>
<li>Monitors R&amp;D performance and supports enhancements to achieve business outcomes and improve user satisfaction.</li>
<li>Collaborates with engineering, operations, and business teams to evaluate, pilot, and implement new technologies and processes, ensuring scalability, reliability, and user-centricity.</li>
<li>Helps define the innovation experience for Client360, focusing on process optimization, data-driven insights, and stakeholder satisfaction.</li>
<li>Assists in establishing and monitoring key performance indicators, ensuring R&amp;D initiatives deliver measurable business value and support long-term strategic goals.</li>
<li>Leverages analytics and emerging technologies to help derive actionable insights from integrated data and third-party sources, supporting comprehensive client profiles and improved decision-making.</li>
<li>Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of innovative solutions.</li>
<li>Utilizes R&amp;D initiatives to deliver personalized client experiences, streamline operations, and enhance decision-making, while supporting regulatory compliance and risk management.</li>
</ul><p></p><p><b>Required qualifications, capabilities, and skills</b>
</p><ul><li>5+ years of experience or equivalent expertise delivering research and development initiatives, business projects, or transformation programs.</li>
<li>Strong knowledge of R&amp;D processes, business process improvement, strategic planning, and data analytics.</li>
<li>Demonstrated ability to support adoption of key R&amp;D lifecycle activities including discovery, ideation, development, requirements definition, and value management.</li>
<li>Experience supporting change within organizations and managing stakeholders across multiple functions.</li>
<li>Track record of contributing to large-scale R&amp;D, technology integration, or analytics projects.</li>
<li>Good understanding of technology evaluation, data governance, regulatory compliance, and operational risk management.</li>
<li>Excellent problem-solving skills and strategic thinking about R&amp;D initiatives and their impact on organizational objectives.</li>
<li>Strong communication and interpersonal skills, with the ability to articulate and present complex research concepts and insights to both technical and non-technical audiences.</li>
<li>Experience with emerging technologies and best practices in research, business analytics, and CRM</li>
<li>Experience with emerging technologies and best practices in business analytics and CRM.</li>
<li>Experience in research and development, technology evaluation, business process management, CRM systems, or related fields within a financial institution.</li>
<li>Bachelor's degree in Business, Data Science, Engineering, or a related field.</li>
<li>Experience in ensuring customers and stakeholders are engaged and positive about the solutions delivered.</li><br>
</ul><p></p><br>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Product Manager - R&D - Data Scientist Lead

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Client360 is one of JPMorgan Chase Commercial &amp; Investment Bank's strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale.</p>
<p>Are you passionate about Agentic AI and operational transformation? As the Agentic AI Operations Lead, you will drive the development and management of agentic AI solutions, enabling intelligent automation across Client360. You will help shape the future of Client360, enhance client engagement, and accelerate business-wide growth and transformation.</p>
<p>Within Data, Digital and AI, as the C360 Agentic AI Operations Lead you will be responsible for the product development and technology build of the Agentic AI workbench and integrated control environment. On establishing this platform, you will work hand-in-hand with the platform and data operations teams to pivot their day-to-day activities into agent led workflows.</p>
<p></p><p><b>Job Responsibilities</b></p>
<ul><li>Partners with architecture and engineering to establish the future state architecture of the Agentic AI workbench, leveraging market leading agent orchestration, evaluation and connectivity protocols to keep C360 on the cutting edge of agent-led operations.</li>
<li>Manages the delivery, optimization, and integration of agentic AI operations for Client360, ensuring alignment with CIB-wide goals and organizational objectives.</li>
<li>Participates in the planning, execution, and risk management of AI operations programs, including frameworks for AI deployment, monitoring, and operational efficiency.</li>
<li>Supports agentic AI initiatives, from ideation and development to implementation and continuous improvement, adapting to evolving business needs and managing risks.</li>
<li>Coaches and mentors junior team members on best practices in AI operations management, business analysis, stakeholder engagement, and change management, enabling effective delivery of objectives.</li>
<li>Collaborates with engineering, operations, and business teams to maintain and enhance agentic AI platforms, ensuring scalability, reliability, and user-centricity.</li>
<li>Helps define the user experience for Client360 agentic AI operations, focusing on process optimization, data-driven insights, and stakeholder satisfaction.</li>
<li>Supports foundational business processes that enable Client360 through AI-driven solutions.</li>
<li>Assists in establishing and monitoring key performance indicators, ensuring agentic AI operations deliver measurable business value and support long-term strategic goals.</li>
<li>Leverages analytics and AI tools to help derive actionable insights from integrated data and third-party sources, supporting comprehensive client profiles and improved decision-making.</li>
<li>Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of agentic AI solutions.</li>
<li>Utilizes agentic AI operations to deliver personalized client experiences, streamline operations, and enhance decision-making, while supporting regulatory compliance and risk management.</li>
</ul><p></p><p><b>Required qualifications, capabilities, and skills</b>
</p><ul><li>5+ years of experience or equivalent expertise delivering AI operations, business initiatives, or transformation programs.</li>
<li>Strong knowledge of agentic AI systems, service delivery, business process improvement, strategic planning, and data analytics.</li>
<li>Demonstrated ability to support adoption of key AI operations lifecycle activities including discovery, ideation, development, requirements definition, and value management.</li>
<li>Experience supporting change within organizations and managing stakeholders across multiple functions.</li>
<li>Track record of contributing to large-scale AI integration and analytics projects.</li>
<li>Good understanding of AI integration techniques, data governance, regulatory compliance, and operational risk management.</li>
<li>Customer-centric mindset with the ability to prioritize and deliver what clients and stakeholders need.</li>
<li>Experience in working with cross-functional teams and managing stakeholders to drive AI innovation.</li>
<li>Excellent problem-solving skills and strategic thinking about agentic AI operations and their impact on organizational objectives.</li>
<li>Strong communication and interpersonal skills, with the ability to articulate and present complex AI concepts and insights to both technical and non-technical audiences.</li>
<li>Experience with emerging technologies and best practices in AI operations, business analytics, and CRM.</li>
</ul><p></p><p><b>Preferred qualifications, capabilities, and skills
</b></p><ul><li>Experience working in a highly matrixed, complex organization.</li>
<li>Experience in AI operations management, business process management, CRM systems, or related fields within a financial institution.</li>
<li>Bachelor's degree in Business, Data Science, Computer Science, or a related field; advanced degree preferred.</li>
<li>Experience in ensuring customers and stakeholders are engaged and positive about the AI solutions delivered.</li><br>
</ul><div></div><br>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Agentic AI Ops Lead

NTT DATA

<div><p>We&rsquo;re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.</p>
<p>Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women&rsquo;s Business Network, Cultural and Ethnicity Network, LGBTQ+ &amp; Allies Network, Neurodiversity Network and the Parent Network.</p>
<p>For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA</p>
<p><b>Primary Responsibilities:</b></p>
<ul><li><p>Client Engagement &amp; Delivery</p>
</li><li><p>Data Pipeline Development (Batch and Streaming)</p>
</li><li><p>Snowflake &amp; Cloud Data Platforms</p>
</li><li><p>Data Architecture &amp; Modelling</p>
</li><li><p>Collaboration &amp; Best Practices</p>
</li><li><p>Quality, Governance &amp; Security</p><br>
</li></ul><p></p><p><b>Business Relationships:</b></p>
<ul><li><p>Solution Architects</p>
</li><li><p>Data Engineers, Developers, ML Engineers and Analysts</p>
</li><li><p>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership</p>
</li></ul><p><b>Competencies / Critical Skills:</b></p><br>
<p></p>
<ul><li><p>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.</p>
</li><li><p>Strong consulting values with ability to collaborate effectively in client-facing environments.</p>
</li><li><p>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.</p>
</li><li><p>Strong problem-solving, analytical, and communication skills.</p>
</li><li><p>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.</p><br>
</li></ul><p></p><p><b>Technical Expertise:</b></p>
<ul><li><p>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).</p>
</li><li><p>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.</p>
</li><li><p>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.</p>
</li><li><p>Hands-on experience with cloud platforms (AWS, Azure, GCP).</p>
</li><li><p>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).</p>
</li><li><p>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).</p>
</li><li><p>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.</p>
</li><li><p>Understanding of data governance, security, and compliance frameworks.</p>
</li><li><p>Exposure to AI/ML workloads desirable.</p><br>
</li></ul><p></p><p><b>Experience, Qualifications, and Education:</b></p>
<ul><li><p>Experience: Minimum 5&ndash;8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.</p>
</li><li><p>Education: University degree required.</p>
</li><li><p>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field</p>
</li><li><p>Snowflake certifications (SnowPro Core, Advanced) highly desirable.</p><br>
</li></ul><p></p><p><b>Measures of Success:</b></p>
<ul><li><p>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.</p>
</li><li><p>High client satisfaction and successful adoption of Snowflake-based solutions.</p>
</li><li><p>Demonstrated ability to innovate and improve data engineering practices.</p>
</li><li><p>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.</p>
</li></ul><p>We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.</p>
<p>You can find more information about NTT DATA UK &amp; Ireland here: https://uk.nttdata.com/</p>
<p>We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.</p>
<p>We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data &amp; AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.<br>
<br>
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.</p></div>

Snowflake Data Engineer

Quantspark

<div><p><b>Title: Engineering Manager</b><br>
<b>Reporting to:</b> Head of Engineering<br>
<b>Office Environment:</b> Hybrid, Central London Office<br>
<b>Type:</b> Full time, Permanent</p><p></p><h2 class="jobSectionHeader"><b><br>
About QuantSpark</b></h2><p>
QuantSpark is an award-winning AI and data consultancy, but we don't just advise, we build. We help businesses in the UK and beyond, as well as governments, apply data, analytics and AI for measurable human and societal benefit, not just profit. This means tackling real-world challenges, innovating at scale, and forging solutions that deliver real impact to our clients.</p><p>
Our culture is built on meritocracy of ideas, where the best thinking wins regardless of seniority, a place where intelligent failure is treated as something to learning form, and where we seriously invest in people with opportunities for career acceleration, ownership over projects, and a personalised &pound;6K per year L&amp;D budget. We&rsquo;ve recently been named as finalist in the Culture 100 Awards, shortlisted from more than 5,200 UK companies, with 93% of our team rating their experience here positively in May 2026.</p><p></p><h2 class="jobSectionHeader"><b><br>
Our Client Portfolio</b></h2><p>
We work with prestigious, high-growth organisations and sector leaders, in the UK and internationally:</p><ul><li><b>Financial Services &amp; Private Equity:</b> Delivering AI-powered analytics, risk, and operational tools.</li><li><b>Retail &amp; Consumer Brands:</b> Optimising pricing, inventory, and engagement through actionable analytics.</li><li><b>Asset Management:</b> Developing investment infrastructure and automated risk management systems.</li><li><b>Public Sector:</b> Trusted by government departments for fraud analytics, predictive maintenance, and operations optimisation.</li><li><b>SaaS &amp; Manufacturing:</b> Driving technological transformation and efficiency across verticals.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
The Role</b></h2><p>
As Engineering Manager, you'll lead a team of 4 Data Engineers, 1 AI Engineer and 1 QA, and sit on the wider management team. A good portion of your week will be the coaching and line-managing of that team, growing people, unblocking them and holding the bar on quality. The rest will be spent delivering across a mix of client engagements and our own product development. This is a player-coach role, not pure people management, you'll stay hands-on enough to make architectural calls, review code and step in on the hard problems when needed.</p><p>
Using AI well is core to the job, knowing where it genuinely adds value, where it doesn't, and how to embed it sensibly into how your team delivers and what you build for clients, without cutting corners on quality, security or judgement.</p><ul><li>Oversee and architect delivery of multiple software and data projects, ensuring scalability, security, and maintainability.</li><li>Guide and mentor engineers from junior to senior level, fostering technical growth and a high-performance culture.</li><li>Champion the practical, responsible adoption of AI across engineering workflows, tooling, and client solutions.</li><li>Partner with product managers and technical leads on deliverables, resourcing, and timelines.</li><li>Drive innovation in engineering processes, promoting best practices, DevOps, and technical standards.</li><li>Operate calmly between competing priorities, making clear trade-offs across delivery, people, and quality.</li><li>Engage with client stakeholders, managing partnerships and ensuring solutions are adopted.</li></ul><p></p><p><b><br>
You Should Hit the Apply Button If</b></p><p>
We're a lean consultancy scaling deliberately. A lot of what you'd take for granted at a larger firm is still yours to build such as engineering standards, delivery processes, tooling, the shape of the team itself. We move fast, we take on hard problems that often the bigger consultancies haven&rsquo;t been able to solve. You will have real autonomy and a genuine say in how engineering works at QuantSpark, but you'll also be building the road as you drive it. That calls for someone comfortable with ambiguity, willing to make the call on imperfect information, and is ready to get hands on, helping to build the organisation.</p><ul><li>You excel at managing teams, understand 'culture add' and how to inspire and coach a team to do their best work.</li><li>You bring hands-on experience across software and data &mdash; for example Python (Flask/Django), React.js, and analytics/data engineering (building pipelines, models, and data products).</li><li>You're fluent in software and data architecture, containerisation, and cloud platforms (AWS/Azure).</li><li>You understand the value of AI and know how to use it wisely, helping your team pick the right tools for the right problems.</li><li>You've managed cross-functional teams, mentored engineers, and championed technical and professional growth.</li><li>You can hold competing priorities at once and still keep a team focused, motivated, and performing.</li><li>You're passionate about DevOps and modern tooling, continuously pushing on process and code quality.</li></ul><p></p><p><b><br>
I Want to Work for a Company That</b></p><ul><li>Balances visionary leadership with hands-on technical impact.</li><li>Prioritises impactful work and an innovative culture.</li><li>Treats AI as a tool to be used thoughtfully, not a box to be ticked.</li><li>Builds solutions that create lasting impact in both business and society.</li></ul><p></p><p><b><br>
I'm Looking to Work With</b></p><ul><li>Smart, collaborative, cross-disciplinary teams solving complex business and technical problems.</li><li>Partners and clients who value AI and data-driven transformation.</li><li>Leadership that inspires, trusts, and invests in emerging talent.</li></ul><p></p><p><b><br>
In 3&ndash;5 Years I Want to Be</b></p><ul><li>Recognised for delivering impactful work that matters to clients and the business.</li><li>A recognised mentor who's grown talented engineers and future leaders.</li><li>An influential leader connecting strategic decisions with the smart use of technology and AI.</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Perks &amp; Benefits</b></h2><ul><li>&pound;6,000 annual training/conference allowance</li><li>Matched pension contributions up to 6%</li><li>Private Healthcare (Vitality)</li><li>EMI share options&mdash;own a part of QuantSpark&rsquo;s growth</li><li>Work abroad up to one month every year</li><li>25 days annual leave (+ bank holidays with the option to buy/sell up to 5 days)</li><li>Annual volunteering day</li><li>Cycle-to-work scheme</li><li>Central London office with socials &amp; events</li><li>Discounts with major retailers, tech, fitness, travel partners</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
Equal Opportunities</b></h2><p>
We are committed to building a diverse and inclusive team. Different perspectives, identities, and experiences make us stronger&mdash;both as people and as a business. All qualified applicants will be considered regardless of sex, sexual orientation, marital status, race, nationality, religion, disability, or age.</p></div>

Engineering Manager

Deloitte

<div><div><div><div><h3 class="jobSectionHeader"><b>Basic information
</b></h3></div></div><div><div><div><div>Location
</div><div>London
</div></div><div><div>Business Line
</div><div>Technology &amp; Transformation
</div></div><div><div>Job Type
</div><div>Contract
</div></div><div><div>Date published
</div><div>02-Jul-2026
</div></div><div><div>Req #
</div><div>23986
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Job description
</b></h3></div></div><div></div><div><div><div><div><p><b>Job Title:</b> Java Developer (FX Trading) - contract</p><p><b>
Location: </b>London Hybrid. Travel to the London office on 2-3 days a week</p><p><b>
Duration:</b> 6 months (with potential to extend)</p><p><b>
Contract Start Date: </b>ASAP *note client onboarding takes 4-6 weeks from offer</p><p><b>
Day Rate:</b> Competitive (Inside IR35)</p><p></p><p><b><br>
Deloitte</b></p><p>
Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte.</p><p></p><p><b><br>
The Role</b></p><p>
We are looking for an experienced<b> Java Developers</b> to work in the Technology and Transformation Team at Deloitte. You will support the FX trading platforms with one of our global financial services clients. This position requires <b>Java server-side</b> <b>d</b><b>evelopment </b>with <b>FX experience </b>within Financial Services sector, excellent communication skills combined with the tech listed below.</p><p></p><p><b><br>
Essential skill and experience</b></p><ul><li>
Highly technical with strong <b>Java server-side development</b> experience.</li><li>
Must have <b>FX experience </b>within Financial Services sector. Have <b>pricing or algo-trading </b>experience in any asset class</li><li>
Have full technology stack knowledge of <b>Java, Linux </b>and networks.</li><li>
Have excellent <b>communication skills </b>to face off to tech management, Quantitative Strategies Group and trading desk.</li><li>
Full <b>SDLC </b>experience, <b>Git, Jenkins, Ansible</b> etc.</li><li><b>
Advanced programming skills</b> including understanding of algorithms and data structures, design patterns, multi-threading.</li><li>
Experience in <b>3rd line production support</b></li><li>
Have a degree in Computer Science, Physics, Engineering, Mathematics, or relevant analytical degree.</li><li>
Be a strong team player</li><li><b>
KDB / Q</b> experience (Desirable)</li></ul><div></div><b><br>
Deliverables: </b>Responsibilities but not limited to:<br>
<p></p><ul><li>
Design, develop, and implement robust, scalable, and high-performance server-side <b>Java solutions</b> for our algorithmic trading platforms.</li><li>
Engage with the full technology stack, from core Java development to Linux and network optimizations, ensuring seamless end-to-end performance.</li><li>
Provide <b>3rd line production support</b> to diagnose and resolve complex technical issues, ensuring the stability and reliability of our trading systems.</li><li>
Work in <b>close collaboration</b> with the Quantitative Strategies Group and trading desk to understand requirements and deliver innovative solutions.</li><li>
Participate in the full <b>software development lifecycle (SDLC),</b> utilizing tools such as Git for version control, Jenkins for continuous integration, and Ansible for deployment automation.</li><li>
Effectively <b>communicate technical concepts</b> and project status to technology management and other stakeholders.</li></ul><p></p><p><b><br>
IR35</b></p><p>
As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (&lsquo;PSCs&rsquo;). All Associates must contract under PAYE arrangements through a Deloitte approved &lsquo;Employment Company&rsquo; (aka &lsquo;umbrella company.&rsquo;)</p></div></div></div></div></div></div><div></div>

Contract - Java Developer (FX Trading)

GSMA

<p></p><div><p><b>Department:</b> <i>Technology</i></p><p><b>
Team: </b><i>Security</i></p><p><b>
Location:</b> <i>London with hybrid ways of working</i></p><p><b>
Position type:</b> <i>Permanent
</i></p><p></p><p><b>What the hiring manager says</b></p><p></p><p>
This <i>is a hands on engineering role at the heart of GSMA&rsquo;s TISAC platform transformation. You will be responsible for building, evolving, and maintaining the technical backbone that enables cyber threat intelligence sharing for the global telecoms ecosystem. We&rsquo;re looking for a T-ISAC Platform Software Engineer who thrives on solving complex architectural challenges, automating largescale systems, and bringing engineering excellence to a critical industry capability.</i></p><p></p><p><i>
You&rsquo;ll work closely with CTI analysts, architecture teams, and platform vendors to deliver a secure, scalable, and resilient T‑ISAC service. If you are passionate about infrastructure, automation, API integrations, platform reliability, and delivering secure-by-design services to a global community, this role is your opportunity to help shape the future of telecom security.</i></p><p></p><p>
If you thrive on working with cutting-edge intelligence platforms, enjoy mentoring others and want to help mature a global security community, this is an opportunity to truly influence the future of telecom security.</p><p><b><i>
Agwu Nwoke, Industry Security Programme Director</i></b></p><p></p><p><b>
About the Team</b></p><p></p><p>
The GSMA Industry Security Team is the mobile industry&rsquo;s focal point for the mobile network security. The team is responsible for co-ordinating GSMA member security working groups, leading industry wide security initiatives and engaging with global regulators to ensure security is an enabler and not a barrier to next generation mobile services.</p><p></p><p>
The team is responsible for a number of industry wide Cybersecurity schemes including:</p><ul><li><p>
Telecommunications Information Sharing and Analysis Center (T-ISAC).</p></li><li><p>
Mobile Co-ordinated Vulnerability Disclosure (CVD).</p></li><li><p>
Network Equipment Assurance Scheme (NESAS).</p></li></ul><p></p><p><b>
About the GSMA T-ISAC</b></p><p></p><p>
The Telecommunication Information Sharing and Analysis Centre (T-ISAC) is the cybersecurity threat intelligence community for the telecommunication industry, dedicated to facilitating collaboration and intelligence sharing among mobile network operators, mobile virtual network operators and industry stakeholders. T-ISAC provides GSMA members with critical cyber threat intelligence, fostering a trusted environment where telecommunication stakeholders can proactively address cybersecurity threats and reduce risks through the development of best practices. By uniting telecommunication MNOs, MVNOs, manufacturers, service providers and industry in a shared mission, T-ISAC enhances the mobile ecosystem&rsquo;s resilience against cyber threats. For more information, visit www.gsma.com/T-ISAC.</p><p></p><p><b>
About the Role</b></p><p></p><p>
As the Platform Software Engineer for T‑ISAC, you will be responsible for the engineering, operation and continuous improvement of the platforms, tooling and integrations that power the T‑ISAC service.</p><p></p><p><b>
Key Responsibilities
</b></p><p></p><p><b>Platform Engineering &amp; Development</b></p><p>
Design, develop and maintain the T-ISAC platform, delivering secure, scalable data workflows, automation capabilities and collaboration tools that support threat intelligence sharing and enrichment.</p><p></p><p><b>
Service Reliability &amp; Operations</b></p><p>
Lead the operational reliability of the T-ISAC platform through proactive monitoring, incident management, performance optimisation and secure-by-design engineering practices.</p><p></p><p><b>
Integration &amp; Interoperability</b></p><p>
Deliver and support integrations, APIs and data exchange capabilities that enable secure, scalable intelligence sharing across members and third-party security platforms.</p><p></p><p><b>
Platform Roadmap &amp; Technical Strategy</b></p><p>
Shape the evolution of the T-ISAC platform by defining future-state architecture, driving technical improvements and evaluating emerging technologies.</p><p></p><p><b>
Security &amp; Compliance</b></p><p>
Maintain a secure and compliant platform through secure engineering practices, automated controls, vulnerability management and adherence to regulatory and governance standards.</p><p></p><p><b>
Collaboration &amp; Community</b></p><p>
Foster collaboration across members, analysts, security teams and industry partners to improve platform adoption, effectiveness and community engagement.</p><p></p><p><b>
About You</b></p><p>
You will bring enthusiasm and ownership to this specialised senior role in cyber threat intelligence analysis, joining a dynamic and ambitious team. Your drive will be key to transforming bold ideas into impactful programmes and seeing them through to successful delivery.</p><p></p><p>
You will have telecoms experience gained from working at an operator, with an operator or within the wider telecom industry.</p><p></p><p>
You will have proven knowledge and expertise in designing, building and operating the core platforms and infrastructure that enable scalable, reliable, secure and efficient software delivery across operations in Intelligence, Cybersecurity, Data Analytics or a related field (equivalent experience will be considered). You will also have experience working with ISACs or other information sharing organisations.</p><p></p><p><b>
About Your skills</b></p><p>
In addition to technical skills, you will have :</p><p></p><p><b>
Teamwork</b> &ndash; you will be comfortable when working collaboratively in a virtual, distributed team environment.</p><p><b>
Communication</b> &ndash; you will have exceptional verbal and written communication skills, with a track record of presenting to executive audiences.</p><p><b>
Leadership </b>&ndash; you will have proven leadership and mentoring skills, ideally within an intelligence team.</p><p><b>
Analysis </b>&ndash; you will have strong analytical, critical thinking and problem solving skills, with ability to analyse cybersec intelligence.</p><p></p><p>
Essential</p><ul><li><p>
Extensive experience of building and implementing intelligence platforms e.g. OpenCTI, MISP.</p></li><li><p>
Experience of using collaborative open source tools as part of your analysis and research processes.</p></li><li><p>
Understanding of Nation-State Actors, Cyber Crime, Hacktivism and advanced threat actor tactics, techniques and procedures (TTPs).</p></li><li><p>
Experience in cybersecurity intelligence, including collection, analysis and dissemination.</p></li><li><p>
Professional experience within the telecom industry, whether gained at an operator, in partnership with an operator, or through work in telecom related organisations, vendors, academia or the wider mobile ecosystem.</p></li></ul><p></p><p>
Preferable</p><ul><li><p>
Understanding of mobile data, protocols and technology such as, but not limited to SS7, MOTIF, HRN, IRSF, URLs, GTs.</p></li><li><p>
Knowledge of mobile network architectures and services.</p></li><li><p>
Understanding of mobile network and services, threat landscape and the common attacks to which they are exposed.</p></li><li><p>
Comprehensive understanding of telecommunication industry operations and challenges.</p></li><li><p>
Expertise in using and applying the Mitre ATT&amp;CK&reg; framework, MISP, OpenCTI, Meta, EclecticIQ, Governments, Law Enforcement and other COIs (national and international) for threat analysis and strategy development.</p></li></ul><p></p><p>
We strive to offer a meaningful and inclusive application experience for all candidates. Should you require any accommodations or adjustments due to a disability or for any other reason during the hiring process, please contact talent@gsma.com with your request.</p><p></p><p><b>
Contract type</b></p>
Regular<p><b>
Worker type</b></p>
Employee<p></p><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><p></p><p>
Working at the GSMA offers you unparalleled access to the mobile industry. We offer a chance to truly shape the direction of mobile, whatever your role. By joining the GSMA, you will be exposed to a fast-paced rapidly evolving environment, working on global solutions, genuinely fascinating and industry-changing projects and a stimulating and dynamic environment designed to enable you to flourish.</p><p></p><p>
In addition to architect-designed offices and competitive compensation, our benefits include fantastic learning &amp; development opportunities, generous holiday allowances, four additional days off for professional development and many others.</p><p></p><p>
To learn more about the GSMA, visit our career site, our LinkedIn page and our Twitter page.</p><p></p><p>
Being You at the GSMA</p><p></p><p>
We care deeply about diversity, equity and inclusivity and aspire to be the best at it. Your well-being and work/life balance is important, so flexi-time and remote working is available to all staff. We're keen to ensure everyone is equal, represented and connected so we particularly encourage applications from all demographics. The sucess of the GSMA year on year will continue to be contributed by people from all walks of life.</p><p></p><p><b>
GSMA Values</b></p><p></p><p>
Our values not only drive our culture &ndash; they shape how we work and interact inside and outside our global organisation.</p><p></p><p><b>
Passionately driven</b></p><p>
We approach everything we do with unparalleled capability, tenacity and commitment, knowing that the challenging scale, pace and complexity of our work is what leads to its world-changing impact.</p><p></p><p><b>
Insightful leaders</b></p><p>
We continually develop and engage our expertise, insight and creativity so that we&rsquo;re always ready to respond to the changing landscape with authority, agility and nuance.</p><p></p><p><b>
Stronger together</b></p><p>
We lean on each other so the industry can lean on us, embracing our diversity by actively seeking out perspectives and skill sets beyond our own, fuelling each other&rsquo;s successes and constantly asking how we can help.</p><p>
Underpinning our values is our collective mindset to show up purposefully as good human beings every day, in every situation. When we&rsquo;re at our best &ndash; we are collaborative, considerate and compassionate to others, and we create a safe space for one another to thrive, assuming positive intent in our colleagues. And if we aren&rsquo;t at our best and the pressure is on &ndash; we feel free to be ourselves but still remain curious, lean into the tough stuff and we are always respectful to others and accountable for the part we play.</p></div><p></p>

T-ISAC Platform Software Engineer

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