data analytics manager

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
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<p>The Compliance, Conduct and Operational Risk (CCOR) Data Analytics team is part of the firm's CCOR organization within the second line of defense. CCOR is responsible for the design and execution of the CCOR program, which consists of the second line of defense's responsibilities in managing the firm's Compliance, Conduct, and Operational Risk. The Data Analytics team works with CCOR functional groups to deliver solutions designed to facilitate data-driven decision making and enable proactive risk management.</p><p>
This role blends product management, business analysis, and project management responsibilities to deliver strategic capabilities to the CCOR community.</p><p>
As a Vice President within CCOR Data Analytics, you will report to the EMEA lead for CCOR Data Analytics and partner with Compliance &amp; Operational Risk, Technology, and cross-functional stakeholders to drive the technology innovation agenda, ensuring alignment with firmwide strategic platforms.</p><h2 class="jobSectionHeader"><b>
Job Responsibilities</b></h2><ul><li><p>
Own and drive the product vision, roadmap, and strategy for CCOR data/analytics capabilities, ensuring alignment with regulatory expectations and business objectives</p></li><li><p>
Partner with Compliance, First Line, Technology, Data Science, Operations, and other cross-functional stakeholders to gather, analyze, and translate requirements into actionable product features and user stories</p></li><li><p>
Drive innovation in methodologies by leveraging advanced analytics, technology, and industry best practices</p></li><li><p>
Identify and evaluate opportunities to apply AI/LLM-enabled capabilities (where appropriate) to improve decisioning, efficiency, control effectiveness, and user experience</p></li><li><p>
Influence key stakeholders throughout the product lifecycle (ideation/prototyping through delivery and adoption)</p></li><li><p>
Champion and apply Product Management and Agile practices where possible; manage backlogs, prioritization, planning, testing, and defect tracking</p></li><li><p>
Oversee user acceptance testing; support training and onboarding; ensure solutions meet business and regulatory requirements</p></li><li><p>
Monitor industry trends, regulatory change, and emerging risks to inform product direction and priorities</p></li><li><p>
Advocate for stakeholder needs; ensure scope and business cases align with organizational objectives and deliver measurable value; facilitate workshops, working sessions, and presentations</p></li></ul><h2 class="jobSectionHeader"><b>
Required qualifications, capabilities, and skills</b></h2><ul><li><p>
Bachelor's degree in Business, Finance, Technology, or related field;
</p></li><li><p>Relevant experience in product management, business analysis, and/or project management within financial services;
</p></li><li><p>Strong understanding of financial products &amp; risk, controls and regulatory compliance framework
</p></li><li><p>Proven experience with Agile methodologies and product development frameworks</p></li><li><p>
Excellent written/verbal communication, stakeholder management, and analytical skills; ability to manage multiple initiatives and drive outcomes</p></li><li><p>
Demonstrated ability to work independently, prioritize effectively, adapt to change, and apply critical thinking to drive results</p></li><li><p>
Proficient in Microsoft Office (Excel, Visio, PowerPoint, Project, SharePoint) for analysis, process mapping, presentation materials, and collaboration</p></li><li><p>
Strong conflict management and negotiation skills, with a track record of building cross-functional relationships</p></li></ul><h2 class="jobSectionHeader"><b>
Preferred qualifications, capabilities, and skills</b></h2><ul><li><p>
Innovation mindset; interest and knowledge of AI/LLM landscape and tools</p></li><li><p>
experience in CCOR
</p></li><li><p>Familiarity with data analytics platforms/technologies and innovation approaches in Compliance and Operational Risk</p></li><li><p>
Intellectual curiosity; strong critical thinking</p></li><li><p>
Highly detail-oriented; strong quality focus</p></li><li><p>
Strong analytical approach (defining analytical methods, synthesizing insights, focusing on outcomes)</p></li><li><p>
Creativity in envisioning sustainable solutions that meet business goals</p></li><li><p>
Leadership: ability to influence senior leaders toward a common goal and common approach</p></li></ul><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.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

CCOR Data Analytics - Product manager - Vice President

<div>As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you.<p><b><br>
Make an Impact at RSM UK</b></p><p>
At RSM, our consulting team brings together diverse advisory experts to deliver our six core solutions: business transformation, forensic, deal services, restructuring, finance function support, and risk and governance.<br>
<br>
Our solutions are designed to address the unique needs, challenges, and opportunities our clients face as they strive to achieve their aspirations and organisational goals. Whether it&rsquo;s supporting global expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards to manage risk and governance, our consulting experts work as one cohesive team. We prioritise simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-fit businesses.<br>
<br>
It&rsquo;s an exciting time to join our consulting team, as we embark on ambitious growth plans that promise to create diverse career opportunities. We are committed to enhancing our six solutions, expanding and developing our team of expert consultants, embracing a digital-first approach, strengthening our global presence, and building strong client relationships.</p><p><br>
The Data Engineering &amp; Analytics Associate Director is responsible for establishing and leading the data engineering and analytics capability within the Forensic Technology team. The role combines hands-on technical delivery with team leadership and direct client engagement.</p><p>
Day-to-day, you will design and build data pipelines, analytical models, and automated forensic testing on Microsoft Fabric and Databricks using Python, PySpark, and SQL.</p><p>
You will work directly with clients, lawyers, and regulators understanding their problems, proposing data-driven solutions, and delivering through to completion.</p><p>
You will also be responsible for building the team around you: hiring and mentoring junior staff, setting coding and governance standards, and creating the reusable tools and IP that underpin a scalable, consistent analytics capability. This is a greenfield role therefore, you will contribute to defining how the function operates.</p><p><b>
You will make an impact by:</b></p><p>
You will help establish the data engineering and analytics function, choosing the patterns, setting the standards, and building the team. You will be responsible for delivering analytics solutions directly to clients from day one.</p><ul><li>
Designing and building production-grade data pipelines on Microsoft Fabric and Databricks to support forensic investigations, transaction analysis, and red flag testing.</li><li>
Presenting analytical findings directly to clients, lawyers, and regulators as part of live forensic engagements.</li><li>
Setting the technical direction for the team: defining coding standards, peer review processes, data governance practices, and documentation requirements.</li><li>
Leading the strategy to leverage and integrate AI into process and output.</li><li>
Mentoring and developing junior data engineers and analysts, and leading hiring as the team grows.</li><li>
Building reusable forensic analytics tools and templates that make the team faster and more consistent over time.</li><li>
Leading proposals and business development activity for forensic data analytics engagements.</li><li>
Collaborating with analytics professionals across the wider Consulting practice through a community of practice.</li></ul><p><b><br>
What we are looking for:</b></p><ul><li>
Strong experience with Microsoft Fabric or previous Azure Synapse components, Databricks an advantage.</li><li>
Strong Spark, SQL and Python skill.</li><li>
Solid understanding of data pipeline design, data modelling, and data governance.</li><li>
Working experience with Power BI and version control (Git, Azure DevOps or similar).</li><li>
Experience with Alteryx is desirable but not essential.</li><li>
Typically 5+ years in data engineering, analytics, or a closely related role.</li><li>
Experience leading a technical team or workstream, including mentoring junior staff.</li><li>
Ability to work with clients to understand their problems, propose data analytics solutions to address their requirements, and lead the delivery of those solutions from scoping through to completion.</li><li>
Experience in professional services, consulting, or a regulated environment is an advantage particularly in forensic or financial crime specialisms.</li></ul><p><b><br>
What we can offer you:</b></p><p>
We recognise that our people are our most important assets. That&rsquo;s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work.</p><ul><li>
Hybrid working although travel to your local office will be required weekly.</li><li>
27 Days Holiday.</li><li>
Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP.</li><li>
Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team.</li></ul><br>
Diversity and Inclusion at RSM<br>
At RSM, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.</div>

Data Engineering & Analytics Associate Director

Bestway Group

<div><p><b>About the role</b></p>
<p>We&rsquo;re seeking a Pricing Analytics Manager to deliver high-quality pricing and promotional analytics, working collaboratively across teams including the Category, Commercial, Finance, Supply Chain and BI teams.</p>
<p><b>About Bestway
</b></p><p>Bestway Group is a diversified multinational family owned business with annualised turnover in excess of &pound;4.5 billion. Starting off as a chain of retail convenience stores, the Group has grown to become a diversified multinational business with interests across the wholesale, pharmacy, real estate, cement and banking sectors. The Group is also the largest overseas investor in Pakistan.</p>
<p>Owned by the Pervez, Choudrey and Sheikh families, Bestway Group was founded in 1976 by Sir Anwar Pervez OBE H Pk, who remains Chairman. Serving over 12 million customers and employing over 28,000 individuals, the Group supports and serves communities through its operations across the UK, Pakistan and the Middle East</p>
<p><b>Responsibilities:</b></p>
<ul><li>Work cross‑functionally with Category, Finance, Supply Chain and BI teams to deliver actionable insights.</li>
<li>Support Pricing Manager with scenario modelling, elasticity analysis and promo measurement.</li>
<li>Build and maintain Alteryx workflows and Power BI dashboards.</li>
<li>Partner with Category teams to explain pricing insights and recommendation rationale.</li>
<li>Collaborate with Finance to validate assumptions and reconcile commercial impacts.</li>
<li>Work with Supply Chain to understand stock constraints affecting planned promotions.</li>
<li>Participate in cross‑functional trading meetings, summarising analytical findings.</li>
<li>Improve data quality and support enhancements to pricing models.</li>
</ul>
<p><b>The Ideal Candidate:</b></p>
<ul><li><b>Experience: </b>Minimum 3+ years in data, commercial, analytics or pricing roles</li>
<li>Background in PE firms, Retail and/or Food/CPG suppliers.</li>
<li><b>Education:</b> Bachelor's or Master's degree in Maths, Statistics, Economics, Engineering, Data Science, or related quantitative fields would be advantageous</li>
</ul>
<p><b>Benefits:</b></p>
<ul><li>Competitive salary</li>
<li>Pension</li>
<li>22 days annual leave, plus bank holidays</li>
<li>Onsite parking</li>
<li>Life assurance</li>
</ul>
<p>We understand that no applicant ever ticks every box so please do consider applying should some or most of the above apply. Bestway Group is an equal opportunity employer and we value diversity and inclusion. We welcome people of different nationalities, backgrounds, experiences, abilities, and perspectives. We want strong, and diverse teams built from talented individuals with different backgrounds identities and experiences.</p>
<p>If this is of interest to you and you would like to learn more, please do get in touch, we are looking forward to hearing from you.</p></div>

Pricing Analytics Manager

Royal BAM Group

<div><div><div><h2 class="jobSectionHeader"><b>Building a sustainable tomorrow</b></h2>
</div><div><div><p>
What if your next step led further than you thought?<br>
With a reputation built over 150 years, BAM has the depth, scale and momentum to offer you more than a next step. We offer you a path. One that can take you across sectors, into leadership, or even around the world. We invest in development because we want our people to stay and grow. Wherever you want to go, we&rsquo;ll help you get there.</p></div><div><p>
BAM UK&amp;I are recruiting a UK &amp; I Data Director to join our Finance team from any UK office on a hybrid basis.</p></div><div><p>
The UK&amp;I Data Director for BAM UK &amp; Ireland is a senior role, responsible for the division&rsquo;s data strategy, governance, management and utilisation, focusing on turning data into a valuable company asset.</p></div><div><p>
The UK&amp;I Data Director will have the authority to recommend changes to divisional processes and, where appropriate, technology to achieve the above role objectives subject to BAM governance procedures.</p></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Making Possible</b></h2>
</div><div><p>
Senior executive leading enterprise data strategy, governance, and analytics for a major infrastructure contractor. Ensures data supports project delivery, financial performance, and regulatory compliance. Integrates project, cost, safety, people and environmental data to drive performance insight</p><p>
Degree in Data Science, Civil Engineering, Construction Management, or Business (often MSc/MBA) with a strong academic background and continuous professional development.</p><p>
Proven leadership of successful process and data transformation projects. Experience in managing and leading data management, reporting &amp; analytics teams. Proven success in developing enterprise-wide data and digital strategies within construction or infrastructure sectors. Demonstrated outcomes in improving project delivery, data quality, cost forecasting, and operational efficiency through data-driven decision-making.</p><p>
Deep understanding of European and UK data and construction standards &mdash; GDPR, ISO19650 (BIM), EU Taxonomy, CSRD, and national infrastructure digital frameworks. Ensures compliance with safety, environmental, and financial reporting requirements.</p><p>
Oversees integration of project, finance, procurement, and asset data across the enterprise. Fundamental understanding of core business processes, data and their associated technical solutions. Establishes data standards for cost control, planning, and performance reporting. Embeds automation and analytics in project controls and asset lifecycle management.</p><p><b>
Skills</b></p><p>
Works closely with project managers, finance leads, engineers, and IT to align data priorities with delivery and financial objectives. Works effectively as part of an executive team and is flexible to step in and assist whenever and wherever required.</p><p>
Champions digital transformation, automation, and process improvement across all project and corporate data workflows.</p><p>
Awareness of BIM, data governance, IoT data integration, cloud analytics, and AI applications in construction (e.g. predictive maintenance, safety analytics).</p><p>
Leads cultural change towards data-driven project management and decision-making.</p><p>
Supports upskilling in digital tools and data literacy.</p><p>
Working closely with the executive leadership especially the UK&amp;I Chief Operating Officer, Executive Director of Finance and the IT Director on data driven insights and strategic recommendations in a constructive, empowering and collaborative manner, examples may include data strategy, ROI of digital initiatives, and evidence-based performance management.</p><p>
Influences client and partner data collaboration standards.</p><p>
Creates clarity through dashboards, storytelling, and visual analytics; communicates data strategy across a dispersed and multidisciplinary workforce.</p><p>
Works effectively across all levels of the organisation to achieve shared goals and builds partnerships with technology vendors, joint venture partners, and clients to ensure interoperability and shared data value across the construction ecosystem.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your team</b></h2>
</div><div><p>
This role can be based from any UK&amp;I office, with a hybrid working pattern of three days per week in the office.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What&rsquo;s in it for you?</b></h2>
</div><div><div>
In addition to an attractive salary we offer a significant benefits package which could include:<br>
<ul><li> Competitive salary</li><li> A wide range of family friendly policies</li><li> Private healthcare</li><li> Life assurance</li><li> 26 days holiday</li><li> 2 wellbeing days</li><li> 1 volunteering day</li><li> Personal and professional development</li><li> Flexible benefit pot</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
The application process</b></h2>
</div><div><p>
BAM is committed to ensuring a fully inclusive recruitment and onboarding process, so if at any time you feel we need to do something to make it more accessible to you, do not hesitate to speak with one of our team, and we will do our best to support you.</p><p>
For more information or an informal conversation about this exciting career opportunity please contact Paul Howes, Recruitment Manager paul.howes@bam.com</p><p>
Closing date 15th July</p><p>
IND1</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What do you bring to the role?</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>About BAM</b></h2>
</div><div><p><i>
Building a sustainable tomorrow. That&rsquo;s our mission and our promise at BAM. It&rsquo;s how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe.</i></p><p><i>
We strive to create an environment where everybody feels welcome and valued. We&rsquo;re on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics.</i></p></div></div></div>

UK&I Data Director

Lloyd's

<div><div><p>Lloyd&rsquo;s is the world&rsquo;s leading insurance and reinsurance marketplace. We share the collective intelligence and risk sharing expertise of the market&rsquo;s brightest minds, working together for a braver world.</p></div><p></p><div><p><br>
Our role is to inspire courage, so tomorrow&rsquo;s progress isn&rsquo;t limited by today&rsquo;s risks.</p></div><p></p><div><p><br>
Our shared values: we are brave; we are stronger together; we do the right thing; guide what we do and how we act. If you share our values and our passion to build a future that&rsquo;s more sustainable, resilient and inclusive, you&rsquo;ll find a home at Lloyd&rsquo;s &ndash; build a braver future with us.</p></div><p></p><p>
Lloyd&rsquo;s are recruiting a Data Scientist, Portfolio Analytics. You will deliver analytics, tools and insights to enable effective risk-based oversight and drive continuous improvement in market performance.</p><p></p><p><b>
Principal Accountabilities</b></p><p></p><p>
Work with the Senior Manager and colleagues in Portfolio Analytics to develop methodologies, tools
<br>
and controls that allow Lloyd&rsquo;s to efficiently and effectively oversee the market.</p><p></p><p>
Lead analytical and data related projects that help manage the performance of the Lloyd&rsquo;s market</p><p>
Develop new methods for understanding performance to enable better forward-looking
<br>
assessments.</p><p></p><p>
Develop methods of measuring and targeting a sustainable portfolio mix for Lloyd&rsquo;s taking into account risk vs reward and the Market&rsquo;s strategic direction. Drive increased insight of Lloyd&rsquo;s portfolio composition and identify areas for oversight and opportunity through quantification, modelling and original analysis and further development of the Lloyd&rsquo;s Model Portfolio.</p><p></p><p>
Help Portfolio Analytics to become to go to place for data and analytics in Markets.</p><p></p><p>
Act as data subject matter expert for the market data returns used by Underwriting to assess
<br>
performance. Leads on initiatives to improve data quality, insight, alignment and rationalisation across Underwriting.</p><p></p><p>
Manage and lead the automation of quarterly BAU processes.</p><p></p><p>
Risk Based Oversight &ndash; which analyses performance trends by class of business.</p><p></p><p>
Quarterly Business Review &ndash; which analyses performance by Syndicate.</p><p></p><p>
PIP Triage &ndash; which analyses underperforming classes.</p><p></p><p>
Underwriting Risk Appetite reporting which monitors whole market performance.</p><p></p><p>
MI for Markets Executives</p><p></p><p>
Contribute to cross-functional collaboration, in particular with Finance, Predictive Analytics, Capital
<br>
and Data.</p><p></p><p><b>
Skills Knowledge and Experience</b></p><p></p><p>
Relevant work experience in an analytical role in insurance or regulatory environment.</p><p></p><p>
Engagement with senior stakeholders and managing expectations.</p><p></p><p>
Driving change, building models, introducing controls, improving processes, implementing systems,
<br>
encouraging adoption and working cross functionally.</p><p></p><p>
Project management.</p><p></p><p>
Data manipulation and analysis in R and or Python.</p><p></p><p>
Building visualisation tools such as Qliksense, Tableau and/or Power BI.</p><p></p><p>
Intermediate to advanced experience in data management tools such as Business Objects, SQL.</p><p></p><p>
Intermediate to advanced knowledge of statistical and data science techniques including modern statistical languages.</p><p></p><p>
Ability to structure and distil technical information concisely and clearly and explain to a variety of
<br>
stakeholders.</p><p></p><p>
Communication and stakeholder management skills.</p><p></p><p>
Problem solving &amp; decision making.</p><p></p><p>
High attention to detail.</p><p></p><div><p><br>
Diversity and inclusion are a focus for us &ndash; Lloyd&rsquo;s aim is to build a diverse, inclusive environment that reflects the global markets we work in. One where everyone is treated with dignity and respect to achieve their full potential. In practice, this means we are positive and inclusive about making workplace adjustments, we offer regular health and wellbeing programmes, diversity and inclusion training, employee networks, mentoring and volunteering opportunities as well as investment into your professional development. You can read more about diversity and inclusion on our website.</p></div><p></p><div><p><br>
We understand that our work/life balance is important to us all and that a hybrid of working from the office and home can offer a great level of flexibility. Flexible working forms part of a total reward approach which offers a host of other benefits over and above the standard offering (generous pension, healthcare, wellbeing etc). These include financial support for training, education &amp; development, a benefit allowance (to spend on our flexible benefits such as gym membership, dental insurance, extra holiday or to partake in our cycle to work scheme), employee recognition scheme and various employee discount schemes.</p></div><p></p><div><p>
By choosing Lloyd's, you'll be part of a team that brings together the best minds in the industry, and together with our underwriters and brokers, we create innovative, responsive solutions allowing us to share risk and solve complex problems.</p></div><p></p><p>
Should you require any additional support with your application, or any adjustments, please click the following link;</p><p></p><p>
https://cleartalents.com/apply/lloyds-msa1645695881</p><p></p><h3 class="jobSectionHeader"><b><i>
Please note, clicking on this link does not register your application for the vacancy</i></b></h3></div>

Data Scientist (Portfolio Analytics)

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

Cushman & Wakefield

<div><p><b>Job Title</b></p>
Junior Analytics Engineer<p><b>
Job Description Summary</b></p><p><b>
Job Description</b></p><p>
As a Junior Analytics Engineer within the EMEA Business Intelligence team, you will be an integral part of the Analytics Engineering pillar, contributing to the development and maintenance of the data foundation that powers BI delivery across EMEA. Working closely with senior Analytics Engineers, you will support the design and build of semantic models, curated datasets, and reusable data assets on our central data platform, gaining hands-on experience with enterprise-scale data modelling and platform engineering in a collaborative, high-performing team. You will work in close collaboration with the BI and Data Science &amp; Engineering teams, helping to lay the groundwork for data assets that increasingly support AI and agentic use cases alongside traditional BI delivery. You will start to develop an understanding of the business context behind the data you work with, helping to translate business needs into well-structured data assets and beginning to build the analytics translation skills that connect data and business outcomes. This is a role for someone who is technically curious, eager to learn, and motivated to build a strong foundation in analytics engineering. You will be guided and supported throughout, with clear opportunities to grow your skills, take on increasing responsibility, and develop toward a more senior role within the pillar.</p><p></p><p><b>
Responsibilities:</b></p><ul><li><p>
Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, working under the guidance of senior Analytics Engineers.</p></li><li><p>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</p></li><li><p>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</p></li><li><p>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</p></li><li><p>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</p></li><li><p>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</p></li><li><p>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</p></li><li><p>
Support early-stage work on building data foundations that can be used for AI and agentic use cases, such as preparing clean, well-structured datasets ready for future AI applications.</p></li><li><p>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</p></li><li><p>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</p></li><li><p>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</p></li><li><p>
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.</p></li><li><p>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</p></li></ul><p></p><p><b>
Requirements:</b></p><ul><li><p>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</p></li><li><p>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</p></li><li><p>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</p></li><li><p>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</p></li><li><p>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</p></li><li><p>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</p></li><li><p>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</p></li><li><p>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</p></li><li><p>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</p></li><li><p>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</p></li><li><p>
Good communication skills, with the ability to ask clear questions and document work clearly.</p></li><li><p>
Knowledge of the real estate sector is a plus but not required.</p></li><li><p>
Fluent in English; additional European languages are an advantage.</p></li></ul><p></p><p><br>
Cushman &amp; Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman &amp; Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor&rsquo;s attention once they have made contact.</p><br>
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INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

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