At a Glance
- Tasks: Develop AI workflows and maintain data infrastructure to drive business value.
- Company: Join a leading treasury consultancy with a global presence and innovative culture.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment that values diversity and personal development.
- Why this job: Be at the forefront of AI and data technology, making a real impact.
- Qualifications: Experience in AI applications, low-code platforms, and data reporting tools.
The predicted salary is between 36000 - 60000 € per year.
About us
If you are looking to join an independent and impartial treasury and risk management consultancy, PMC is your solution. Established for over 34 years, we offer expert advice and practical solutions to financial sponsors and their portfolio companies globally – with offices in New York, London, Madrid and Singapore.
We are at an early and exciting stage of embedding AI and data capabilities across the firm. We are looking for a commercially minded AI and data professional to help us understand, build and embed technology that creates tangible value for the business. We need someone who is as comfortable in a conversation with a client-facing team member about what they actually need, as they are building the solution.
You will work across two main areas: developing AI-powered workflows and automations that improve how we work, and maintaining and extending our data infrastructure and reporting capabilities. Day to day this means identifying opportunities, building solutions using low-code and cloud tools, supporting adoption across the firm, and helping colleagues get more value from our technology.
You will work closely with our existing tech and data personnel, as well as teams across the business and our office locations globally.
- Business Analysis and Opportunity Identification
- Engage with teams across the firm to understand their workflows and commercial goals, and translate these into data/automation opportunities.
- Bring a commercial lens: focus on the value being created, not just the tool being built.
- Build trusted relationships and act as a credible thought partner on AI and data.
- AI and Automation Development
- Design and build automation workflows using low-code platforms including n8n and Microsoft Power Platform.
- Develop and deploy AI-powered applications leveraging large language models, including prompt engineering, evaluation, and production reliability.
- Stay current with developments in AI tooling and bring relevant innovations into the business in a practical, considered way.
- Data Infrastructure and Reporting
- Help maintain and extend our Snowflake-based data lake, supporting data quality and accessibility across the business.
- Build and maintain Power BI dashboards and reports that drive commercial decision-making across service lines and geographies.
- Support ongoing data documentation and governance so teams can trust and effectively use the data available to them.
- Rollout, Adoption and Training
- Run training sessions and create practical guides that enable colleagues at all technical levels to get genuine value from AI and data tools.
- Act as an internal champion for data literacy and responsible AI use across the firm.
Hands-on experience working with large language models and building AI-powered applications, including prompt engineering and evaluation.
Experience with low-code workflow automation platforms, ideally n8n and/or Microsoft Power Platform / Power Automate.
Proficiency building Power BI dashboards and reports for business stakeholders.
Bonus - Working knowledge of Python for scripting, data handling, or API integration.
Bonus - Experience with Snowflake as a cloud data platform.
A commercial mindset: you think about business value first, technology second.
Structured, organised approach to running projects with the ability to manage multiple workstreams without losing sight of priorities.
Our office-based approach fosters a highly collaborative and high-performing environment where learning and growth are accelerated. We all help to make PMC Treasury a workplace that celebrates diversity and attracts, retains and develops the most talented and committed people.
If there’s anything we can do in the recruitment process to help you achieve your best, get in touch.
Analista de datos - Remoto in City of London employer: PMC Treasury
At PMC, we pride ourselves on being an independent and impartial consultancy that values collaboration and innovation. Our remote work culture empowers you to engage with global teams while contributing to cutting-edge AI and data initiatives that drive real business value. With a strong focus on employee growth, we offer training opportunities and a supportive environment that celebrates diversity and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Analista de datos - Remoto in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend webinars, and join relevant groups. The more connections we make, the better our chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI and data projects. This gives us a chance to demonstrate our expertise and makes us stand out to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and data. We should be ready to discuss how we've used technology to create value in past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our approach based on what PMC is looking for in candidates.
We think you need these skills to ace Analista de datos - Remoto in City of London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI, data infrastructure, and automation. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Show Your Commercial Mindset:When writing your application, emphasise your understanding of business value. We’re looking for someone who thinks about the impact of technology on commercial goals, so make that clear in your examples.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what you can bring to the table. Remember, we want to understand your potential contributions quickly!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at PMC Treasury
✨Know Your Tech Inside Out
Make sure you’re well-versed in the low-code platforms mentioned, like n8n and Microsoft Power Platform. Brush up on your knowledge of AI-powered applications and how they can create value for businesses. Being able to discuss specific examples of how you've used these tools will impress the interviewers.
✨Understand the Business Goals
Before the interview, take some time to research PMC's commercial goals and how data and AI can drive those objectives. Be ready to discuss how you can identify opportunities that align with their needs, showing that you think about business value first and technology second.
✨Build Relationships
During the interview, demonstrate your ability to build trusted relationships. Share examples of how you've acted as a thought partner in previous roles, especially when collaborating with client-facing teams. This will show that you can communicate effectively and understand the needs of different stakeholders.
✨Showcase Your Training Skills
Since part of the role involves running training sessions, be prepared to talk about any experience you have in this area. Discuss how you’ve created guides or conducted training that helped colleagues at various technical levels. This will highlight your ability to champion data literacy and responsible AI use within the firm.
