At a Glance
- Tasks: Build and optimise systems for a fast-growing AI company in finance.
- Company: Join Model ML, a leading AI workflow builder transforming financial institutions.
- Benefits: Direct access to founders, high ownership, and minimal bureaucracy.
- Other info: Fast-paced environment with opportunities for significant impact and growth.
- Why this job: Be part of a dynamic team shaping the future of AI in finance.
- Qualifications: Strong analytical skills and experience in high-growth environments.
The predicted salary is between 60000 - 80000 £ per year.
Company Overview
Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever.
The Role
This is a company-level leverage role. You will work directly with the founders to build the systems, operating rhythms, and information infrastructure that allow Model ML to scale without losing speed, clarity, or execution quality. Your job is not to manage projects. Your job is to ensure the company sees clearly and executes intelligently.
You will operate across product, GTM, engagements, data, hiring, and internal operations. One hour may be spent in an engineering prioritisation discussion. The next in a customer escalation. The next redesigning how leadership reviews company performance. The common thread is leverage.
You should naturally think in systems, resource allocation, operating cadence, and decision velocity. You should be comfortable identifying where information breaks down, where time is being wasted, and where leadership attention is misallocated. This role is best suited for someone who wants to become a world-class company builder, not a functional specialist.
What You'll Be Responsible For
- Build and own the company operating system. Leadership cadence, planning cycles, KPI infrastructure, resource allocation, and execution reviews.
- Ensure the CEO and leadership team can access critical company information quickly and reliably. What matters should be obvious. What is blocked should be visible.
- Design decision infrastructure across the company. Dashboards, reporting systems, review frameworks, escalation paths, and operational feedback loops.
- Identify where resources and attention are misallocated across GTM, engagements, engineering, and data. Redirect focus aggressively when priorities drift.
- Convert ambiguity into execution clarity. Create operating plans with clear ownership, sequencing, and measurable outcomes.
- Monitor customer signals across trials, deployments, expansion opportunities, support issues, and engagement patterns. Ensure important signals reach the right teams quickly.
- Partner closely with Data and Engineering to build live operational intelligence systems across Looker, Redshift, internal tooling, and AI workflows.
- Improve operational velocity across the company. Remove friction across systems, meetings, workflows, approvals, and communication layers.
- Build frameworks that scale judgment. Hiring systems, review systems, calibration systems, and performance infrastructure.
What Success Looks Like
- Leadership meetings become decision environments, not status updates.
- Critical customer and product signals move through the company quickly.
- Teams operate with higher velocity and less ambiguity.
- Important initiatives stop dying in cross-functional gaps.
- Leadership attention is consistently focused on the highest-leverage work.
- The company develops stronger operational clarity as it scales.
Who Tends To Succeed In This Role
- Founder's Office / Strategic Operator: Worked directly with a founder or executive team at a high-growth startup. Built internal systems, operating cadence, planning infrastructure, and cross-functional execution processes.
- Consulting or Banking → Startup Operator: Started in consulting, investment banking, or another high-performance analytical environment. Left early to join a scaling startup and became deeply operational.
- Product + Business Hybrid: Comfortable operating across technical and commercial environments. Can sit in an engineering standup, customer escalation, and leadership review in the same day.
- Internal Systems Builder: Naturally creates structure in chaotic environments. Builds dashboards, operating frameworks, workflows, and decision systems without being asked.
What We're Looking For
- Extremely high agency.
- Strong commercial instinct.
- Structured thinker with strong analytical depth.
- Comfortable challenging senior stakeholders when priorities drift.
- Obsessed with leverage, not activity.
- Strong written and verbal communication.
- Comfortable operating with ambiguity and incomplete information.
- Fast. Calm under pressure. Low ego.
You do not need experience in every function. But you do need the ability to understand how functions connect and where execution breaks down.
What You Can Expect
- Direct access to the founders and leadership team.
- Very high ownership from day one.
- Fast decision-making and minimal bureaucracy.
- Exposure to company-level strategy and execution.
- Intense pace and high standards.
- The opportunity to help build the operating system of one of the fastest-growing AI companies in financial services.
Strategy & Operations in London employer: Model ML
Model ML is an exceptional employer, offering a dynamic work environment where employees can directly influence the growth of one of the fastest-growing AI platforms in the financial sector. With direct access to founders and leadership, employees enjoy high ownership from day one, fast decision-making, and minimal bureaucracy, fostering a culture of innovation and collaboration. The company prioritises employee growth through exposure to strategic initiatives and the opportunity to build robust operational systems that drive success.
StudySmarter Expert Advice🤫
We think this is how you could land Strategy & Operations in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those who work at Model ML or similar companies. A friendly chat can lead to insider info and maybe even a referral!
✨Tip Number 2
Prepare for interviews by understanding the company’s operations inside out. Dive into their products, recent news, and how they scale. Show us you’re not just another candidate but someone who gets what we do!
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills can help us build better systems and improve operational clarity. We want to see your passion for making things run smoothly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Strategy & Operations in London
Some tips for your application 🫡
Be Authentic:When you're writing your application, let your personality shine through! We want to see the real you, so don’t be afraid to share your unique experiences and perspectives that make you a great fit for the Strategy & Operations role.
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with what we’re looking for. Refer to specific aspects of the job description and show us how you can contribute to building our operating system.
Showcase Your Problem-Solving Skills:We love candidates who can think critically and tackle challenges head-on. Use your written application to demonstrate how you've identified issues in past roles and implemented effective solutions, especially in fast-paced environments.
Keep It Clear and Concise:While we appreciate detail, clarity is key! Make sure your application is well-structured and easy to read. Avoid jargon and get straight to the point, so we can quickly see why you’d be a great addition to our team.
How to prepare for a job interview at Model ML
✨Understand the Company’s Vision
Before your interview, dive deep into Model ML's mission and recent achievements. Familiarise yourself with their AI workflow solutions and how they impact financial institutions. This will help you articulate how your skills align with their goals.
✨Showcase Your Systems Thinking
Prepare examples that demonstrate your ability to think in systems and improve operational efficiency. Discuss specific instances where you've identified inefficiencies and implemented solutions that enhanced clarity and execution quality.
✨Be Ready for Cross-Functional Scenarios
Since the role involves working across various teams, be prepared to discuss how you've successfully collaborated with different departments. Highlight your experience in managing diverse priorities and ensuring effective communication between teams.
✨Demonstrate Your Analytical Skills
Bring examples of how you've used data to drive decisions in previous roles. Be ready to discuss how you can build dashboards and reporting systems that provide critical insights, as this is key to the role at Model ML.