At a Glance
- Tasks: Architect and evolve our core modelling and analytics platform for institutional investors.
- Company: Join a pioneering fintech redefining asset allocation in London.
- Benefits: Equity participation, competitive salary, hybrid work, and rapid career growth.
- Other info: Collaborative environment with international exposure and advanced resources.
- Why this job: Shape the future of finance with cutting-edge technology and impactful decision-making.
- Qualifications: Master's or PhD in a quantitative field with 5+ years of relevant experience.
The predicted salary is between 63000 - 77000 £ per year.
We're looking for a Senior Quantitative Modeller to architect, build, and evolve our core modelling and analytics platform.
This is a rare opportunity to join a fintech redefining institutional asset allocation at an early stage, with hands‑on ownership of the models and systems that power everything we do.
About Us
Allocation Strategy is a London-based fintech providing analytical infrastructure to institutional investors.
Our mission is to set the industry standard in asset allocation analytics - transforming how investors make their most important portfolio decisions.
Our subscription-based solutions combine cutting‑edge analytics with efficiency, helping clients do more with less.
What You Will Do
- Work directly with the Heads of Technology and Research to architect, build, and evolve Allocation Strategy's core modelling and analytics platform.
- Implement, validate, and productionise advanced models for asset allocation, risk, macro and scenario analysis, including data preparation, testing, calibration, optimisation, and maintenance as models and data evolve.
- Develop AI‑assisted research and modelling workflows, including data engineering, model design, evaluation, and monitoring.
- Translate theoretical research and investment logic into efficient, testable, and maintainable code.
- Rapidly prototype new modelling approaches and analytical tools, then harden them for production use.
- Build and maintain robust backend systems, data pipelines, and APIs supporting both internal research and client‑facing applications.
- Design, operate, and evolve cloud‑based data and model workflows, including orchestration, scheduling, monitoring, and failure handling.
- Contribute to system architecture, performance optimisation, and scalability as the platform and dataset complexity grow.
- Establish and uphold high engineering and research standards, including testing, documentation, and reproducibility.
- Collaborate closely with product and research stakeholders to ensure models are usable, interpretable, and commercially relevant.
Qualifications
- Master's or Ph D degree in a quantitative discipline (or equivalent professional experience).
- 5+ years of relevant professional experience in quantitative modelling, software engineering, or applied research.
- Strong software engineering skills, with a track record of building and maintaining production‑quality systems.
- Expert‑level Python experience with numerical, statistical, or ML libraries (e. g. Num Py, pandas, Py Torch, JAX, Tensor Flow).
- Deep understanding of statistical modelling, optimisation, or machine‑learning techniques.
- Experience building and operating backend systems and data pipelines in a cloud environment (e. g. AWS, GCP, or Azure).
- Experience validating, testing, and deploying quantitative or ML models.
- Comfortable working autonomously in a small, senior team, partnering closely with Founders.
- Strong analytical judgement, communication skills, and attention to detail.
- Experience with designing and refining large scale dynamic models.
- Experience applying AI or ML methods to real‑world, noisy financial or economic data.
- Strong awareness of the investment industry landscape, financial instruments, and market / economic events and news flow.
- Familiarity with finance and asset pricing theory and empirical methods, and the application of these concepts in the investment industry.
- Familiarity with cloud infrastructure, containerisation, orchestration, and CI/CD for model deployment.
- Experience in building institutional‑grade analytical tools or dashboards for sophisticated end users.
- Prior experience in a startup or early‑stage technology environment.
What we offer
Compensation
- Equity participation in a high‑growth venture
- Competitive base salary.
- Other Benefits
- A collaborative, mission‑driven environment where your work directly shapes how institutional investors make multi‑billion‑dollar decisions
- Rapid career progression as the company scales
- Hybrid working model with international exposure
- Access to advanced technology and resources.
- #J-18808-Ljbffr
2026/Q1 - Senior Quantitative Modeller [Closed] in London employer: Allocation Strategy Ltd.
At Allocation Strategy, we pride ourselves on being an exceptional employer, offering a collaborative and mission-driven environment where your contributions directly influence the future of institutional asset allocation. Located in London, our fintech provides unique opportunities for rapid career progression and equity participation in a high-growth venture, all while working with cutting-edge technology and resources. Join us to be part of a team that values innovation and empowers you to shape the financial landscape.
StudySmarter Expert Advice🤫
We think this is how you could land 2026/Q1 - Senior Quantitative Modeller [Closed] in London
✨Tip Number 1: Tap Into Professional Networks
The finance world loves a good connection, so jump into industry-specific groups on platforms like LinkedIn where you can find discussions on financial controlling. Engaging in these communities can expose you to hidden job leads that aren't openly advertised!
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Make it a mission to attend finance-related events and conferences, even virtual ones! This is a golden opportunity to network face-to-face with people from companies like Allocation Strategy Ltd.. You never know who might be your next boss or a crucial contact!
✨Tip Number 3: Showcase Your Expertise
Consider writing articles or sharing insights related to financial controlling or industry trends. Publish these on platforms like LinkedIn to establish yourself as a knowledgeable player in the field. This not only increases your visibility but also catches the attention of recruiters from Allocation Strategy Ltd..
✨Tip Number 4: Apply Directly on Company Websites
Since you're going for a full-time gig, don't forget to keep an eye on the careers page of companies you're interested in, like Allocation Strategy Ltd.. Many companies prefer candidates who apply through their website as it shows genuine interest and makes your application stand out!
We think you need these skills to ace 2026/Q1 - Senior Quantitative Modeller [Closed] in London
Some tips for your application 🫡
Show Off Your Numbers Game:In financial controlling, detail is everything! Make sure your CV showcases your proficiency with numbers—highlight any relevant experience in budgeting, forecasting, or working with financial software. Quantifying your past achievements will make you stand out, so don’t be shy about flaunting those impressive percentages or cost savings you've implemented.
Tailored Cover Letter is Key:Your cover letter is a chance to shine, especially for a full-time role. Use it to express your genuine interest in Allocation Strategy Ltd. and the specific impact you hope to make in financial controlling. Mention any relevant qualifications or experiences that align with the company’s goals, and don’t forget to show that you're ready for a long-term commitment!
Certifications Matter:List relevant certifications such as ACCA or CIMA on your CV. These qualifications not only showcase your dedication to the field but also your technical competence in financial principles. If you have any ongoing training or courses, make sure to mention those as well to demonstrate your commitment to continual learning in financial controlling.
Don’t Overlook Soft Skills:While numbers are crucial, so are those soft skills! Financial controllers need strong communication and analytical reasoning abilities. We recommend embedding examples of these skills in your CV and cover letter, like how you’ve successfully delivered financial reports to stakeholders or collaborated with teams to improve processes. Let’s show Allocation Strategy Ltd. how you can be a team player!
How to prepare for a job interview at Allocation Strategy Ltd.
✨Brush Up on Technical Skills
Make sure you're comfortable with key financial concepts, especially around forecasting, budgeting, and variance analysis. Sometimes, interviewers may throw in technical questions or case studies, so practicing these types of scenarios will help you shine!
✨Showcase Your Financial Acumen
If you've had experience with specific financial software like SAP or Oracle, make it known! Be ready to discuss how you used these tools to improve processes or reporting, as this hands-on knowledge can really set you apart in a full-time role with Allocation Strategy Ltd..
✨Know Your Numbers
In full-time interviews, especially in financial controlling, be prepared for numerical reasoning tests or questions. Brush up on your mental maths and understand how to interpret and analyse financial statements on the spot, as this may come up during the assessment.
✨Connect with Company Goals
Familiarise yourself with Allocation Strategy Ltd.'s financial objectives and any recent developments. During the interview, try to weave your understanding of their business model and challenges into your answers—this shows your genuine interest and alignment with their goals!
