Strategy Intern (Capital Markets) - 3 months

Cruxy
London
3 months ago
Applications closed

Related Jobs

View all jobs

National Account Manager

Head of Internal Audit

Internal Account Manager

InTent Internship Programme 2025 (#IIP): Paid Summer Placement/Internship for Undergraduate’s (Bachelor’s) or Graduate’s (Master’s) Students in Agricultural Sciences, Environmental Sciences, Data Science (3months) at University of

Data Strategy & Governance Consultant

Senior Manager Marketing Data & Insights Strategy

About the Company

Cruxy & Company is a leading tech-enabled growth specialist firm specialising in innovative and data-driven solution for the B2B technology and software space. We pride ourselves on our dynamic team, product/market specialism and cutting-edge analytical methodologies to solve complex growth challenges. Our mission is to empower clients with actionable insights and robust growth strategies.


The Role

This is not an internship for passive learners. You will be expected to execute from day one, operating in a fast-paced, data-intensive environment where technical rigour and commercial acumen are non-negotiable. Deep curiosity and previous experience in capital markets is a must.

We operate at the intersection of capital markets, financial technology, and data-driven strategy—requiring a highly analytical mindset, advanced technical skills, and the ability to extract commercial insights from complex datasets.

Expect direct exposure to live projects, where precision, speed, and problem-solving under pressure define success. If you cannot handle high expectations and fast feedback cycles, this is not the role for you.


Project Delivery

  • Conducting the first layer of research for strategic project
  • Supporting the team to ensure project insight is captured in the right way
  • Identifying key themes to be validated throughout
  • Taking the initiative, challenging the team
  • Supporting the team where needed to ensure the project is on track


Data & Quantitative Work

  • Independently source, clean, and structure data to ensure it is decision-ready.
  • Assist in implementation of quantitative methods to analyse clients’ internal data in-conjunction with external market data in our Cortex.
  • Start to analyse datasets to identify trends, patterns, and insights.
  • Support senior analysts in preparing detailed reports and presentations for clients.
  • Collaborate with cross-functional teams to enhance data quality and analysis techniques.


Supporting the Team

  • Locking in meetings with prospects & driving surrounding administrative tasks
  • Contributing to team building & culture
  • Upholding Cruxy values & instilling this into the team


Competencies

We take self-development seriously, with feedback and reflection a core part of our day-to-day. The following competencies will be vital to hone for this role (among others).

  • Dealing with Ambiguity: Able to cope in a fast-paced, changing environment
  • Customer Focus: Gives full attention and emphasises the importance of customer satisfaction. Asks for the customer's opinions and ideas and listens actively to gain their support.
  • Problem-Solving & Drive for Results: Strong logical thinking and analytical skills to tackle complex problems and develop innovative ways to crack challenges.
  • Communication: Clear and concise communication skills to present findings and collaborate effectively with tea members and clients.
  • Curiosity and Initiative: Eagerness to learn, explore new tools and technologies, and continuously improve technical skills and industry knowledge.


Skills & Experience We’re Looking For

  • Strong knowledge of financial markets
  • Basic understanding of B2B capital markets tech and fintech technologies
  • Advanced knowledge of Microsoft Excel
  • Intellectual curiosity and self-motivation
  • Strong analytical and quantitative skills, advanced data visualisation (e.g., Tableau) would be an asset
  • 1-3 years of experience would be an asset


Compensation

You will benefit from 1:1 training and development sessions, where we will ensure you are equipped with the tools you need to fulfil your potential and ensure you feel supported as you progress in your role.

  • Duration: 3 months (subject to review and extension based on performance)
  • Location: The Clubhouse, 8 St James’s Square, London, SW1Y 4JU
  • Salary: £35,000 pro rata
  • Start Date: ASAP

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.