C++ Developer - Investment Tools and Signals

London
1 week ago
Create job alert

C++ Developer - Investment Tools and Signals

Newton Colmore is looking for an experienced C++ developer with a strong interest in finance and technology to join a newly established investment team, developing cutting edge tools and algorithms.

You will be working closely with quantitative researchers, and traders and fellow developers to create software that drives the company's investment strategies and delivers alpha across a broad spectrum of markets and instruments.

This is a key hire for this team and your key responsibilities will include the development and maintenance of C++ applications for alpha signal generation and equity research, mixed in with building new tools for advanced data processing and multithreaded statistical analysis.

You will also have the opportunity to help shape the future of this team as it grows.

In terms of what the client is ideally looking for, they are searching for strong C++ expertise, coupled with industry knowledge and a naturally curious mindset. The Ideal industry experience would be from a hedge fund, proprietary trading firm or from a more general fintech background.

The team like to hire people who are coachable and the ideal experience level for this role is 2-to-4 years. There is a degree of flexibility on this for the right candidate.

The company can offer tailored compensation packages, which includes bonuses and a series of other benefits and provide the opportunity to work on cutting-edge technology and alongside some of the brightest minds in the industry.

Your application will be confidential, and your details will only be shared with our client after our initial call and only with your expressed permission, if you feel you are a strong fit.

Newton Colmore is a specialist recruitment consultancy, and we search for and introduce world-class engineers, scientists, and developers to impactful companies, globally.

Get in touch if you would like to know more

Related Jobs

View all jobs

Strategy Intern (Capital Markets) - 3 months

C++ Developer - Investment Tools and Signals

C# Developer

NET Developer

FPGA Engineer

Software Developer

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.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.

Job-Hunting During Economic Uncertainty: Data Science Edition

Data science has become essential for modern businesses, enabling data-driven decisions that enhance efficiency, profitability, and strategic foresight. From predictive analytics in finance to recommendation engines in retail, data scientists sit at the crossroads of statistics, programming, and domain expertise, building models that translate raw information into tangible insights. Yet, when broader economic forces create uncertainty—through market downturns, shifting investor priorities, or internal budget constraints—data science roles can experience increased scrutiny, competition, and extended hiring cycles. Despite these pressures, data-driven approaches remain crucial to organizations looking to weather challenges and find opportunities in volatile environments. Whether you’re refining advanced machine learning techniques, fine-tuning data pipelines, or collaborating with business stakeholders on dashboards, your skill set is often still in demand. The key is adapting your job search strategy and personal branding to cut through the noise when fewer roles may be available. This article explores: Why economic headwinds affect data science hiring. Actionable strategies to stand out in a tighter job market. Ways to emphasize your technical and soft skills effectively. Techniques to maintain focus and resilience despite potential setbacks. How www.datascience-jobs.co.uk can help you secure the ideal data science position. By combining strategic thinking, polished communications, and adaptability, you can land a fulfilling data science role that leverages your expertise—even if the market feels more demanding.