Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

FX Quantitative Researcher

Balyasny Asset Management L.P.
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Quant Engineer - Investment banking

Data Engineer, MASS

Data Engineer, MASS

Treasury Data Engineer

Data Scientist Associate

Data Engineer Contractor (Python Pandas)

LoadingSorry to interruptCSS Error

FX Quantitative Researcher

LocationNew York

LocationLondon

PostedPosted 36 Days Ago

CodeREQ5383

The Macro Technology Team is seeking a FX Quantitative Researcher.

The ideal candidate will have a degree in PhD/MSc/BSc in a scientific topic (physics, mathematics, electrical engineering, computer science or similar) as well as:

Expert C++ programmer: we use C++17 and would like to move to C++20. Coupled with the ability to produce well-engineered code. At least 3 years experience working in a team on a large code base, ideally in a quantitative setting, e.g. finance, gaming, industrial automation, machine learning, astrophysics. Interest and expertise in Python; we use Python to wrap our C++ analytics for Jupyter or web portals, orchestrate our components, etc. And/or expertise in delivering complex analytics code into Excel, e.g. xll, Microsoft VSTO, Excel DNA, etc; ideally how to "hack" Excel to get the power of VBA without ever having to go near it. We'd like to see interest in cloud technologies, in particular Docker, Kubernetes, but above all a willingness to pitch in and explore and learn new technologies that will benefit the team. Interest or experience in other languages or technologies a bonus, e.g. C# / .net, functional programming languages, distributed direct acyclic graphs, message queues, SQL and NoSQL databases, etc. Mathematics to at least UK A-level standard: you should be comfortable with matrices, linear algebra, basic probability and statistics, optimization, what a derivative is, etc. If you don't write this kind of code yourself, you will be working with colleagues who do. Experience in finance, specifically knowledge of Interest Rates or FX products


With respect to NY- and CA-based applicants, the starting base pay range for this role is between $220000 and $300000 annually. The actual base pay is dependent upon several factors, including, but not limited to, relevant experience, business needs and market demands. This role may also be eligible for bonus compensation and employee benefits.

Loading

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.