At a Glance
- Tasks: Tackle finance's biggest questions using advanced statistical analysis and machine learning.
- Company: G-Research, a leading quantitative research and technology firm with a dynamic culture.
- Benefits: Competitive pay, 35 days leave, healthcare, and a barista bar for your caffeine fix.
- Other info: Inclusive environment with excellent career growth and monthly company events.
- Why this job: Join a team that values innovation and offers tailored learning in machine learning.
- Qualifications: Masters or PhD in a quantitative field; passion for finance and coding is essential.
The predicted salary is between 59400 - 72600 £ per year.
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
The role involves using the latest scientific techniques and advanced statistical analysis methods to predict movement in global financial markets. This requires harnessing massive compute power and using state-of-the-art ML techniques to find innovative solutions, as textbook methods won’t beat the competition. This is a pure research role where you will be able to develop and test your ideas with real-world data in an academic environment.
Machine Learning College (ML College) is an established, in-house learning programme at G-Research, designed to develop our researchers into fully-fledged machine-learning practitioners through a world-class, custom curriculum. ML College is exclusive to new and existing Quantitative Researchers at G-Research, so if you join us in this role you’ll be able to take advantage of a learning experience tailored to accelerate your knowledge and expertise in machine learning quickly and effectively.
Who are we looking for?
- An interest in applying mathematical concepts to real-world financial problems
- An interest in implementing theoretical insights as working code
- A Masters or PhD degree (or be working towards one) in a highly quantitative subject, such as mathematics, statistics, computer science, physics or engineering
- Previous financial experience is not required, although an interest in finance and the motivation to rapidly learn more is a prerequisite for working here
Why should you apply?
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 35 days' annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- Cycle-to-work scheme
- Monthly company events
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
Algo Developer in London employer: Quant Blueprint LLC
Join our dynamic team as a Senior Lead Software Engineer in the heart of the financial district, where innovation meets expertise. We pride ourselves on fostering a collaborative work culture that encourages professional growth and mentorship, ensuring you have the resources to excel in your role while making impactful contributions to model risk management. With competitive benefits and a commitment to employee development, this is an exceptional opportunity for those seeking a meaningful career in a leading financial institution.
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