Helix Junior Quant Researcher - Machine Learning

iSAM; London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A quantitative trading firm in London is seeking a Helix Junior Quant Researcher to engage in various projects, focusing on statistics and machine learning. Candidates should have a PhD or be in the process of obtaining one in a relevant field, with strong skills in Python and quantitative research. The role involves idea generation, data analysis, code development, and presenting insights to management.

Qualifications

• PhD or in process in Statistics, Machine Learning, AI, Mathematics, or Physics.
• Experience in quantitative research and data analysis.
• Familiarity with code development and testing.

Responsibilities

• Generate ideas for quantitative research.
• Conduct data analysis.
• Develop and test code.
• Present results to team and management.
• Monitor models and tools.

Skills

Deep understanding of statistics and machine learning

Strong mathematical foundations

Proficiency in Python programming

Excellent communication skills

Strong work ethic

Education

PhD in a hard science

Job description

Helix Junior Quant Researcher - Machine Learning

Department: Helix Research

Employment Type: Permanent

Location: London

Description

Our Business
iSAM Vector trades in a diverse set of global financial and commodity markets within a highly disciplined and systematic framework. The program captures profits from persistent movements in prices across time frames ranging from intraday to several months, with a focus on diversification and dynamic risk management.

iSAM Helix
A quantitative strategy applied to liquid equities worldwide, iSAM Helix employs a broad range of statistical methodologies over various timeframes. It uses multiple data sets on individual companies to take long or short positions, aiming to remain market neutral.

iSAM Securities
A leading algorithmic trading firm and trusted partner to institutional clients and trading venues globally, providing liquidity, technology, and prime services.

About You

Engaging in various projects and collaborating with different teams will give you opportunities to learn new systems and technologies.

As you gain experience, you are expected to specialize in one of these key areas of our process and take responsibility for:

· Idea generation

· Quantitative research and data analysis

· Code development and testing

· Presenting results and actionable insights to the team and senior management

· Monitoring models and tools ongoingly

Skills, Knowledge and Expertise

Ideal candidates will have completed or be completing a PhD in a hard science such as Statistics, Machine Learning, Artificial Intelligence, Mathematics, or Physics.

Required skills include:

· Deep understanding of statistics and machine learning, with contributions to the field during your PhD (papers, software projects, etc.) valued.

· Strong mathematical foundations, including linear algebra and calculus.

· Proficiency in Python programming.

· Strong work ethic, organization, attention to detail, and motivation.

· Excellent communication and analytical skills to foster collaboration.