Quant Finance ML Researcher - Pure Time-Series Research

G-Research; Greater London; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Highly competitive compensation plus annual discretionary bonus

Lunch provided via Just Eat for Business

30 days’ annual leave

9% contributory pension scheme

Informal dress code

Comprehensive healthcare and life assurance

Job summary

G-Research in London is seeking a Machine Learning Researcher to develop models for forecasting financial time series. The ideal candidate will hold a post-graduate degree in machine learning or a related field, possess strong experience in advanced ML techniques, and have solid programming skills in Python and related libraries. The role provides access to vast data and computing resources, a competitive salary, 30 days annual leave, and comprehensive benefits including healthcare and a contributory pension scheme.

Qualifications

• Experience in developing novel machine learning algorithms.
• Experience in deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP, or approximate inference.
• Strong reasoning skills and mathematical ability.
• Strong programming skills and experience with Python and data science libraries.
• Publications at top conferences like NIPS, ICML, ICLR are highly desirable.

Responsibilities

• Develop models to forecast financial time series.
• Utilize vast amounts of structured and unstructured data.
• Apply machine learning methods from diverse areas.
• Develop and test ideas with real-world data.

Skills

Machine learning algorithms

Deep learning

Reinforcement learning

Non-convex optimisation

Bayesian non-parametrics

Natural Language Processing (NLP)

Approximate inference

Python

Scikit-Learn

SciPy

NumPy

Pandas

Jupyter Notebooks

Education

Post-graduate degree in machine learning or related discipline

Job description

G-Research in London is seeking a Machine Learning Researcher to develop models for forecasting financial time series. The ideal candidate will hold a post-graduate degree in machine learning or a related field, possess strong experience in advanced ML techniques, and have solid programming skills in Python and related libraries. The role provides access to vast data and computing resources, a competitive salary, 30 days annual leave, and comprehensive benefits including healthcare and a contributory pension scheme.