Quantitative Researcher
Londononsite
via Greenhouse
About this role
Your future role within QRT
Your core objective is to create high quality predictive signals.
By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
Share and discuss research results, methodology, data sets and processes with other researchers.
Implement the signals and the relevant datasets within the global execution platform.
Monitor signal behaviour and model performance over time.
You would lead the full strategy research cycle from signal generation to implementation.
Your present skillset
Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.…
Read the full description on Quberesearchandtechnologies's site →
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, c++, c#, r, matlab
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in London. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonc++c#rmatlab