Senior Quantitative Developer – Commodities
Qube Research & Technologies · Geneva, Switzerland
Posted 21 days ago
or apply directly on Qube Research & Technologies's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 21 days Qube Research & Technologies's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 8% of Qube Research & Technologies's roles list one
- Ghost-job risk at Qube Research & Technologies
- low 0 stale, 1 reposted of 202 open
- Hiring momentum
- 252 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Qube Research & Technologies's own greenhouse board since 2026-08-03. Full hiring picture for Qube Research & Technologies.
About this role
As a Senior Quantitative Developer in the Commodities Front Office team at Qube Research & Technologies, you will design, develop, and support cloud-native applications tailored for commodities research and trading. Your role will involve building full-stack analytical tools, developing research infrastructure, and integrating various datasets while collaborating with researchers and traders to enhance productivity and maintain high data quality standards.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Qube Research & Technologies as an employer.
What you need
- At least 5 years of professional software development experience
- Advanced Python expertise
- Strong knowledge of numerical and analytical Python libraries such as NumPy, pandas, Polars and xarray
- Experience building production-grade Python services, APIs and data pipelines
- Strong experience with React, TypeScript, SQL and relational databases
- Experience working with weather, geospatial, remote-sensing or other large scientific datasets
Nice to have
- Front-office trading or quantitative-finance experience
- Commodities experience, particularly within Agriculture
- Experience with Airflow or a similar orchestration platform
- Strong AWS architecture experience
- Familiarity with machine-learning infrastructure and model-training pipelines
Worth weighing
- No salary listed
- Role involves working with large scientific datasets which may require specialized knowledge
- Focus on cloud-native applications and modern technologies may appeal to those looking to work with current tech stacks
Summarised from Qube Research & Technologies's posting. Read the full original.
Listed by Qube Research & Technologies on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
More roles at Qube Research & Technologies
- Quantitative Developer - Trading Systems, C#London
- Data ScientistLondon
- Technical Project Manager - Office build (1 yr contract)Hong Kong
- Full Stack Developer - Network AutomationLondon
- HR Operations SpecialistSydney
- Software Engineer - Data PlatformHong Kong
- Technical Program Manager - IT InfrastructureMumbai
- Talent Acquisition - TechnologyNew York