Proficiency in Python with clean, readable code., Solid knowledge of Pandas and NumPy., Strong analytical and problem-solving skills., Background in STEM fields is a plus..
Key responsibilities:
Discover, validate, and clean datasets for research and production.
Monitor production systems and analyze logs for correctness.
Support ad-hoc research and exploratory analysis tasks.
Build internal utilities and automation tools using Python.
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Quantitative trading powerhouse
that provides liquidity on financial
markets worldwide using cutting
edge technologies in the field of Deep
Learning, FPGA, Signal Processing
We are seeking a highly attentive and technically proficient Analyst with strong Python skills to join our team. This is a support role for our Quantitative Researchers, focusing on data quality, tool development, and research assistance. It's ideal for individuals who prefer a stable and well-structured workflow while working on intellectually engaging tasks.
Key Responsibilities
Discover, validate, and clean datasets for research and production
Monitor production systems and analyze logs to ensure correctness
Support ad-hoc research and exploratory analysis tasks
Build internal utilities and automation tools using Python
Collaborate with quants and engineers to enhance research operations
Requirements
Proficiency in Python with clean, readable code
Solid knowledge of Pandas and NumPy
High attention to detail, accuracy, and code quality
Strong analytical and problem-solving skills
Willingness to dive deep into complex systems and workflows
No prior finance experience required
Nice to Have
Experience working in data-rich or research-driven environments
Background in STEM fields (Math, CS, Engineering, etc.)
What We Offer
Remote-first culture with flexible location options
Corporate hardware and access to a private research compute cluster
Regular in-person team events and retreats
Opportunity for relocation after one year (if desired)
Exposure to advanced technology and real-world data challenges
This is a great opportunity for someone who enjoys technical work, values accuracy, and wants to contribute to impactful research in a low-stress, intellectually rich environment.
Required profile
Experience
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.