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Remote Junior Quant Developer Jobs in California

Mentoring and guiding junior staff * Traveling and visiting project sites during design and ... Knowledge of smart infrastructure equipment such as automatic feeder switches, remote sensing ...

Mentoring and guiding junior staff * Traveling and visiting project sites during design and ... Knowledge of smart infrastructure equipment such as automatic feeder switches, remote sensing ...

Senior Data Analyst (Remote)

San Diego, CA · Remote

$91K - $115K/yr

... Remote-First Places to Work . Firstup believes in the power of data to produce great business ... quantitative field or equivalent experience * 5+ years of work experience in a data engineering ...

Civil Engineer

Folsom, CA · On-site +1

$110K - $150K/yr

... remote setting. As part of our growing Public Works team, you'll lead the design and delivery of ... Mentor junior engineers and designers * Participate in proposals, client meetings, and business ...

Sr. Analytics Engineer (Remote)

Los Angeles, CA · Remote

$112K - $154K/yr

... is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii ... Actively mentor and pair with junior peers to unblock complex bugs, optimize engineering workflows ...

Civil Engineer

Santa Rosa, CA · On-site +1

$110K - $150K/yr

Mentor junior engineers and project managers Job Qualifications * Bachelor's degree in Civil ... Remote Work Capability * 100% Employee Medical * Dental/Vision * 401k w\matching * Paid Vacation ...

Showing results 41-60

Remote Junior Quant Developer information

What is a remote junior quant developer?

A Remote Junior Quant Developer is an entry-level professional who works from a remote location to support quantitative research and financial modeling, often within banks, hedge funds, or fintech companies. Their responsibilities typically include developing, testing, and maintaining algorithms and quantitative models that help inform trading strategies or risk management. They use programming languages like Python, C++, or R to analyze large data sets and automate processes. As 'junior' developers, they work under the guidance of more senior quantitative analysts or developers while building their technical and financial expertise.

What are the key skills and qualifications needed to thrive as a remote junior quant developer?

To thrive as a Remote Junior Quant Developer, you need a strong background in mathematics, statistics, and programming (often Python, C++, or Java), typically supported by a relevant degree in quantitative fields like math, physics, or computer science. Familiarity with financial modeling tools, version control systems like Git, and quantitative libraries such as NumPy or pandas is commonly required. Attention to detail, problem-solving abilities, and clear communication are critical soft skills, especially when collaborating remotely with cross-functional teams. These skills ensure accurate model development, efficient code collaboration, and effective teamwork in the fast-paced, data-driven finance industry.

What is the difference between Remote Junior Quant Developer vs Remote Quant Analyst?

AspectRemote Junior Quant DeveloperRemote Quant Analyst
Required CredentialsBachelor's in Math, CS, or related field; some programming experienceBachelor's or higher in Finance, Math, or related; programming skills beneficial
Work EnvironmentCollaborative teams in finance or hedge funds; focus on coding and model developmentResearch-focused; analyzing data, developing trading strategies, reporting
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, investment firms, hedge funds

The Remote Junior Quant Developer primarily focuses on coding, developing algorithms, and building models, often requiring programming skills and a background in math or computer science. In contrast, the Remote Quant Analyst emphasizes data analysis, research, and strategy development, often with a stronger emphasis on finance knowledge. Both roles are common in financial firms and often overlap in skills, but they differ in daily tasks and focus areas.

What are some common challenges faced by remote junior quant developers, and how can they be addressed?

Remote junior quant developers often encounter challenges such as limited access to on-the-spot mentorship, difficulties in understanding complex quantitative models without in-person guidance, and the need to communicate effectively across distributed teams. To overcome these hurdles, it's important to proactively seek regular check-ins with senior team members, utilize collaborative tools for code reviews and project tracking, and participate in virtual study groups or forums. Building strong written communication skills and maintaining a disciplined work schedule can also help ensure steady progress and integration with the team.
What are popular job titles related to Remote Junior Quant Developer jobs in California? For Remote Junior Quant Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Junior Quant Developer jobs in California look for? The top searched job categories for Remote Junior Quant Developer jobs in California are:
What cities in California are hiring for Remote Junior Quant Developer jobs? Cities in California with the most Remote Junior Quant Developer job openings:

Computational Scientist (Functional Genomics) - Remote

Astrix Inc

South San Francisco, CA • On-site, Remote

$35 - $40/hr

Full-time, Contractor

Posted 16 days ago


Job description

Pay Rate Low: 35 | Pay Rate High: 40
Our client is an innovative biotechnology company seeking a Computational Scientist to support advanced research initiatives focused on analyzing large-scale single-cell perturbation datasets.
Title: Computational Scientist - Single-Cell Genomics & Perturbation Biology
Location: Remote (Must be open to working PST)
Schedule: Full-Time (40 hours/week)
Duration: 12-Month Contract (+Benefits)
Pay rate: $35-40/hr
In this role, you will leverage computational approaches to generate biological insights that accelerate target identification, drug discovery, and the development of next-generation therapeutics. This role will partner with cross-functional teams of computational scientists, biologists, and data scientists to generate biological insights from high-content sequencing data while contributing to scalable computational pipelines and best practices.
Key Responsibilities
  • Analyze large-scale perturbation sequencing datasets (e.g., Perturb-seq, CROP-seq, multi-condition single-cell RNA-seq).
  • Develop and apply computational methods to generate insights that support early-stage therapeutic research.
  • Collaborate with interdisciplinary teams across computational biology, biology, chemistry, and data science.
  • Contribute to software, analysis pipelines, and workflow improvements for large-scale genomic data analysis.
  • Present findings and communicate complex analyses to technical and non-technical stakeholders.

Qualifications
  • Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, or a related quantitative life science field.
  • 1-3+ years of relevant industry or postdoctoral experience.
  • Hands-on experience analyzing Perturb-seq, CROP-seq, SciPlex, or other multi-condition single-cell RNA-seq datasets.
  • Strong programming skills in Python and/or R.
  • Experience working in HPC environments (SLURM, AWS, SGE, or similar).
  • Must be authorized to work in the United States without sponsorship.
  • Knowledge of workflow management tools such as Nextflow or Snakemake is preferred.
  • Strong software engineering fundamentals and experience with version control.
  • Excellent analytical, problem-solving, and communication skills.

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