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Remote Junior Quant Developer Jobs in Rochester Hills, MI

micro1 AI

Director of Biostatistics

Dearborn, MI · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.

New

micro1 AI

Director of Biostatistics

Sterling Heights, MI · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.

New

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Remote Junior Quant Developer information

See Rochester Hills, MI salary details

$56.1K

$98.3K

$148.2K

How much do remote junior quant developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote junior quant developer in Rochester Hills, MI is $98,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $98,000.00 per year, depending on experience, location, and employer.

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 Rochester Hills, MI? For Remote Junior Quant Developer jobs in Rochester Hills, MI, the most frequently searched job titles are:
Remote Junior Quant Developer jobs near you
Infographic showing various Remote Junior Quant Developer job openings in Rochester Hills, MI as of June 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $98,327 per year, or $47.3 per hour.

Director of Biostatistics

micro1 AI

Dearborn, MI • Remote

$60 - $65/hr

Part-time

Posted 3 days ago

New

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.

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