Apply R and SAS to clinical data and analytical challenges and use Python when appropriate ... a related quantitative field. * Significant Data Science, Statistical Programming, Clinical ...
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Apply R and SAS to clinical data and analytical challenges and use Python when appropriate ... a related quantitative field. * Significant Data Science, Statistical Programming, Clinical ...
New
RevOps Analytics Manager
Shelton, CT · On-site +1
$100K - $120K/yr
You Bring * Bachelor's degree in technology or a quantitative field (Analytics, Statistics ... Preferred * Experience with Python. * Experience with Snowflake Intelligence / Agentic AI.
RevOps Analytics Manager
Shelton, CT · On-site +1
$100K - $120K/yr
You Bring * Bachelor's degree in technology or a quantitative field (Analytics, Statistics ... Preferred * Experience with Python. * Experience with Snowflake Intelligence / Agentic AI.
Quant Python Remote information
See Derby, CT salary details
$13.26 - $19.93
1% of jobs
$19.93 - $26.59
0% of jobs
$26.59 - $33.25
2% of jobs
$33.25 - $39.92
5% of jobs
$39.92 - $46.58
11% of jobs
$48.54 is the 25th percentile. Wages below this are outliers.
$46.58 - $53.24
18% of jobs
The median wage is $56.72 / hr.
$53.24 - $59.91
24% of jobs
$65 is the 75th percentile. Wages above this are outliers.
$59.91 - $66.57
18% of jobs
$66.57 - $73.23
13% of jobs
$73.23 - $79.90
5% of jobs
$79.90 - $86.56
3% of jobs
$13
$58
$86
How much do quant python remote jobs pay per hour?
As of Aug 20, 2026, the average hourly pay for quant python remote in Derby, CT is $58.80, according to ZipRecruiter salary data. Most workers in this role earn between $48.46 and $66.78 per hour, depending on experience, location, and employer.
What is a Quant Python Remote?
A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.
What are the key skills and qualifications needed to thrive as a Quant Python Remote professional?
To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.
What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?
Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.
What is the difference between Quant Python Remote vs Quantitative Analyst?
| Aspect | Quant Python Remote | Quantitative Analyst |
|---|---|---|
| Required Credentials | Degree in Math, Stats, or CS; Python proficiency; sometimes certifications | Degree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common |
| Work Environment | Remote, flexible hours, often self-directed | Typically office-based, but increasingly remote; collaborative teams |
| Employer & Industry | Financial firms, hedge funds, fintech companies | Investment banks, asset management firms, hedge funds |
| Search & Comparison Intent | Looking for remote Python-based quant roles | Seeking quantitative analysis roles in finance |
While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.
What cities near Derby, CT are hiring for Quant Python Remote jobs?
Cities near Derby, CT with the most Quant Python Remote job openings:
Full-time
Posted yesterday
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Job description
Contact: Neisha Camacho/Terra Parsons –
No 3rd party candidates
This hands-on role sits at the intersection of Data Science, Biostatistics, Statistical Programming, and Clinical Data Management. The ideal candidate combines strong programming skills with clinical study experience and can build practical solutions that improve how teams access, analyze, visualize, and work with clinical data.
This individual will support ongoing studies while building technical infrastructure, automation, and reusable tools for a growing Biometrics organization. The successful candidate will be forward-thinking, collaborative, and comfortable introducing modern approaches in a cross-functional environment.
Primary Responsibilities
- Develop data science solutions, analytical tools, dashboards, and visualizations to support clinical studies and data review.
- Build reusable tools, workflows, and infrastructure for Statistical Programming, Biostatistics, Data Management, and other teams.
- Build automated workflows using GitHub/GitHub Actions for quality checks, validation, code review, testing, and deployment.
- Work with databases and data sources to support integration, analysis, and visualization.
- Apply R and SAS to clinical data and analytical challenges and use Python when appropriate.
- Develop and maintain interactive applications using R Shiny.
- Partner across Biometrics and other clinical functions to understand study needs and develop effective technical solutions.
- Identify opportunities to automate manual processes and improve efficiency.
- Establish effective Git/GitHub, version control, and collaborative development practices.
- Help team members adopt modern programming, automation, and application development practices.
- Contribute technical expertise as Data Science and clinical analytics capabilities grow.
Qualifications
- Bachelor's or Master's degree in Data Science, Statistics, Biostatistics, Computer Science, or a related quantitative field.
- Significant Data Science, Statistical Programming, Clinical Analytics, or related experience within pharma, biotech, or clinical research.
- Advanced programming experience in R and SAS.
- Strong hands-on experience with Git/GitHub and GitHub Actions.
- Experience developing analytical applications, dashboards, and visualizations, including R Shiny.
- Experience with databases and integrating data into analytical workflows.
- Strong understanding of version control, code review, testing, and automation.
- Experience building reusable technical solutions and infrastructure.
- Experience working with clinical study data and supporting study teams.
- Strong cross-functional communication skills.
- Ability to work independently in a small, growing organization while remaining highly collaborative.
Preferred Experience
- Working knowledge of Python.
- Experience building infrastructure, frameworks, or reusable tools for programmers, statisticians, or data scientists.
- Experience automating development and quality-control processes.
- Experience helping teams adopt Git/GitHub, R Shiny, automation, or other modern development practices.
Key Success Factors
- Hands-on: Personally builds solutions rather than only directing others.
- Forward-thinking: Brings ideas and seeks more efficient ways to solve problems.
- Practical: Selects technology based on the problem.
- Collaborative: Works effectively across clinical and technical functions.
- Builder: Comfortable establishing tools, infrastructure, and new ways of working.
- Self-directed: Identifies needs, proposes solutions, and drives work forward.
About Penfield Search Partners
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
11 - 50 Employees
Headquarters location
Fairfield, CT, US
Year founded
2012