Senior Data Scientist ID71658
Orlando, FL · On-site +1
WHAT YOU WILL DO - Develop predictive models and quantitative analytics to prioritize ... Flexible schedule with remote and office options.
Senior Data Scientist ID71658
Orlando, FL · On-site +1
WHAT YOU WILL DO - Develop predictive models and quantitative analytics to prioritize ... Flexible schedule with remote and office options.
GIS Analyst
Orlando, FL · Remote
Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...
GIS Analyst
Orlando, FL · Remote
Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...
Quant Python Remote information
See Sanford, FL salary details
$11.39 - $17.11
1% of jobs
$17.11 - $22.83
0% of jobs
$22.83 - $28.55
2% of jobs
$28.55 - $34.27
5% of jobs
$34.27 - $39.99
11% of jobs
$41.68 is the 25th percentile. Wages below this are outliers.
$39.99 - $45.72
18% of jobs
The median wage is $48.70 / hr.
$45.72 - $51.44
24% of jobs
$55.81 is the 75th percentile. Wages above this are outliers.
$51.44 - $57.16
18% of jobs
$57.16 - $62.88
13% of jobs
$62.88 - $68.60
5% of jobs
$68.60 - $74.32
3% of jobs
$11
$50
$74
How much do quant python remote jobs pay per hour?
As of Jul 8, 2026, the average hourly pay for quant python remote in Sanford, FL is $50.49, according to ZipRecruiter salary data. Most workers in this role earn between $41.63 and $57.36 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Quant Python Remote professional, and why are they important?
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 is a Quant Python Remote job?
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 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 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 cities near Sanford, FL are hiring for Quant Python Remote jobs? Cities near Sanford, FL with the most Quant Python Remote job openings:
Job description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 6+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools;
- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 6+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools;
- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
About AgileEngine
Sourced by ZipRecruiter
Industry
Software development
Company size
201 - 500 Employees
Headquarters location
McLean, VA, US
Year founded
2000