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Quant Python Remote Jobs in Northport, NY (NOW HIRING)

Wood Plc

GIS Analyst

New York, NY · 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 ...

Wintermute

DeFi Algorithmic Trader

New York, NY · On-site +1

Proficiency in programming with at least one of Rust or Python * Comfortable working on Linux ... Experience with programmatic statistical analysis and quantitative / analytic skills * High level ...

Cohen Veterans Network

Research Associate

Stamford, CT · Remote

... Remote Area Institute for Quality Business Cohen Veterans Network, Inc. Status Full Time Exempt ... Conduct EHR-based data extraction, transformation, and analysis using SQL and R and/or Python

De Circle

Gauntlet - Software Engineer

New York, NY · On-site +1

$113K - $152K/yr

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage ... We're a Series B company with around 75 employees, operating remote-first with a home base in New ...

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All JobsQuant Python JobsQuant Python Remote JobsQuant Python Remote Jobs in Northport, NY

Quant Python Remote information

See Northport, NY salary details

$13

$61

$91

How much do quant python remote jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for quant python remote in Northport, NY is $61.88, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $70.29 per hour, depending on experience, location, and employer.

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 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 is the difference between Quant Python Remote vs Quantitative Analyst?

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking 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 job categories do people searching Quant Python Remote jobs in Northport, NY look for? The top searched job categories for Quant Python Remote jobs in Northport, NY are:
What cities near Northport, NY are hiring for Quant Python Remote jobs? Cities near Northport, NY with the most Quant Python Remote job openings:
Quant Python Remote jobs near you
Infographic showing various Quant Python Remote job openings in Northport, NY as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $128,718 per year, or $61.9 per hour.

Senior Quality Data Analyst - Remote

EmblemHealth

New York, NY • On-site, Remote

$68K - $118K/yr

Full-time

Re-posted 26 days ago

EmblemHealth rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 303 rated insurance

Job description

Summary of Job
Support the Quality Management department in the development and maintenance of a monitoring and reporting structure for data reports and analysis related to the HEDIS-QARR project, pharmacy adherence initiatives, and other performance improvement initiatives related to Medicare Stars and Medicaid QIA. Provide analysis of HEDIS-QARR projects, pharmacy adherence initiatives, and other performance improvement initiatives related to Medicare Stars and Medicaid QIA. Develop meaningful insights and actionable analytics using advanced statistical and/or modeling analyses to drive quality and STARS performance.
Responsibilities
  • Analyze monthly rate reports and stratify data to identify statistically significant trends.
  • Evaluate effectiveness of complex quality improvement projects established for all Medicare and state-sponsored programs.
  • Create reports to track, monitor and report on provider and network-wide quality performance, including performance towards Medicare Stars and NYSDOH quality goals.
  • Perform exploratory and in-depth data analyses for assigned measure/population and develop complex predictive models utilizing independent variables and programming language.
  • Identify data improvement opportunities through review of HEDIS/QARR/Star reports and data outputs and detecting data acquisition, capture, and system error issues.
  • Provide analytical and technical support in the design, development and maintenance of quality improvement and wellness-based initiatives.
  • Work with various teams in Quality Management to develop needed tools to track, trend and directly impact measures results related to Quality Scores.
  • Perform regular rate/impact /trending analysis and recommend corrective actions to meet quality targets.
  • Maintain up-to-date knowledge and understanding of HEDIS/QARR/Star measure technical specifications.
  • Support quality specific interoperability efforts.
  • Support quality specific regulatory needs.

Qualifications
  • Bachelor's Degree in an analytical/quantitative field (healthcare management, finance, business, mathematics, engineering, applied stats/economics, or related).
  • Master's Degree (Preferred)
  • 4 - 6+ years of relevant, professional work experience in an analytical role (Required)
  • 2+ years of managed care/healthcare experience (Preferred)
  • Proficient in MS Office - Word, PowerPoint, Excel, Access (Required)
  • Advanced experience with relational database applications - SAS, R, SQL, or others (Required)
  • Experience with improving or automating processes using programming languages/software - Python, VBA, R, SAS, C++, etc. (Required)
  • Experience with and proficient in statistical software/programs - SAS, R, Stata, Minitab or others (Required)
  • Familiarity with Business Intelligence tools - Tableau, Power BI (Preferred)
  • Knowledge of HEDIS and Medicare Stars reporting processes (Preferred)
  • Strong communication skills - verbal, written, presentation, interpersonal (Required)

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