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Quant Python Remote Jobs in Norwalk, CT (NOW HIRING)

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

Python for analysis -- pandas and statistical libraries; you don't freeze when the answer requires ... Degree in a quantitative field * Hex, dbt, and Bigquery experience * Prior growth-stage consumer ...

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.

Includes presenting sets of primarily quantitative raw data in a schematic form. The visuals used ... R or Python Statistical Programming, Structured Query Language (SQL), Tableau/Power BI, Snowflake)

BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or ... Proficient in one or more programming languages, such as Python. * Experience using AI tools to ...

Implementation Consultant

New York, NY · On-site +1

$100K - $125K/yr

... remote support Manage complex implementation projects across internal and external teams to make ... Quantitative Finance, Economics, Math, Physics, Engineering, Computer Science or another similar ...

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

... other quantitative fields * Advanced machine learning modeling and/or technical expertise in ... Python (Programming Language) * R Statistics * Statistical Analysis * Statistics * Time Series ...

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Quant Python Remote information

See Norwalk, CT salary details

$13

$58

$86

How much do quant python remote jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for quant python remote in Norwalk, CT is $58.84, according to ZipRecruiter salary data. Most workers in this role earn between $48.51 and $66.83 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?

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 popular job titles related to Quant Python Remote jobs in Norwalk, CT?

For Quant Python Remote jobs in Norwalk, CT, the most frequently searched job titles are:

What cities near Norwalk, CT are hiring for Quant Python Remote jobs?

Cities near Norwalk, CT with the most Quant Python Remote job openings:

Infographic showing various Quant Python Remote job openings in Norwalk, CT as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $122,393 per year, or $58.8 per hour.

Sr. Analyst, Digital HEDIS & Quality Analytics - (Remote)/2 positions available

EmblemHealth

New York, NY • Remote

Full-time

Posted 13 hours ago

Posted today


EmblemHealth rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

14th of 311 rated insurance


Job description

Summary of Position

Provide analysis, reporting, and predictive modeling to support the quality department digital HEDIS strategy under the quality measurement analytics team. Implement automation of manual reporting and analysis of business implications and trends. Automate the intake, use and data governance of clinical and supplemental data sources to support all HEDIS/QARR/Star metrics. Identify areas of opportunity and new data sources to support quality metrics. Work closely with quality department, IT, NCQA certified HEDIS vendor and auditors to ensure readiness for digital quality. Prepare and present analytical dashboards and data to key stakeholders to support strategic decision making.


Principal Accountabilities

  • Implement reporting and reconciliation workflows and document processes.  
  • Responsible for medical trend studies as they pertain to quality initiatives.  
  • Identify data improvement opportunities through review of HEDIS/QARR/Star reports and data outputs and detecting data acquisition, capture, and system error issues.  
  • Work with IT and others to plan and execute digital readiness, including readiness for FHIR.  
  • Work with vendors, providers, and others to identify new sources of clinical data ingestion (e.g. data aggregators, EHRs, HIEs, etc).    
  • Perform research and collection of data, including data mining and reporting, which is provided to various customers inside and outside the department.   
  • Develop complex and/or advanced statistical/modeling analyses of quality metrics for Medicare, State Sponsored Programs, and other populations.   
  • Maintain automated quality dashboards and measure profiles utilizing data visualization tools.  
  • Provide analytical and technical support for design, development and maintenance of quality improvement and wellness initiatives. Build self-service reports to be used by the quality department.  
  • Analyze business problems related to quality experience of member, particularly related to how members receive care and other factors influencing the STARS rating.  
  • Present analytical findings to internal business partners, leading discussions and providing delivery of further analysis.  
  • Collaborate with internal quality management teams to assist on quality improvement initiatives. 

Qualifications

  • Bachelor's Degree in analytical/quantitative field including healthcare management, finance, business, mathematics, engineering, applied stats/economics, or any other related fields  
  • Master's Degree preferred  
  • 4 - 6+ years of relevant, professional work experience (Required)  
  • 3+ years of experience in managed care/healthcare analytics (Required)  
  • Advanced knowledge of HEDIS and Medicare Stars, including experience working with electronic clinical quality measures and related data sources (Required)  
  • Proficient in Microsoft Office (Word, PowerPoint, Excel, Access) (Required)  
  • Advanced experience with relational database applications (such as SAS, R, SQL, or others) (Required)  
  • Experience with improving and automating processes using programming languages/software (Python, VBA, R, SAS, C++, or others) (Required)  
  • Experience with and proficient in statistical software/programs (such as SAS, R, Stata, Minitab or others) (Preferred) 
  • Experience with and proficient in data visualization tools (such as Power BI, Tableau) (Required) 
  • Strong communication skills (verbal, written, presentation, interpersonal) (Required) 
  • Demonstrated self-starter with ability to develop projects end to end independently (Required)    
     
Additional Information
  • Requisition ID: 1000003327
  • Hiring Range: $68,040-$118,800

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