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Quant Python Remote Jobs in West Virginia (NOW HIRING)

AmeriSave Mortgage Corp.

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... Write Python scripts to perform statistical analysis, automate data pipelines, and integrate ...

GDIT

Data Analysis Manager

WV · On-site +1

Yes Data Analytics Manager The Data Analytics Manager will lead a remote, cross-functional team of ... Required Education Bachelor's degree in a technical, quantitative, or related field, such as Data ...

GDIT

Analytics Engineer

WV · On-site +1

$127K - $172K/yr

This position is fully remote and requires a Public Trust (or the ability to obtain it). US ... Design, build, and maintain automated, scalable ETL/ELT data pipelines using Python, SQL, and cloud ...

GDIT

Data Scientist Principal

WV · On-site +1

$122K - $165K/yr

Skills: Artificial Intelligence (AI), Machine Learning Methods, Python (Programming Language ... Remote CLEARANCE: Ability to obtain a Public Trust: candidate must have lived in the United States ...

GDIT

Senior Data Scientist - Machine Learning

WV · On-site +1

This is a remote role. Candidates must reside in the United States. MEANINGFUL WORK AND PERSONAL ... Master's in a quantitative field (statistics, computer science, engineering, applied mathematics or ...

GDIT

Data Scientist Principal

WV · On-site +1

$144K - $195K/yr

Experienced with Python data science stack (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) and ... Remote GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of ...

First American

Exceptional analytical, quantitative, and problem-solving skills. * Ability to translate business ... Proficiency in Python, SQL, JSON, or similar technologies to support data analysis, automation, and ...

All JobsQuant Python JobsQuant Python Remote JobsQuant Python Remote Jobs in West Virginia

Quant Python Remote information

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 West Virginia?

For Quant Python Remote jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Quant Python Remote jobs in West Virginia look for?

The top searched job categories for Quant Python Remote jobs in West Virginia are:

Quant Python Remote jobs near you

Senior Quantitative Analyst - Mortgage Operations

AmeriSave Mortgage Corp.

Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Key responsibilities

  • Design and develop advanced quantitative models to support forecasting, pricing optimization, and risk assessment.

  • Analyze operational and financial metrics to identify deficiencies and opportunities, and develop actionable recommendations.

  • Create and maintain frameworks for tracking and analyzing business performance, including developing metrics, dashboards, and automated reports.

Job description

AmeriSave Mortgage has set the standard in online mortgage lending with over $130 billion in funded loan volume. As one of the top-rated, largest privately-owned online mortgage lenders in the nation, our mission is to deliver beneficial, responsible home lending solutions with unwavering integrity, dedication and excellence. We leverage cutting-edge technology and data-driven strategies to provide exceptional service to our customers.
 
Our employees are the driving force behind our success. We believe in the power of a dynamic and talented workforce and creating an environment where your contributions are not just recognized, they’re celebrated. Your success is our success, and we are seeking skilled professionals who are ready to bring their A-game, exceed benchmarks and enhance the overall excellence of AmeriSave, while also growing and advancing their careers.
At AmeriSave, we're one team with one shared dream - to be the best.  Let’s redefine excellence together!
What We’re Looking For:
We are seeking a Quantitative Analyst to join the Enterprise Intelligence team. This fully remote role will focus on developing and maintaining sophisticated quantitative models and conducting deep analysis of business metrics to uncover deficiencies and opportunities that drive revenue and profit.
This is a fast-paced, high-ownership environment where ideas move quickly from concept to production. You will work on projects that are not only technically challenging but also highly visible and business-critical, delivering tangible impact across the organization. Analysts are empowered to take initiative, think creatively, and solve hard problems—resulting in deeply rewarding and high-leverage contributions that drive revenue and profit for the company.
What You’ll Do: 
  • Design and Develop Quantitative Models: Build advanced statistical and quantitative models to support forecasting, pricing optimization, and risk assessment. Ensure models are efficient, transparent, and suitable for deployment in production environments.
  • Analyze Business Metrics & Identify Opportunities: Rigorously analyze operational and financial metrics to detect process deficiencies, performance gaps, and new opportunities to improve revenue and profitability. Develop actionable recommendations and partner with business leaders to prioritize and implement improvements.
  • Data-Driven Performance Measurement: Create and maintain frameworks for tracking and analyzing business performance across the mortgage lifecycle. Develop metrics, dashboards, and automated reports that enable stakeholders to monitor progress and act on insights.
  • SQL-Based Analytics Solutions: Author and optimize complex T-SQL code to extract, transform, and analyze large volumes of production data. Develop stored procedures and workflows that operationalize model outputs and support business monitoring.
  • Python Modeling and Automation: Write Python scripts to perform statistical analysis, automate data pipelines, and integrate machine learning workflows. Leverage Python for data preparation, model training, and result generation.
  • Model Validation and Monitoring: Rigorously test, validate, and monitor model performance over time. Develop processes to recalibrate or enhance models as needed to maintain accuracy and business alignment.
What You’ll Need:
  • Quantitative Modeling Expertise: 5+ years of experience developing statistical, econometric, or machine learning models in a business environment.
  • Advanced SQL Skills: Advanced T-SQL queries, stored procedures, and data transformations in Microsoft SQL Server.
  • Python Proficiency: Strong experience with Python for data analysis, statistical modeling, and process automation.
  • Analytical Problem Solving: Ability to independently translate complex business problems into quantitative solutions. Skilled at designing experiments, validating hypotheses, and communicating findings clearly.
  • Business Acumen: Experience evaluating business metrics and KPIs to identify revenue and profit improvement opportunities, operational inefficiencies, and performance trends.
  • College degree preferred
 High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via Ethernet. Minimum speeds: 70/30 Mbps (basic), 200-300/35-70 Mbps (shared), 500-1,000/100+ Mbps (heavy use).
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**Please note that the compensation and benefit information that follows is a good faith estimate for this position only and is provided pursuant to applicable state and local laws on pay transparency. It is estimated based on what a successful applicant in the relevant state might be paid. **  
  
Compensation: 
Annual compensation for this position generally ranges from $130,000 - $150,000. 
 
Benefits: 
  
·         401(k) 
·         Dental insurance 
·         Disability insurance 
·         Employee discounts 
·         Health insurance 
·         Life insurance 
·         Paid time off 
·         12 paid holidays per year 
·         Paid training 
·         Referral program 
·         Vision insurance 
  
Supplemental pay types: 
  
·         Referral bonuses 
  
AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
California Consumer Privacy Act Disclosure Acknowledgment 
Employment Applicants, New Hires, and Employees Residing in California 
  
AmeriSave Mortgage Corporation’s Privacy Policy Statement (“Policy”) can be reviewed here: www.amerisave.com/privacy-policy 
  
AmeriSave Mortgage Corporation’s California Consumer Privacy Act (“CCPA”) Recruitment Disclosure can be reviewed here: https://www.amerisave.com/ccpa-recruitment-disclosure/ 
  
When AmeriSave’s Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable. 

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