... quantitative field * 3+ years of progressively complex data science experience * Extensive ... Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R ...
... quantitative field * 3+ years of progressively complex data science experience * Extensive ... Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R ...
Lead Pricing Analyst
Milwaukee, WI · Remote
$89K - $134K/yr
Experience conducting quantitative analysis and developing analytical models, dashboards, data ... Proficiency in tools such as Excel, SAS, R, Python, SQL, and/or Tableau. * Ability to synthesize ...
Lead Pricing Analyst
Milwaukee, WI · Remote
$89K - $134K/yr
Experience conducting quantitative analysis and developing analytical models, dashboards, data ... Proficiency in tools such as Excel, SAS, R, Python, SQL, and/or Tableau. * Ability to synthesize ...
Simulation Engineer
Wauwatosa, WI · On-site +1
$65K - $140K/yr
... remote work. This role involves building and evaluating simulation models that contribute to the ... Ability to apply statistical and quantitative analysis to simulation problems. * Experience with ...
Simulation Engineer
Wauwatosa, WI · On-site +1
$65K - $140K/yr
... remote work. This role involves building and evaluating simulation models that contribute to the ... Ability to apply statistical and quantitative analysis to simulation problems. * Experience with ...
Simulation Engineer
Wauwatosa, WI · On-site +1
$65K - $140K/yr
... remote work. This role involves building and evaluating simulation models that contribute to the ... Ability to apply statistical and quantitative analysis to simulation problems. * Experience with ...
Simulation Engineer
Wauwatosa, WI · On-site +1
$65K - $140K/yr
... remote work. This role involves building and evaluating simulation models that contribute to the ... Ability to apply statistical and quantitative analysis to simulation problems. * Experience with ...
Quant Python Remote information
See Milwaukee, WI salary details
$13.03 - $19.57
1% of jobs
$19.57 - $26.12
0% of jobs
$26.12 - $32.66
2% of jobs
$32.66 - $39.21
5% of jobs
$39.21 - $45.75
11% of jobs
$47.68 is the 25th percentile. Wages below this are outliers.
$45.75 - $52.30
18% of jobs
The median wage is $55.71 / hr.
$52.30 - $58.84
24% of jobs
$63.85 is the 75th percentile. Wages above this are outliers.
$58.84 - $65.39
18% of jobs
$65.39 - $71.93
13% of jobs
$71.93 - $78.48
5% of jobs
$78.48 - $85.02
3% of jobs
$13
$57
$85
How much do quant python remote jobs pay per hour?
As of Jun 24, 2026, the average hourly pay for quant python remote in Milwaukee, WI is $57.76, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $65.62 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 are popular job titles related to Quant Python Remote jobs in Milwaukee, WI? For Quant Python Remote jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Quant Python Remote jobs in Milwaukee, WI look for? The top searched job categories for Quant Python Remote jobs in Milwaukee, WI are:
Kohl's rating
5.8
Based on 1,439 frontline employees who took The Breakroom Quiz
12th of 21 rated department stores
Job description
About the Role
In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.
What You’ll Do
Lead exploratory data analysis to cull actionable insights
Collaborate with stakeholders to understand business requirements and translate them into technical solutions
Develop and implement statistical and machine learning models
Fine-tune, optimize and ensure the scalability of models and algorithms
Aid in designing experiments to answer targeted questions
Identify and drive continuous improvement of key business metrics in an assigned business functional area
Drive adoption and usage of data science products and models
Translate data science outputs into business outcomes and value delivered
Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development
Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s
Additional tasks may be assigned
Addendum
PERSONALIZATION & RECOMMENDATION SYSTEMS
Accountabilities
Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns)
Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue)
Develop multi-stage ranking approaches, including candidate generation and re-ranking
Address cold-start and long-tail challenges in large product catalogs
Partner with engineering to support real-time personalization and scalable deployment
Skills & Experience
Experience with recommendation systems, search, or ranking problems at scale of millions of customers and products
Experience in developing sequential, transformer models and utilizing LLM models in production
Understanding of collaborative filtering and learning-to-rank methods
Experience optimizing models for GPU / distributed training
Familiarity with large-scale datasets and production ML systems
Exposure to real-time or low-latency serving environments
Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred
Experience with delivering end to end customized ML models in production environment
Required
Bachelor’s Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
3+ years of progressively complex data science experience
Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods
Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R, Spark, SQL, GCP, etc.)
Strong problem-solving skills with an emphasis on product development
Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly
Effective communication and collaboration skills at all levels
Preferred
Master’s degree and/or Ph.D.
Retail and Logistics experience
Supply chain management
Marketing models
About Kohl's
Sourced by ZipRecruiter
Industry
Retail
Company size
10,000+ Employees
Headquarters location
Menomonee Falls, WI, US