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Python Analytics Jobs (NOW HIRING)

Farther

Portfolio Quant Developer

New York, NY · On-site +1

Build optimized Python analytics for portfolio measurement at scale - supporting multi-asset books across tens to hundreds of billions in AUM * Own cost basis, holdings, and transaction data ...

Palnar

Python Developer

$51.50 - $71/hr

... analysis/static analysis tools Experience agile methodologies such as scrum. Education: Bachelor's degree in computer science, Information Technology or equivalent work experience(required) Must ...

Leisnoi Incorporated

Python Developer

$51.50 - $71/hr

Job Title Python Developer Education N/A Location Remote (Virtual) - US - US (Primary) Career Level ... Collaborate with engineers, analysts, and business stakeholders to support current and emerging ...

Innosoul inc

Python Developer

Raleigh, NC · On-site

$48.75 - $67.25/hr

This role plays a key part in moving data between legacy and modern platforms, ensuring data quality, and enabling analytics and automation through Python and Power BI. Key Responsibilities: Develop ...

New

SA Technologies Inc.

Python Developer

New York, NY · On-site

$55 - $75.75/hr

Candidate will ideally be someone who has experience with the use of Python in the data analysis/big data and ideally, econometrics spaces particularly has experience with Risk Analytics programming.

krg technology inc

Python Developer

Atlanta, GA

$48.25 - $66.50/hr

H1B,GC, USC Exp:9+years Required Skills: 1. Programming (Python) (8) 2. Data Analysis(8) 3. 5+ Years' experience analyzing large, complex multidimensional datasets 4. Creative, Self-motivated and ...

ConsultAdd, Inc.

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

We are also focused on bulk data management and data analysis. We are an authorized reseller (both ... For Python: PYTHON developer responsible for integrating the front-end elements into the ...

Mindlance

Modeler Developer - Python

Mclean, VA · On-site

$51.50 - $71/hr

Modeler Developer - Python Duration: 6 Months - Long Term Location: McLean, VA 22102 Fully Onsite ... Play a key role in analyzing and converting complex SQL queries to align with new data sources ...

Starr

AI/ML Engineer

Manhattan, NY · On-site

... or Python analytics experience with a proven track record in advanced analytics as well as hands-on experience with digital and CRM data (structured and unstructured). • Proven ability to ...

NAVA Software Solutions

Python Developer

Atlanta, GA · On-site

$48.25 - $66.50/hr

Python Developer Location: Richmond, Chicago, Charlotte; Jersey City and Atlanta - Onsite Duration ... Excellent analysis and troubleshooting skills. Desired Skills: * Agile Project Process Knowledge.

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How much do python analytics jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python analytics in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Analytics professional, and why are they important?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
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What cities are hiring for Python Analytics jobs? Cities with the most Python Analytics job openings:
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Python Analytics jobs near you
Infographic showing various Python Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Portfolio Quant Developer

Portfolio Quant Developer

Farther

New York, NY • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Job description

Company Description
Farther is a rapidly growing RIA that combines expert advisors with cutting-edge technology - delivering a comprehensive, tailored wealth management experience.
Farther's founders are leaders and innovators from the private wealth industry who possess a unique blend of traditional wealth management, fintech, and technology production expertise. We're backed by top-tier venture capital firms, fintech investors, and industry leaders.
Joining Farther means joining a collaborative team of entrepreneurs who are passionate about helping their clients and our teammates achieve more. If you're the type who breaks through walls to get things done the right way, we want to build the future of wealth management with you.
The Role
Farther's trading team is building institutional-grade portfolio management and order management infrastructure - the kind that handles $100B+ in AUM across thousands of client accounts. We're looking for a Quant Portfolio Developer who can own the analytics layer: account performance, cost basis, risk modeling, and the quantitative foundation that makes sophisticated execution possible. You'll work closely with a small team of trading engineers and specialist contractors to build systems that didn't exist before.
Your Impact
  • Build optimized Python analytics for portfolio measurement at scale - supporting multi-asset books across tens to hundreds of billions in AUM
  • Own cost basis, holdings, and transaction data integrity - ingesting custodian data and calculating portfolio returns accurately
  • Model portfolio risk across asset classes, including factor, duration, curve, spread, convexity, beta, and options risk exposures
  • Support portfolio construction logic and multi-asset allocation workflows
  • Contribute to execution algorithm development - including market impact measurement and VWAP-style execution analytics

The Ideal Match
  • 3-10 years in portfolio performance, analytics, or construction
  • Deep familiarity with the trade lifecycle: holdings, transactions, corporate actions, cost basis, and reconciliation
  • Multi-asset class experience: equities, fixed income, munis, alternatives, and options
  • Fixed income fundamentals: duration, key-rate duration, spread risk, carry/roll, and laddered or optimized bond construction
  • Derivatives-aware portfolio construction: delta-based exposures, overlays, and options-related risk measures
  • Strong Python - comfortable in Jupyter-centric research workflows for exploratory analysis, back-testing, and rapid prototyping

Bonus Points
  • AWS experience
  • Experience with PMS or OMS platforms (e.g., Black Diamond, Advent, Charles River)
  • Background at a custodian (Schwab, Fidelity) or trading house - you've seen this problem from the other side
  • Familiarity with Black-Litterman, shrinkage estimators, robust optimization, or Bayesian approaches to portfolio construction
  • Familiarity with hierarchical risk parity, equal risk contribution, or other modern allocation frameworks

Why Join Us
  • Ground-floor opportunity to build institutional trading infrastructure - from scratch, at real scale
  • Competitive comp package that rewards impact
  • Work alongside some of the brightest minds in fintech
  • Chart your own growth path as we scale
  • Full health benefits + 401(k) matching & Roth IRA options
  • Unlimited PTO

Ready to disrupt wealth management? Let's talk!
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About Farther

Sourced by ZipRecruiter

Farther is a new kind of financial institution: combining expert advisors and cutting-edge technology to deliver a comprehensive, tailored wealth management experience. Farther empowers advisors to deliver exceptional value to their clients -- on their own terms. We're here to help established advisors scale, providing everything they need to succeed from technology to client support and from marketing to mentoring. To deliver on that goal, we've reimagined what a wealth management platform delivers, allowing clients to easily find a financial advisor and communicate how and when they want, to customize, invest, and professionally manage their entire financial lives in one place, and to automatically squeeze more out of every hard-earned dollar to reduce their tax bills. In other words, we help our clients go Farther. Farther's founders are leaders and innovators from the private wealth industry and possess a unique mix of traditional wealth management, fintech, and technology production expertise. We're backed by top tier venture capital firms, fintech investors, and industry leaders. Joining Farther means joining a collaborative team of entrepreneurs and builders who are passionate about helping our clients and our teammates achieve more. If you're the type who breaks through walls to get things done the right way, we want to go farther with you.

Industry

Finance and insurance

Company size

51 - 200 Employees

Headquarters location

New York, NY, US

Year founded

2019

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