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Quant Python Remote Jobs in East Orange, NJ (NOW HIRING)

Bread Financial

Manager - Fraud Analytics

New York, NY · On-site +1

Bachelor's Degree in Business, Analytics, Statistics, or a related quantitative discipline. * 10+ ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

The Altus Group

Consultant, Advisory

New York, NY · On-site +1

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)

The Altus Group

Consultant, Advisory

Morristown, NJ · On-site +1

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)

Ts Imagine

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 ...

Bread Financial

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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All JobsQuant Python JobsQuant Python Remote JobsQuant Python Remote Jobs in East Orange, NJ

Quant Python Remote information

See East Orange, NJ salary details

$13

$61

$90

How much do quant python remote jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for quant python remote in East Orange, NJ is $61.15, according to ZipRecruiter salary data. Most workers in this role earn between $50.38 and $69.47 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 job categories do people searching Quant Python Remote jobs in East Orange, NJ look for?

The top searched job categories for Quant Python Remote jobs in East Orange, NJ are:

What cities near East Orange, NJ are hiring for Quant Python Remote jobs?

Cities near East Orange, NJ with the most Quant Python Remote job openings:

Quant Python Remote jobs near you

Staff Scientist, Tech - Science

New York, NY • On-site, Remote

Uber Technologies, Inc.
Ground Public Transportation • 10K+ employees
Learn more about Uber Technologies, Inc.external

Full-time

Retirement

Posted 25 days ago

Uber rating

6.8

Company rating: 6.8 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

Job description

About the role 

As a Staff Scientist working on Earner Program Logistics, you will solve high-stakes optimization and marketplace problems at the boundary of digital algorithms and physical-world delivery. Operating as a principal technical multiplier, you will shape the science strategy for core marketplace decisions-ensuring algorithms optimize for long-term platform value and are incentive-compatible.

In this role, you will lead the end-to-end scientific vision for complex logistics systems, partnering with teams across all of Uber to build a balanced, resilient, and highly efficient marketplace for eaters, merchants, and couriers globally.

What You'll do 

  • Translate strategically important, unstructured problems into rigorous experiments and productionized solutions that move the needle for the Uber Eats business.
  • Drive the end-to-end product development lifecycle from a science and data perspective, solving business challenges using Causal Inference and Optimization.
  • Set the science strategy and experimentation standards across multiple teams, ensuring scientific rigor and driving organization-wide adoption of best practices.
  • Act as a technical multiplier , identifying opportunities for better performance, efficiency, and reduction of technical debt in models and processes.
  • Influence executive-level roadmaps by presenting complex technical findings and long-term strategic recommendations to senior leadership.
  • Own the technical trajectory of critical product areas, ensuring solutions are designed to be extensible, modular, and observable while balancing short-term needs and long-term productivity.

Basic Qualifications 

  • Ph.D., M.S., or B.S. degree in Operations Research, Economics, Statistics, Applied Mathematics, or other quantitative fields.
  • If M.S. degree, a minimum of 6+ years of industry experience required; if B.S. degree, a minimum of 8+ years of industry experience required.
  • Deep expertise in statistical inference and experimental design (e.g., A/B, switchbacks, cluster-randomized trials).
  • Proficiency in SQL and Python to work efficiently with large-scale datasets and distributed tools (e.g., Spark, Hive, Presto).

Preferred Qualifications 

  • Technical Vision: A track record of foreseeing architectural or scientific problems 12+ months out and addressing them before they impact the business.
  • Impact & Scale: Experience leading multi-quarter, cross-functional initiatives that moved significant marketplace or financial metrics in production.
  • Domain Mastery: Specialized expertise in Causal Inference at scale, Economics, or Marketplace Optimization.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For New York City, NY-based roles: The base salary range for this role is USD $216,000 per year - USD $240,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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