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Quant Python Remote Jobs in Phillipsburg, NJ (NOW HIRING)

Quant Python Remote information

See Phillipsburg, NJ salary details

$12

$55

$81

How much do quant python remote jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for quant python remote in Phillipsburg, NJ is $55.56, according to ZipRecruiter salary data. Most workers in this role earn between $45.82 and $63.12 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?

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 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 cities near Phillipsburg, NJ are hiring for Quant Python Remote jobs? Cities near Phillipsburg, NJ with the most Quant Python Remote job openings:
Sr. Data Engineer - Provider Registry - Remote

Sr. Data Engineer - Provider Registry - Remote

NAVA Software Solutions

Bedminster, NJ • On-site, Remote

$116K - $140K/yr

Full-time

Posted 16 days ago


Job description

NAVA Software solutions is looking for a Sr. Data Engineer - Provider Registry
Details:
Sr. Data Engineer - Provider Registry
Location: Remote project
Duration: 6-12 months
The Senior Data Engineer will apply a logical, systematic approach to problem-solving using mathematical and statistical techniques and/or innovative/quantitative analytical approaches to identify and qualify the Provider Registry and make recommendations to resolve business problems and help drive change. This involves gathering, manipulating and synthesizing data, models and other relevant information to draw conclusions and provide segmentation of the Provider Registry.The right person for this role will have a background in Data Engineering, will have rich experience building robust software solutions, and will have experience working with large data sets.
What You Will Do:
  • Applying new algorithms to enable fuzzy matching
  • Scaling application of the algorithm using dataframes such as Pandas and GPUs
  • Applying new algorithms to introduce new linkages from the data
  • Segmentation using diverse intuitive and non-intuitive data points and potentially fuzzy matching data sources
  • Working to design and build new approaches to measuring quality and improving algorithms and matching processes
  • Working with the data platform to build solutions
  • Prepare reports and present analytic results in non-technical language with an orientation toward answering questions and addressing issues

Skills and Experience You Will Need:
  • Experience building production data pipelines with distributed data processing technologies.
  • Hands-on and deep experience with schema design and data modeling.
  • Proficiency in Python and are passionate about writing clean, supportable code.
  • Advocacy for data quality. You have a strong opinion on when data audits, unit tests, and documentation can be most effective.
  • Technical thought leadership
  • Proficient business skills to understand problems and build the algorithms necessary to find the right answers applicable to the business needs
  • Experience and enjoy mentoring others.

Ideal Candidate:
  • 5+ years experience as a Data EngineerDeveloper
  • Python
  • Experience with Scala, Pandas
  • Experience debugging complex data pipelines
  • Experience with Unix/Linux
  • Azure or AWS experience
  • Experience with databases
  • RDBMS/SQL
  • Experience with data normalization

Desired Skills:
  • Experience with Big Data fundamentals
  • Machine learning libraries on Python (including unsupervised learning models)
  • Hadoop, Spark, Parquet
  • Experience with AWS
  • Experience with APIs
  • Experience with Java
  • Experience with streaming technologies
  • Kafka, Flink, Spark Streaming
  • Experience with NoSQL databases
  • Experience with monitoring tools
  • Knowledge of K8s/Docker

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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