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

Gauntlet - Software Engineer

New York, NY · On-site +1

$113K - $152K/yr

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage ... We're a Series B company with around 75 employees, operating remote-first with a home base in New ...

Advanced skills in SQL and Python, with Looker, Tableau, Amplitude,Statsig for event-based deep ... quantitative field. Location: This role is open to candidates across the US, with preferred ...

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

Python for analysis -- pandas and statistical libraries; you don't freeze when the answer requires ... Degree in a quantitative field * Hex, dbt, and Bigquery experience * Prior growth-stage consumer ...

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)

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)

Senior Actuarial Associate

Manhattan, NY · On-site +1

$160K - $212K/yr

... quantitative experience requirements not applicable to this section): Utilizing SQL, Python, Excel ... Hybrid - 3 days in office/2 days remote. Eligible for Employee Referral Program. To apply, visit ...

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Quant Python Remote information

See Hoboken, NJ salary details

$14

$64

$94

How much do quant python remote jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for quant python remote in Hoboken, NJ is $64.14, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 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 Hoboken, NJ are hiring for Quant Python Remote jobs? Cities near Hoboken, NJ with the most Quant Python Remote job openings:
Senior Energy Project Engineer (Remote)

Senior Energy Project Engineer (Remote)

Altanova

New York, NY • Remote

$90K - $140K/yr

Full-time

Posted 8 days ago


Job description

ALTANOVA is now actively hiring a Senior Energy Project Engineer for a full-time position in our New York office. Alternatively located in our Paris, France office or remotely (GMT-5) for highly qualified individuals.

About Altanova:
Altanova is a leading multidisciplinary consulting firm focused on energy and sustainable innovation. Our Sustainable Infrastructure Development team (SID) combines engineering rigor and advanced analytics to advise corporate clients and large real estate owners. We evaluate and support the implementation of large-scale distributed energy solutions across complex commercial and industrial portfolios. Our team of engineers and consultants is dedicated to help our clients achieve strong economic performance while transforming their environmental and social impact through practical, data-driven solutions.

Role Overview:

Altanova is seeking an Energy Project Engineer with strong analytical capabilities and project experience to evaluate and support the development of distributed energy resources, and other strategies, to power and decarbonize our clients' infrastructures. This role sits at the intersection of engineering, finance, and strategy, requiring the ability to translate complex technical and market data into clear, actionable decisions. You will serve as a trusted technical advisor to our clients, representing their interests in the evaluation, structuring, and delivery of energy generation and procurement initiatives from early-stage feasibility analysis through project management.

A central component of the role involves analyzing the technical and financial impact of distributed energy resources through grid flexibility revenue stacks and other opportunities. The role requires strong quantitative skills to evaluate technical constraints, model revenue streams, and support data-driven investment decisions.

The ideal candidate combines technical depth with economic insight and brings a practical, solution-oriented engineering mindset.

Key Responsibilities:

  • Assess the technical feasibility of renewable energy and storage projects across commercial and industrial portfolios.
  • Perform economic modeling and revenue analysis for solar, battery storage, EV charging, and grid flexibility solutions, including evaluation of electricity market participation and ancillary services opportunities.
  • Advise clients on project strategy and coordinate with developers, EPCs, utilities, and energy suppliers to structure commercially and technically optimized solutions.
  • Lead project development and act as Owner's Representative during design, procurement, construction, and commissioning phases, ensuring delivery on scope, budget, and schedule.
  • Collaborate with Altanova's software development team to enhance analytical capabilities within internal software suites.

Qualifications:

  • Bachelor's degree in Electrical Engineering, Physics, Operations Research, Industrial Engineering, Data Science, or related field (PhD is a plus).
  • 68 years of experience in renewable energy project development, distributed energy resources, feasibility analysis, or related infrastructure projects.
  • Strong knowledge of solar PV, battery storage systems, generators, cogeneration, or microgrids.
  • Familiarity with EV charging, electricity markets, grid flexibility, or data centers.
  • Proficiency in Python and experience with analytics and data science.

What We Offer:

  • Competitive salary and an exceptional benefits package.
  • Opportunities for rapid professional growth, recognition, and collaborative development in a diverse and inclusive environment of talented professionals working every day on exciting, meaningful projects.
  • The chance to be part of a team committed to making a positive and lasting impact on the environment and society.

Applications without a cover letter will not be considered.