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Quant Python Remote Jobs in Elmont, NY (NOW HIRING)

Headspace

Principal Data Scientist

New York, NY · On-site +1

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 ...

De Circle

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 ...

Wand

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 ...

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)

Relativity

Principal Applied Scientist

Newark, NJ · On-site +1

Remote/Hybrid Relativity is a leading legal data intelligence company building technology that ... Strong Python programming skills and experience with common data and ML libraries such as numpy ...

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All JobsQuant Python JobsQuant Python Remote JobsQuant Python Remote Jobs in Elmont, NY

Quant Python Remote information

See Elmont, NY salary details

$13

$61

$90

How much do quant python remote jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for quant python remote in Elmont, NY is $61.68, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $70.05 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 Elmont, NY are hiring for Quant Python Remote jobs? Cities near Elmont, NY with the most Quant Python Remote job openings:
Quant Python Remote jobs near you
Lead Machine Learning Scientist, New AI Products and Platforms

Lead Machine Learning Scientist, New AI Products and Platforms

The New York Times

New York, NY • On-site, Remote

Other

Posted 7 days ago

Job description

About the Role, Mission or Department Overview

The New York Times is hiring a Lead Machine Learning Scientist to join the New A.I. Products & Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations.

You will provide technical leadership to a team of ML scientists developing embedding models and semantic retrieval algorithms to power new A.I. experiences across our products. Your work will allow teams across the company to build, deploy, and manage applications that use large language models to promote our journalism and our business. Your team will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role.

Responsibilities:

  • You will lead the design and training of embedding models for representation learning, for example using transformer encoders and Two Tower architectures.
  • You will lead the fine-tuning, adaptation, and evaluation of language models for custom product use cases and content enrichment, including information extraction from Times content at scale
  • You will productionalize embedding models and language models while working closely with engineering teams, to integrate ML and AI into user-facing products throughout The Times
  • You will help to define shared practices around evaluation, responsible A.I. use, and what "good" is inside an organization where judgment and independence are important
  • You will identify novel project opportunities to solve critical problems and act on those proposals
  • You will scope ongoing product improvements, prioritizing requests from your team
  • You will build and facilitate relationships across the organization to ensure you meet our projects' goals.
  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • PhD plus 4+ years experience, or 7+ years experience, in machine learning, statistics, computer science, computational social science, or another quantitative/computational discipline
  • 4+ years of experience in creatively reframing our challenges as Machine Learning tasks
  • 4+ years of experience with data cleaning, preparation, feature engineering, and model selection techniques
  • 2+ years of experience coding and deploying in production environments using Python, developing and deploying complex algorithms that are integrated into company process
  • 2+ years of experience building production systems that use LLMs, vision-language models, graph neural networks, or other deep learning models to solve user-facing problems
  • 1+ years of experience mentoring peers or junior ML scientists through pairing and algorithm, model, and code review

Preferred Qualifications:

  • 1+ years of experience with information retrieval or search systems
  • 2+ years of experience collaborating cross-functionally with product managers and software engineers
  • 2+ years of experience scoping and staging work into well-defined milestones and delivering on communicated timelines
  • PhD or Master's research experience in Applied AI

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