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Remote Junior Quant Developer Jobs in New York (NOW HIRING)

Sublunary

eCommerce Junior (Remote)

New York, NY · On-site +1

Flexible and hybrid working environment including tailored hours, remote working, career breaks, study leave, generous paid parental leave and leave purchase plans. Wed love to hear from you If you ...

Sublunary

eCommerce Junior (Remote)

New York, NY · On-site +1

Flexible and hybrid working environment including tailored hours, remote working, career breaks, study leave, generous paid parental leave and leave purchase plans. Wed love to hear from you If you ...

Socotec

Junior Software Engineer

Manhattan, NY · On-site +1

$110/day

Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ... remote day Salary: $110-140k All your information will be kept confidential according to EEO ...

Socotec

Junior Software Engineer

Manhattan, NY · On-site +1

Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ... remote day Salary: $110-140k All your information will be kept confidential according to EEO ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Master's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field You ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

Perform other duties, as needed Qualifications: * 5+ years of experience in Quantitative Analysis ... Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well ...

Tuesday Health

Software Developer

New York, NY · Remote

Software Developer (Junior-Mid) Location: Remote Who We Are: Tuesday Health is a value-based palliative care provider group dedicated to transforming serious illness and end-of-life care. We deliver ...

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Remote Junior Quant Developer information

What is a remote junior quant developer?

A Remote Junior Quant Developer is an entry-level professional who works from a remote location to support quantitative research and financial modeling, often within banks, hedge funds, or fintech companies. Their responsibilities typically include developing, testing, and maintaining algorithms and quantitative models that help inform trading strategies or risk management. They use programming languages like Python, C++, or R to analyze large data sets and automate processes. As 'junior' developers, they work under the guidance of more senior quantitative analysts or developers while building their technical and financial expertise.

What are the key skills and qualifications needed to thrive as a remote junior quant developer?

To thrive as a Remote Junior Quant Developer, you need a strong background in mathematics, statistics, and programming (often Python, C++, or Java), typically supported by a relevant degree in quantitative fields like math, physics, or computer science. Familiarity with financial modeling tools, version control systems like Git, and quantitative libraries such as NumPy or pandas is commonly required. Attention to detail, problem-solving abilities, and clear communication are critical soft skills, especially when collaborating remotely with cross-functional teams. These skills ensure accurate model development, efficient code collaboration, and effective teamwork in the fast-paced, data-driven finance industry.

What is the difference between Remote Junior Quant Developer vs Remote Quant Analyst?

AspectRemote Junior Quant DeveloperRemote Quant Analyst
Required CredentialsBachelor's in Math, CS, or related field; some programming experienceBachelor's or higher in Finance, Math, or related; programming skills beneficial
Work EnvironmentCollaborative teams in finance or hedge funds; focus on coding and model developmentResearch-focused; analyzing data, developing trading strategies, reporting
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, investment firms, hedge funds

The Remote Junior Quant Developer primarily focuses on coding, developing algorithms, and building models, often requiring programming skills and a background in math or computer science. In contrast, the Remote Quant Analyst emphasizes data analysis, research, and strategy development, often with a stronger emphasis on finance knowledge. Both roles are common in financial firms and often overlap in skills, but they differ in daily tasks and focus areas.

What are some common challenges faced by remote junior quant developers, and how can they be addressed?

Remote junior quant developers often encounter challenges such as limited access to on-the-spot mentorship, difficulties in understanding complex quantitative models without in-person guidance, and the need to communicate effectively across distributed teams. To overcome these hurdles, it's important to proactively seek regular check-ins with senior team members, utilize collaborative tools for code reviews and project tracking, and participate in virtual study groups or forums. Building strong written communication skills and maintaining a disciplined work schedule can also help ensure steady progress and integration with the team.
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Remote Junior Quant Developer jobs near you

Senior Consultant, AI & Data Engineering

Castleton Tower

New York, NY • Remote

$250K - $500K/yr

Full-time

Re-posted 12 days ago

Job description

The Firm

Castleton Tower is a boutique consulting firm founded by executives who have built and led quantitative research, data science, and technology teams at top-tier hedge funds and asset managers. We work exclusively with investment management firms (RIAs, family offices, hedge funds, and asset allocators) helping them modernize their data infrastructure and build AI-ready foundations.

What makes us different: We're a lean firm where senior practitioners do the actual work. No armies of junior consultants learning on your dime. Our engagements blend high-level strategy with hands-on technical implementation. We'll assess your technical & business strategy, design your data architecture and also code up the full stack infrastructure where needed.

The Opportunity

We're looking for a technical leader who can design and build data platforms for investment firms. This role emphasizes hands-on engineering while maintaining strategic client engagement. You'll architect data warehouses, build production pipelines, and develop quantitative tools that directly support investment decisions.

What you'll get:

  • Strategic Impact: Lead full-scope projects from architecture design to production deployment

  • Direct Mentorship: Work alongside the firm's Principals on every engagement

  • Modern Tech Stack: Work with best-in-class tools (Snowflake, Databricks, dbt, Dagster, cloud infrastructure, etc.) and cutting-edge AI/agentic development workflows

  • Path to Partnership: Clear trajectory toward firm equity and partnership for high performers

Core Responsibilities

Technical Leadership

  • Lead the design and implementation of scalable data platforms (data warehouses, data lakes) and end-to-end data pipelines

  • Develop and optimize production-grade code (Python/Spark) for data transformation and financial analysis

  • Build customized analytical applications, dashboards, and quantitative investment tools

  • Ensure efficient delivery and adherence to data governance and integrity standards

Client Engagement

  • Collaborate with client investment teams to translate investment process requirements into robust, automated tools and data products

  • Provide technical and project leadership across engagements

  • Understand client business context to ensure technical solutions solve real problems

Qualifications

Required:

  • 7+ years of hands-on experience in a technical or analytical role (Quant, Quant Dev, Data Scientist, or Data Engineer). Minimum of 5 years for highly exceptional candidates

  • Prior experience at hedge funds, fintech firms/startups, market makers, or top-tier asset management firms. Experience at top technology or strategy consulting firms considered on a case-by-case basis

  • Demonstrated project leadership, ideally overseeing technical delivery from inception to production

  • Proficiency in Python (Pandas, NumPy, Scikit-learn) and advanced SQL query optimization

  • Experience with at least one major cloud platform (AWS, GCP, or Azure) and associated data services (Snowflake, Databricks)

  • Deep understanding of data modeling and data warehousing principles

Valued:

  • Familiarity with data pipeline orchestration tools (Airflow, Dagster, Prefect)

  • Experience building quantitative trading or investment tools

  • Background in financial data (market data, portfolio analytics, fund accounting)

Personal Attributes:

  • High ownership mentality: you see problems through to resolution without being told

  • Understands what high-quality work looks like and how to deliver it

  • Curious and interested in learning about new technologies and the investment industry

  • Seeks to understand the broader business context, not just the technical requirements

  • Independent thinker who takes initiative

Location & Compensation

Location: Hybrid in the NYC area. Expect to travel roughly one week per month for on-site client work.

Compensation:

  • Total expected compensation: $250 to $500K+ (commensurate with experience)

  • Firm equity available for high performers

Compensation Range: $250K - $500K