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Quant Developer Remote Jobs in Whippany, NJ (NOW HIRING)

Precision Technologies Corp

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... You have an advanced degree in a quantitative field, such as computer science, engineering, physics ...

Keyrock

Engineering Lead- Options

New York, NY · Remote

$104K - $138K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Keyrock

Engineering Lead- Options

New York, NY · On-site +1

$112K - $147K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Keyrock

Head of Engineering - Options

New York, NY · Remote

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Keyrock

Head of Engineering - Options

New York, NY · On-site +1

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Paxos Labs

DeFi Researcher

New York, NY · On-site +1

We're hiring a Quantitative Researcher to help scale Paxos Labs's DeFi risk analysis capabilities ... Familiarity with Data Engineering * Experience with managing a book in TradFi or DeFi across ...

Rakuten Shop Style

Sr. UX Researcher

New York, NY · Remote

Remote opportunity available in the following states: CA, CO, CT, DC, FL, IL, MI, MN, NH, NJ, NY ... Design and execute qualitative and quantitative research across discovery, evaluation, and ...

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 ...

Jose Merciline

Data Analyst (fulltime)

New York, NY · On-site +1

Location can be remote. As long as the candidate is available to work during EST business hours and ... Adept in doing qualitative and Quantitative research. * Building automated dashboards in PowerBI ...

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Showing results 21-40

All JobsQuant Developer JobsQuant Developer Remote JobsQuant Developer Remote Jobs in Whippany, NJ

Quant Developer Remote information

What is a quant developer?

Quant Developers, or quantitative developers, are specialized software engineers who design, build, and maintain complex financial models, trading algorithms, and analytical tools for financial institutions. They work closely with quantitative analysts (quants) to implement mathematical models into code, often using programming languages like Python, C++, or Java. When working remotely, Quant Developers collaborate with teams via digital communication tools and are responsible for ensuring code quality and optimizing performance to support trading and risk management strategies.

What skills and qualifications are needed to thrive as a quant developer in a remote setting?

To thrive as a Quant Developer remotely, you need strong quantitative analysis, programming expertise (especially in Python, C++, or Java), and a background in mathematics, statistics, or finance, often supported by an advanced degree. Familiarity with financial modeling tools, version control systems like Git, and cloud-based collaboration platforms is essential. Exceptional problem-solving skills, self-motivation, and effective communication are key soft skills for excelling in a distributed team environment. These abilities enable accurate model development, seamless remote collaboration, and timely delivery of complex financial solutions.

What are some typical challenges quant developers face when working remotely, and how can they overcome them?

Quant Developers working remotely often encounter challenges such as coordinating with globally distributed teams, maintaining effective communication with traders and researchers, and ensuring secure access to sensitive financial data. Overcoming these challenges involves leveraging collaboration tools, establishing clear communication protocols, and adhering to robust cybersecurity practices. Regular virtual meetings and comprehensive documentation also help maintain alignment and workflow efficiency within the remote quant team.

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

AspectQuant Developer RemoteQuant Analyst Remote
Required CredentialsDegree in Math, Finance, or Computer Science; programming skills (Python, C++, SQL)Degree in Finance, Economics, or Math; strong analytical skills; some programming knowledge
Work EnvironmentCollaborates with developers and traders; coding-focusedAnalyzes data and market trends; supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, hedge funds, investment firms
Common Search & ComparisonOften compared for technical roles in quant teamsRelated but more analysis-focused

While both roles operate within the finance industry and require quantitative skills, Quant Developer Remote primarily focuses on coding and developing trading algorithms, whereas Quant Analyst Remote emphasizes data analysis and strategy support. Understanding these differences helps candidates target their job search effectively.

What cities near Whippany, NJ are hiring for Quant Developer Remote jobs?

Cities near Whippany, NJ with the most Quant Developer Remote job openings:

Quant Developer Remote jobs near you

Data Scientist

Precision Technologies Corp

New York, NY • Remote

$130K - $135K/yr

Full-time

Re-posted 16 days ago

Job description

Role: Data Scientist

Location: Remote, however travel might be required as per business requirements

FTE Only

Where you’re headed

You’ll creatively use data to solve business challenges, often uncovering new and transformative opportunities along the way. Applying advanced analytics, quantitative tools, and modeling techniques, you’ll interpret and offer recommendations based on insights from the data.

Where you’ve been

You’re a problem solver, data expert, analyst, and communicator, who can create new algorithms from scratch. You have an advanced degree in a quantitative field, such as computer science, engineering, physics, statistics or applied mathematics, and have:

Job Description:

  • Familiarity with statistical techniques, data mining, hypothesis testing, and exploratory data analysis
  • Strong knowledge of programming languages with a focus on machine learning and advanced analytics (such as Python, R, Scala)
  • Experience working with large datasets, data pipelines, and relational databases
  • A collaborative mindset with the ability to communicate complex analytical concepts effectively to both technical and non‑technical stakeholders
  • Excellent problem‑solving skills with the ability to analyze issues, identify root causes, and recommend solutions quickly
  • Proven experience building, validating, and deploying machine learning models end‑to‑end in production environments 
  • Strong understanding of model performance evaluation, experiment design, and model lifecycle management 
  • Ability to translate business problems into analytical frameworks and measurable success metrics 
  • Experience working cross‑functionally with engineering, product, and business teams to deliver impact at scale

 

Good to Have:

  • Experience with Generative AI, including large language models (LLMs), prompt engineering, fine‑tuning, and retrieval‑augmented generation (RAG) 
  • Exposure to Agentic AI concepts, such as autonomous agents, tool usage, planning, memory, and multi‑agent workflows 
  • Familiarity with modern ML/AI frameworks (e.g., PyTorch, TensorFlow) and MLOps tools for deployment and monitoring 
  • Experience deploying AI solutions on cloud platforms (Azure, AWS, or GCP) with an understanding of scalability and cost considerations 
  • Knowledge of responsible AI practices, including model explainability, bias mitigation, and governance