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Remote Risk Quant Jobs in Union, NJ (NOW HIRING)

... Remote | New York, NY, United States Quantitative Analyst (Quant) - Initio Capital Location: New ... Risk Management: Collaborate with the risk management team to quantify and assess risk in the ...

Remote work may be considered for exceptional cases. RESPONSIBILITIES * Perform due diligence and ... Excellent analytical, quantitative, and Excel skills; experience working with SFDC and data ...

Junior Margin/Risk Analyst

New York, NY · On-site +1

$75K - $125K/yr

Junior Margin/Risk Analyst Experience: 3-5 Years Location: [New York / Remote] Reporting To: Chief ... Conduct regulatory compliance reviews and reporting. * Assist with quantitative risk assessments ...

Evaluate AI-generated portfolio strategies and risk frameworks. * Assess investment decisions ... Familiarity with quant or data-driven investment approaches. Application Process (Takes 20-30 mins ...

... quantitative research and optimization of DeFi economics. We manage market risk, optimize growth ... We're a Series B company with around 75 employees, operating remote-first with a home base in New ...

Analytics Team Lead

New York, NY · On-site +1

$126.90K - $211.50K/yr

What we do at LexisNexis Risk Solutions LexisNexis Risk Solutions provides customers with solutions ... Location United States (Remote) Who is the ideal candidate? Proven analytics leadership in the ...

Review model reasoning on trade structuring, execution decisions, and risk management. * Provide ... Experience with quant tools ( Python , Excel modeling ). * Familiarity with Bloomberg , MarketAxess ...

We're hiring a Quantitative Researcher to help scale Paxos Labs's DeFi risk analysis capabilities ... We also consider remote work on a case by case basis. Once we receive your application, we'll be in ...

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Remote Risk Quant information

See Union, NJ salary details

$99.9K

$173K

$264.4K

How much do remote risk quant jobs pay per year?

As of May 30, 2026, the average yearly pay for remote risk quant in Union, NJ is $172,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,100.00 and $202,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Risk Quant, and why are they important?

To thrive as a Remote Risk Quant, you need strong quantitative analysis skills, a background in mathematics, statistics, or finance, and typically an advanced degree such as a master's or PhD. Proficiency in programming languages like Python, R, or MATLAB, and familiarity with risk management systems and financial modeling tools are crucial. Exceptional problem-solving, attention to detail, and effective remote communication skills set top candidates apart. These abilities are vital for accurately assessing financial risks, developing robust models, and collaborating efficiently within distributed teams.

What are some common challenges faced by Remote Risk Quants and how can they be managed effectively?

Remote Risk Quants often encounter challenges such as limited access to real-time data streams, maintaining clear communication with on-site teams, and ensuring data security when working offsite. To manage these effectively, it's important to establish robust digital collaboration practices, utilize secure remote access tools, and maintain regular check-ins with stakeholders. Additionally, being proactive in seeking feedback and clarifications helps mitigate misunderstandings and keeps risk analysis aligned with organizational goals.

What are Remote Risk Quants?

Remote Risk Quants are quantitative analysts who work remotely to assess, measure, and manage financial risks for organizations. They use mathematical models, statistical techniques, and programming skills to analyze large datasets and forecast potential risks in investments, portfolios, or financial operations. By working remotely, they collaborate with teams using digital communication tools and often have flexible work arrangements. Their expertise is essential for financial institutions, hedge funds, and corporations to make data-driven risk management decisions.

What is the difference between Remote Risk Quant vs Remote Quantitative Analyst?

AspectRemote Risk QuantRemote Quantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM often preferredSimilar credentials; degrees in math, finance, or engineering; certifications like CFA common
Work EnvironmentFinancial institutions, hedge funds, or risk management firms; primarily analytical and model development rolesFinancial firms, investment banks, or asset management; focus on data analysis and model building
Employer & Industry UsageUsed in risk management, compliance, and regulatory roles within financeUsed in trading, investment analysis, and quantitative research within finance

While both roles require strong quantitative skills and similar educational backgrounds, Remote Risk Quants focus more on assessing and managing financial risks, whereas Remote Quantitative Analysts often concentrate on developing models for trading or investment strategies. The roles overlap but differ mainly in their primary focus within the financial industry.

What are popular job titles related to Remote Risk Quant jobs in Union, NJ? For Remote Risk Quant jobs in Union, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Risk Quant jobs in Union, NJ look for? The top searched job categories for Remote Risk Quant jobs in Union, NJ are:
What cities near Union, NJ are hiring for Remote Risk Quant jobs? Cities near Union, NJ with the most Remote Risk Quant job openings:

Quantitative Analyst (Quant)

Initio Capital

New York, NY • Remote

$145K - $185K/yr

Full-time

Posted 8 days ago


Job description

Job Summary

Quantitative Analyst (Quant)

Initio Capital

Full-time, Part-time, Contract, Temporary, Internship, Casual

Remote | New York, NY, United States


Quantitative Analyst (Quant) – Initio Capital

Location: New York, NY
Employment Type: Full-Time
Estimated Compensation: $145,000 – $185,000 total annual compensation (varies by employer)


About This Posting

This job description represents a sample Quantitative Analyst (Quant) position commonly found through the Career Launch AI Talent Network. It is provided to help job seekers understand the responsibilities and qualifications typically associated with early-career quantitative finance roles. Actual openings vary depending on employer needs.

For more information on the Career Launch AI Talent Network, visit: https://initiocapital.com/assessment


Position Overview

Quantitative Analysts (Quant) at Initio Capital will play a critical role in applying advanced mathematical and statistical methods to drive trading and investment strategies. Working closely with portfolio managers, traders, and researchers, you will leverage programming and quantitative modeling skills to provide actionable insights, enhance portfolio performance, and mitigate risk. This is an ideal opportunity for individuals with a deep understanding of financial mathematics and a passion for utilizing cutting-edge tools to optimize trading strategies.


Key Responsibilities
  • Quantitative Modeling: Develop and implement quantitative models to optimize trading strategies, risk management, and portfolio construction.

  • Statistical Analysis & Machine Learning: Use advanced statistical methods and machine learning techniques to analyze large datasets and derive insights that drive investment decisions.

  • Backtesting & Strategy Validation: Conduct thorough backtesting of trading strategies, validate models, and measure performance across various market conditions.

  • Programming & Automation: Write efficient code in languages such as Python, R, C++, or Java to develop, maintain, and optimize models, ensuring scalability and robustness.

  • Data Analysis & Forecasting: Use large datasets to identify market trends, correlations, and potential opportunities for alpha generation.

  • Risk Management: Collaborate with the risk management team to quantify and assess risk in the portfolio, applying quantitative techniques to mitigate exposure.

  • Collaborative Efforts: Work closely with cross-functional teams, including portfolio managers, traders, and senior leadership, to align quantitative strategies with business goals.

  • Research & Innovation: Stay ahead of market trends and innovations in quantitative finance, exploring new methodologies and tools to enhance model performance.

  • Reporting: Prepare and communicate clear and concise reports, dashboards, and presentations on model performance, risk analysis, and strategy insights to key stakeholders.


Preferred Qualifications
  • Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Computer Science, Engineering, or a related field.

  • Strong understanding of quantitative finance, including asset pricing, risk management, and portfolio optimization.

  • Proficiency in programming languages like Python, R, C++, or Java, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

  • Familiarity with financial markets, trading strategies, and financial instruments such as equities, derivatives, and fixed income.

  • Experience with data analysis tools such as Pandas, NumPy, and SQL, with the ability to handle and analyze large datasets.

  • Strong statistical and analytical skills, with a track record of solving complex financial problems using quantitative methods.

  • Experience in financial modeling or quantitative research (preferably in a hedge fund, investment bank, or asset management setting).

  • Knowledge of risk models and their application in portfolio optimization and performance analysis.

  • Ability to communicate complex quantitative concepts clearly and effectively to both technical and non-technical stakeholders.

  • Attention to detail and a passion for continual learning in the quantitative finance space.

  • Interest in financial markets, trading, and algorithmic strategy development.


About the Career Launch AI Talent Network

The Career Launch AI Talent Network provides job seekers with tools and resources to pursue Quantitative Analyst (Quant) opportunities, including:

  • Skills-based role matching

  • Assistance with resume customization

  • General guidance on outreach to hiring teams

  • Interview preparation for quantitative analysis, financial modeling, and risk management assessments

To learn more or express interest in quantitative finance roles, visit: https://initiocapital.com/assessment