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Capital Market Quantitative Analyst Jobs (NOW HIRING)

Initio Capital

Quantitative Analyst (Quant)

New York, NY · On-site +1

$145K - $185K/yr

Job Summary Quantitative Analyst (Quant) Initio Capital Full-time, Part-time, Contract, Temporary ... Use large datasets to identify market trends, correlations, and potential opportunities for alpha ...

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Amicis Global

Quantitative Analyst

Washington, DC · On-site

Job Title: Quantitative Analyst Location: Onsite, Washington, DC (1100 15th Street NW) Schedule ... This role will support capital markets trading and market risk management by translating business ...

Initio Capital

Quantitative Analyst

Manhattan, NY · Hybrid

$145K - $185K/yr

Job Summary Quantitative Analyst Initio Capital Full-time, Part-time, Contract, Temporary, Internship, Casual Hybrid | New York, NY, United States Quantitative Analyst - Initio Capital Location: New ...

New

Capital One Group

As a Quantitative Analyst at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning ...

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Capital Market Quantitative Analyst information

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$133.9K

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How much do capital market quantitative analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for capital market quantitative analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a capital market quantitative analyst?

Capital Market Quantitative Analysts are professionals who use mathematical models, statistical techniques, and computer programming to analyze financial markets and securities. They develop tools and strategies to price assets, manage risks, and inform investment decisions in capital markets, such as stocks, bonds, and derivatives. These analysts often work for banks, hedge funds, investment firms, or regulatory agencies and play a key role in supporting trading, portfolio management, and risk management functions.

What are some typical challenges a capital market quantitative analyst faces when collaborating with traders and risk managers?

Capital Market Quantitative Analysts often work closely with traders and risk managers to develop and implement quantitative models for pricing, risk assessment, and portfolio optimization. One common challenge is ensuring that complex mathematical models are both accurate and easily interpretable by non-quantitative colleagues. Additionally, analysts must frequently adapt their models to rapidly changing market conditions and regulatory requirements, while balancing the need for speed and precision in a high-pressure environment. Effective communication and a proactive approach to collaboration are key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as a capital market quantitative analyst, and why are they important?

To thrive as a Capital Market Quantitative Analyst, you need a solid background in mathematics, statistics, finance, and programming, often supported by a degree in quantitative fields such as mathematics, physics, engineering, or financial engineering. Expertise with programming languages like Python, R, C++, and familiarity with financial modeling software and data analysis tools are highly valued, as are certifications like CFA or FRM. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this role. These competencies enable analysts to develop robust quantitative models, translate complex data into actionable insights, and support sound investment decisions in the fast-paced capital markets environment.

What states have the most Capital Market Quantitative Analyst jobs?

States with the most job openings for Capital Market Quantitative Analyst jobs include:

What are popular job titles related to Capital Market Quantitative Analyst jobs?

For Capital Market Quantitative Analyst jobs, the most frequently searched job titles are:

Quantitative Analyst (Quant)

New York, NY • On-site, Remote

Initio Capital
See more jobs at Initio Capitalexternal

$145K - $185K/yr

Other

Posted 3 days ago

New

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