Quantitative Analyst (Quant)

TEEMA Solutions Group; New York (NY); On-site; USD 145,000 - 185,000; Full time

Job summary

A financial services firm in New York is seeking a Quantitative Analyst to develop trading strategies using advanced mathematical methods. The ideal candidate holds a degree in Finance or a related field and is proficient in programming languages like Python and R. Responsibilities include quantitative modeling, statistical analysis, and collaboration with cross-functional teams to optimize portfolio performance. This full-time position offers an estimated compensation of $145,000 to $185,000 annually.

Qualifications

• Strong understanding of asset pricing and risk management.
• Experience in financial modeling or quantitative research.
• Ability to communicate complex concepts clearly.

Responsibilities

• Develop and implement quantitative models for trading strategies.
• Conduct backtesting to validate trading strategies.
• Collaborate with portfolio managers on quantitative strategies.

Skills

Quantitative finance understanding

Statistical analysis

Programming in Python

Machine learning

Data analysis

Education

Bachelor's or Master's degree in Finance, Mathematics, Statistics, or Computer Science

Tools

Python

R

C++

Java

SQL

Job description

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

Remote | New York, NY, United States

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