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Financial Quantitative Analyst

3 months ago

Los Angeles, United States augmentjobs Full time
Job DescriptionJob Description

Job Title: Financial Quantitative Analyst

Job Description: As a Financial Quantitative Analyst, your primary role is to apply mathematical and statistical models to financial data to develop quantitative strategies, conduct risk analysis, and support investment decisions. You will collaborate with portfolio managers, traders, and risk managers to optimize trading strategies, enhance portfolio performance, and manage financial risks effectively.

Roles and Responsibilities:

  1. Quantitative Model Development:

    • Design, develop, and implement mathematical models, algorithms, and quantitative strategies for pricing financial instruments, analyzing market trends, and predicting asset prices.
    • Utilize statistical techniques, machine learning algorithms, and econometric models to analyze large datasets and extract actionable insights.

  2. Financial Data Analysis:

    • Collect, clean, and analyze financial data, including historical market data, company financials, and economic indicators, to identify patterns and trends.
    • Conduct quantitative research and perform data-driven analysis to support investment decisions and portfolio management strategies.

  3. Risk Assessment and Management:

    • Develop risk models and methodologies to assess market risk, credit risk, and operational risk associated with financial investments and trading strategies.
    • Implement risk management techniques, hedging strategies, and stress testing frameworks to mitigate risk exposures and optimize portfolio performance.

  4. Performance Measurement and Optimization:

    • Evaluate the performance of quantitative models and trading strategies through back-testing, simulation, and performance attribution analysis.
    • Optimize trading algorithms, portfolio allocation strategies, and execution tactics to enhance profitability, minimize costs, and achieve investment objectives.

  5. Collaboration and Communication:

    • Collaborate with portfolio managers, traders, and other stakeholders to understand investment goals, develop quantitative solutions, and implement strategies.
    • Communicate quantitative analysis results, model assumptions, and recommendations effectively to support decision-making processes.

  6. Regulatory Compliance and Reporting:

    • Ensure compliance with regulatory requirements, industry standards, and internal policies related to quantitative analysis, risk management, and investment strategies.
    • Prepare quantitative reports, presentations, and documentation for regulatory filings, audits, and internal reviews.

  7. Continuous Learning and Development:

    • Stay abreast of developments in quantitative finance, financial markets, and technology trends to enhance analytical capabilities and maintain competitive advantage.
    • Pursue professional development opportunities, certifications (e.g., CFA, FRM), and training programs relevant to quantitative analysis and financial modeling.

Compensation:

  • Financial quantitative analysts typically receive a competitive base salary, supplemented by performance-based bonuses, incentives tied to investment performance, and benefits such as healthcare coverage and retirement plans.

Skills Required:

  • Quantitative Analysis: Strong mathematical and statistical skills with proficiency in quantitative modeling, data analysis, and financial simulations.
  • Programming: Experience with programming languages (e.g., Python, R, MATLAB, C++) and software tools for quantitative analysis, data manipulation, and modeling.
  • Financial Markets Knowledge: Understanding of financial instruments, asset pricing models, portfolio theory, and market microstructure.
  • Risk Management: Knowledge of risk assessment techniques, hedging strategies, and regulatory requirements in financial markets.
  • Communication: Excellent interpersonal and communication skills to collaborate effectively with multidisciplinary teams and present complex quantitative analysis in a clear and concise manner.
  • Problem-Solving: Analytical mindset with the ability to identify problems, conduct research, and develop innovative solutions using quantitative methods.

Education and Experience:

  • Typically requires a Bachelor's degree in Mathematics, Statistics, Finance, Economics, Engineering, or a related quantitative field.
  • Advanced degree (Master's or PhD) in Quantitative Finance, Financial Engineering, or a related discipline may be preferred.
  • Relevant experience in quantitative analysis, financial modeling, algorithmic trading, or risk management within the financial services industry.