Senior Quantitative Analyst (Quant)

Placements24; Mossel Bay; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Fully remote work

Job summary

Placements24 is seeking a Senior Quantitative Analyst for a fully remote role. You will design, implement, and backtest sophisticated trading models and risk tools, applying stochastic calculus and time-series techniques to financial data.

Collaborate with traders and PMs to embed quantitative insights into decisions and improve performance. With 5+ years in finance, you will work independently in a remote setting, leveraging Python/C++/Java and big data tech to drive research, validation, and

Qualifications

• Master's or PhD in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Minimum of 5 years of experience as a Quantitative Analyst or in a similar role within the finance sector.
• Strong proficiency in programming languages like Python, C++, or Java, with experience in relevant scientific computing libraries.
• Solid understanding of stochastic calculus, time series analysis, econometrics, and statistical modeling.
• Experience with financial markets, derivatives, and trading strategies.
• Familiarity with large-scale data analysis and big data technologies is a plus.

Responsibilities

• Design, develop, and backtest complex quantitative trading strategies and models.
• Implement and optimize quantitative models using high-performance programming languages.
• Conduct rigorous statistical analysis and data mining of market data to identify trading opportunities and risks.
• Validate the accuracy and performance of quantitative models and systems.
• Collaborate with portfolio managers and traders to understand their needs and integrate quantitative insights into investment decisions.
• Perform risk analysis and stress testing on portfolios and trading strategies.
• Stay current with academic research and industry trends in quantitative finance.
• Contribute to the development and maintenance of the firm's quantitative infrastructure.
• Clearly document research findings, model methodologies, and implementation details.

Skills

Python

C++

Java

Stochastic calculus

Time series analysis

Education

Master's or PhD in quantitative field

Tools

NumPy

Pandas

SciPy

Backtesting frameworks

Job description

About the Role

Our client, a renowned quantitative investment firm, is seeking a highly skilled Senior Quantitative Analyst to join their innovative team. This is a fully remote position, allowing you to contribute your expertise from anywhere. You will be responsible for developing, implementing, and validating sophisticated mathematical models used for trading strategies, risk management, and portfolio optimization within the complex financial markets. This role requires a deep understanding of stochastic calculus, statistical modeling, programming, and a passion for applying advanced quantitative techniques to solve challenging problems in the finance industry. As a key member of our remote team, you will significantly impact our investment performance and operational efficiency.

Key Responsibilities

• Design, develop, and backtest complex quantitative trading strategies and models.
• Implement and optimize quantitative models using high-performance programming languages.
• Conduct rigorous statistical analysis and data mining of market data to identify trading opportunities and risks.
• Validate the accuracy and performance of quantitative models and systems.
• Collaborate with portfolio managers and traders to understand their needs and integrate quantitative insights into investment decisions.
• Perform risk analysis and stress testing on portfolios and trading strategies.
• Stay current with academic research and industry trends in quantitative finance.
• Contribute to the development and maintenance of the firm's quantitative infrastructure.
• Clearly document research findings, model methodologies, and implementation details.

Requirements

• Master's or Ph.D. in a quantitative discipline such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
• Minimum of 5 years of experience as a Quantitative Analyst or in a similar role within the finance sector.
• Strong proficiency in programming languages like Python, C++, or Java, with experience in relevant scientific computing libraries.
• Solid understanding of stochastic calculus, time series analysis, econometrics, and statistical modeling.
• Experience with financial markets, derivatives, and trading strategies.
• Familiarity with large-scale data analysis and big data technologies is a plus.
• Excellent analytical, problem-solving, and quantitative modeling skills.
• Strong communication and presentation abilities to articulate complex concepts to various stakeholders.
• Ability to work independently and proactively in a remote setting, demonstrating strong self-discipline and organizational skills.

Benefits

• A highly competitive salary package, with a base of R , plus significant performance-based bonuses.
• Comprehensive health insurance coverage.
• Retirement savings plan with employer matching.
• Opportunities for professional development, attending industry conferences, and further education.
• The flexibility and autonomy of a fully remote position, allowing you to work from locations such as Mossel Bay and other regions.
• Exposure to cutting-edge quantitative finance and a stimulating work environment.