Remote Senior Quantitative Analyst

Placements24; Durban; Hybrid; ZAR 2,487,000 - 3,814,000; Full time

Benefits offered by this job

Performance-based bonuses

Remote work stipend

Health, dental, and vision insurance

Job summary

Placements24 is seeking a Senior Quantitative Analyst to join their team on a fully remote basis. You'll design trading algorithms, build models, and analyze data to drive investment decisions.

The role requires advanced degrees and 7+ years in quantitative analysis, with strong Python/C++/R skills and expertise in time-series and derivatives. You will collaborate with traders and PMs, backtest strategies, and stay abreast of new techniques, enjoying flexible hours and a remote-friendly

Qualifications

• Advanced degree in a quantitative field required.
• At least 7 years of relevant experience.
• Strong programming in Python, C++, or R with numerical libraries.
• Experience with derivatives and risk management is a plus.

Responsibilities

• Design, develop, test, and implement quantitative trading algorithms.
• Build and maintain statistical and ML models for market prediction.
• Analyze large datasets to identify trading opportunities.
• Collaborate with portfolio managers to integrate insights.
• Backtest and evaluate performance of models.
• Stay updated on latest quantitative finance and data science.

Skills

Python

C++

R

Time-series modeling

Machine learning

Quantitative finance

Remote collaboration

Education

Master's or PhD in Mathematics/Statistics/Physics/CS

Tools

NumPy

Pandas

SciPy

ML libraries

Job description

About the Role

Our client is seeking a highly skilled and experienced Senior Quantitative Analyst to join their pioneering team, operating in a fully remote capacity. This critical role focuses on developing and implementing sophisticated mathematical and statistical models to drive trading strategies, risk management, and investment decisions. You will leverage advanced programming techniques and a deep understanding of financial markets to create innovative solutions that provide a competitive edge. The ideal candidate is a proactive problem-solver, adept at working independently, and passionate about applying quantitative methods to solve complex financial challenges from anywhere.

Key Responsibilities

• Design, develop, test, and implement quantitative trading algorithms and strategies.
• Build and maintain sophisticated statistical and machine learning models for market prediction and risk assessment.
• Analyze large datasets to identify trading opportunities and optimize portfolio performance.
• Collaborate with portfolio managers and traders to integrate quantitative insights into investment processes.
• Conduct rigorous backtesting and performance analysis of developed models.
• Stay abreast of the latest advancements in quantitative finance, data science, and relevant technologies.

Requirements

• Advanced degree (Master's or PhD) in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
• Minimum of 7 years of experience in quantitative analysis, financial modeling, or algorithmic trading.
• Expertise in programming languages such as Python, C++, or R, with a focus on numerical libraries.
• Strong knowledge of statistical modeling, time-series analysis, machine learning, and financial derivatives.
• Proven ability to work effectively in a remote , collaborative environment.
• Excellent research capabilities and a passion for quantitative finance.

Benefits

• Highly competitive salary and performance-based bonuses, commensurate with experience.
• Generous remote work stipend for home office setup and ongoing expenses.
• Comprehensive health, dental, and vision insurance coverage.
• Opportunity to work on cutting-edge quantitative projects with significant impact.
• Flexible working hours to accommodate a global team.