Senior Quantitative Analyst — Hybrid, Growth & Impact

Placements24; East London; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Performance bonus

Medical aid

Retirement fund

Generous leave

Professional development

Hybrid work

Cutting edge tech

Collaborative environment

Job summary

Placements24 is recruiting a Senior Quantitative Analyst for a hybrid role in East London. You will develop and validate complex models, backtest strategies, and work with engineers to deploy models in production trading systems.

You will analyze market data, perform risk assessments, and present findings to senior management. Strong programming and ML knowledge are essential for success.

Qualifications

• Master's or PhD in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.

Responsibilities

• Develop and validate quantitative models for pricing derivatives and measuring market risk.
• Implement and optimize trading algorithms based on quantitative research and backtesting.
• Conduct statistical analysis and data mining on large datasets to identify trends.

Skills

Python

C++

R

NumPy

SciPy

Pandas

SQL

Education

Master's or PhD in quantitative field

Tools

Python

Job description

Senior Quantitative Analyst (Hybrid Growth)

Our client, a leading financial institution, is seeking a highly analytical and experienced Senior Quantitative Analyst to join their dynamic team in East London. This pivotal role will involve developing and implementing sophisticated financial models, conducting in-depth risk assessments, and providing crucial insights to drive strategic decision-making. The ideal candidate will possess a strong understanding of financial markets, statistical modeling, and programming languages. This is an exciting opportunity to contribute to a reputable organization and make a significant impact within the Eastern Cape financial sector.

Key Responsibilities

• Develop and validate sophisticated quantitative models for pricing complex derivatives and assessing market risk.
• Implement and optimize trading algorithms and strategies based on quantitative research and back testing.
• Conduct rigorous statistical analysis and data mining of large financial datasets to identify trends and opportunities.
• Collaborate with software engineers to integrate models into production trading systems and risk management platforms.
• Prepare detailed documentation and present findings to senior management and relevant stakeholders.
• Stay abreast of the latest advancements in quantitative finance, machine learning, and computational methods.
• Ensure compliance with regulatory requirements and internal risk policies.
• Provide analytical support for new product development and business initiatives.
• Mentor junior quantitative analysts and contribute to team knowledge sharing.
• Utilize advanced statistical and programming techniques to solve complex financial problems.

Requirements

• Master’s or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Statistics, Physics, or Computer Science.
• Minimum of 5 years of relevant experience in quantitative finance, preferably within investment banking or hedge funds.
• Proficiency in programming languages commonly used in quantitative finance, such as Python (with libraries like NumPy, SciPy, Pandas), C++, or R.
• Strong understanding of financial markets, derivatives, fixed income, and risk management principles.
• Experience with statistical modeling, time series analysis, and machine learning techniques.
• Excellent problem solving and analytical skills, with a meticulous attention to detail.
• Proven ability to work independently and manage multiple projects in a remote setting.
• Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
• Familiarity with SQL and database management.
• Demonstrated experience in model validation and back testing.

Benefits

• Competitive annual salary package.
• Performance-based bonus opportunities.
• Comprehensive medical aid and retirement fund contributions.
• Generous annual leave allowance.
• Opportunities for professional development and continuous learning.
• Hybrid work arrangement allowing for flexibility between office and remote work.
• Access to cutting edge financial technology and tools.
• A collaborative and intellectually stimulating work environment in East London.