Quantitative Analyst (Quant)

Placements24

Greater London

On-site

CAD 170,000 - 245,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Bonus structure
In-office East London
Medical benefits
Retirement benefits
Research opportunities

Job summary

Placements24 is seeking a highly skilled Quantitative Analyst to join its advanced analytics team in East London. The role focuses on pricing financial instruments, risk management, and developing trading strategies using large datasets and modern technology.

The ideal candidate has a strong academic background in quantitative fields and practical experience in financial modeling, with collaboration across traders and portfolio managers to implement sophisticated solutions.

Qualifications

  • Master’s or PhD in a quantitative field (Math/Statistics/Physics/CS).
  • 3–5 years of experience as a Quant in finance, derivatives or trading.
  • Proficient in Python, C++, or R and statistical software.

Responsibilities

  • Develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
  • Analyze large datasets to identify market trends and opportunities for algorithmic trading.
  • Collaborate with traders and portfolio managers to translate business needs into quantitative solutions.
  • Perform back-testing and validation of models to ensure accuracy and performance.
  • Contribute to the continuous improvement of the firm’s quantitative infrastructure and methodologies.

Skills

Python
C++
R
Statistical software

Education

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

Tools

Statistical software

Job description

About the Role

Our client is seeking a highly skilled and innovative Quantitative Analyst (Quant) to join their advanced analytics team in East London . This role involves developing complex mathematical models and algorithms to price financial instruments, manage risk, and drive trading strategies within the banking and finance domain. You will work with large datasets, cutting-edge technology, and collaborate with traders and portfolio managers to implement sophisticated quantitative solutions. The ideal candidate possesses a strong academic background in a quantitative discipline and practical experience in financial modeling.

Key Responsibilities
  • Develop, test, and implement quantitative models for pricing, risk management, and trading strategies.
  • Analyze large datasets to identify market trends and opportunities for algorithmic trading.
  • Collaborate with traders and portfolio managers to translate business needs into quantitative solutions.
  • Perform back-testing and validation of models to ensure accuracy and performance.
  • Contribute to the continuous improvement of the firm's quantitative infrastructure and methodologies.
Requirements
  • Master's or Ph.D. in Mathematics, Statistics, Physics, Computer Science, or a related quantitative field.
  • 3-5 years of experience as a Quantitative Analyst in the financial industry, with a focus on derivatives or trading.
  • Expertise in programming languages such as Python, C++, or R, and experience with statistical software.
  • Strong understanding of financial markets, derivatives pricing, and risk management techniques.
  • Excellent analytical, problem-solving, and communication skills, with the ability to explain complex concepts clearly.
Benefits
  • Highly competitive salary and significant bonus structure reflecting expertise.
  • Full-time, in-office role located in East London .
  • Comprehensive medical aid and retirement benefits.
  • Opportunities for research, publication, and professional growth.
  • A challenging and intellectually stimulating work environment at the forefront of financial innovation.
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