Quantitative Developer
eMFusion Global Londres, Royaume-UniQuantitative Developer
eMFusion Global Londres, Royaume-Uni
Quantitative Developer
Quantitative Developer
Our client is a leading Tier 1 bank operating globally, renowned for its excellence in financial services and global presence. With a commitment to innovation, cutting-edge technology, and delivering superior solutions to clients, they offer unparalleled opportunities for professional growth and development.
They are currently seeking a talented and motivated Quantitative Developer to join their prestigious team. The Quantitative Developer will play a pivotal role in developing and implementing quantitative models, analytics, and trading solutions across various asset classes, contributing to the bank's success in the dynamic financial markets.
Responsibilities:
- Collaborate with quantitative analysts and traders to design, implement, and maintain quantitative models and trading strategies.
- Develop and enhance trading systems, risk management tools, and analytical platforms using advanced programming languages and technologies.
- Implement and optimise numerical algorithms and mathematical models for pricing, risk assessment, and hedging of financial products.
- Design and implement data pipelines and infrastructure for collecting, cleaning, and processing large-scale financial data sets.
- Work closely with IT and infrastructure teams to ensure the robustness, scalability, and performance of quantitative systems and platforms.
- Conduct thorough testing and validation of quantitative models and systems, ensuring accuracy, reliability, and regulatory compliance.
- Stay abreast of the latest developments in quantitative finance, computational techniques, and regulatory requirements, incorporating best practices and industry standards into development processes.
- Provide technical support and expertise to quantitative analysts, traders, and other stakeholders, assisting with troubleshooting, system integration, and performance tuning.
Key Skills & Technical Skills Required:
- Bachelor's or master's degree in computer science, mathematics, engineering, finance, or a related field.
- Strong programming skills in languages such as Python, C++, Java, or Scala, with experience in software development and engineering best practices.
- Knowledge of financial markets, products, and trading practices, with a keen interest in quantitative finance and algorithmic trading.
- Familiarity with quantitative modelling techniques, numerical methods, and statistical analysis.
- Experience with database systems, distributed computing, and cloud technologies for managing and processing large-scale data sets.
- Excellent problem-solving skills and attention to detail, with a passion for delivering high-quality solutions in a fast-paced and dynamic environment.
- Effective communication skills, with the ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Ability to work independently and proactively, as well as collaboratively within a team, to achieve project objectives and meet deadlines.
Required Experience
- Previous experience in quantitative development, algorithmic trading, or financial software development within a Tier 1 bank or financial institution.
- Knowledge of financial derivatives pricing models, risk management techniques, and regulatory frameworks.
- Experience with high-performance computing, parallel programming, and GPU acceleration.
- Familiarity with machine learning techniques and libraries for quantitative analysis and predictive modelling.
- Understanding of agile development methodologies and continuous integration/continuous deployment (CI/CD) practices.
Benefits:
- Competitive salary and performance-based bonus
- Comprehensive benefits package, including health insurance, pension plan, and employee discounts
- Opportunities for professional development and training
- Dynamic and collaborative work environment with opportunities for career advancement
- Access to cutting-edge technology and resources to support innovation and growth
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