What are the responsibilities and job description for the Senior Quantitative Developer for Global Macro Team position at Lawson Chase Limited?
Role Overview :
We are excited to partner with a leading Hedge Fund in search of a seasoned programmer / developer to join a dynamic, newly established team focused on convertible bond and capital structure arbitrage. If you are passionate about financial systems and data-driven decision-making, this role offers the opportunity to drive impactful changes in a fast-paced environment.
Key Responsibilities :
Design and implement robust data infrastructure and trading systems that ensure efficiency and accuracy.
Develop reliable data pipelines for the ingestion, processing, and analysis of complex financial market data, including unstructured OTC data.
Create scalable and innovative trading algorithms from the ground up.
Build tools for backtesting, risk management, and performance analysis that enhance trading strategies.
Work collaboratively with team members to transform trading concepts into fully operational systems.
Establish and uphold best practices in software development, testing, and deployment to ensure high-quality deliverables.
Qualifications :
10 years of software development experience, with 7 years in financial institutions such as hedge funds or proprietary trading firms.
Advanced degree in Computer Science, Financial Engineering, or a related quantitative field is preferred.
Proven experience in architecting and building large-scale financial software systems from inception.
Strong understanding of financial markets, particularly corporate bonds, equity derivatives, and equities.
Expert proficiency in Python, with demonstrable financial application projects.
Extensive experience designing and implementing data infrastructure for financial applications.
Robust background in distributed systems and high-performance computing methodologies.
Familiarity with financial regulations and their implications for system design and implementation.
Previous experience contributing to or launching early-stage trading teams is highly desirable.
Proficiency in C , SQL, R, and Bloomberg APIs is a plus.
Experience utilizing AI / ML technologies, especially LLMs, in financial applications is preferred.
Knowledge of cloud technologies and their application in financial services would be beneficial.
A commitment to maintaining the highest ethical standards in all endeavors.
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