KDB Quantitatve Developer

Job description
A Hedge Fund client of ours is looking to hire a quantitative developer to partner with the Senior Portfolio Manager in developing a systematic back testing, visualization/analyzing, and trading platform for global equity strategies.

Principal Responsibilities
• Collaborate with the Senior Portfolio Manager and other team members to implement and improve an efficient systematic equity back tester tool used for both simulation and live trading.
• Create visualization and analyzing tools for the input and output of the backtest
• Design and implement trading systems, ensuring reliability, scalability, and timely execution.
• Develop, optimize, and maintain software applications for larger scale equity trading.
• Work closely with infrastructure team to connect trading strategies to the firm's trading infrastructure and connectivity.
• Conduct thorough testing and debugging of software components, resolving any issues or discrepancies.
• Work with and centralizing multiple vendor data sets.
• Stay up to date with the latest developments in technology and trading practices to continuously enhance systems.
• Provide technical support and mentorship to junior developers, promoting best practices and knowledge sharing.

Preferred Technical Skills
• Expert in KDB/Q and Python
• Proficient in modern data science tools stacks (Jupyter, pandas, NumPy, sklearn) with machine learning experience
• Good understanding of using Slurm or similar parallel computing tools
• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University
• Proficient in quantitative analysis, mathematical modelling, statistics, regression, and probability theory
• Proficient in professional software development methodologies, version control systems, unit testing and debugging tools, and micro-services architecture.
• Deep understanding of financial markets, including equity markings, corporate actions, hedging.
• Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts.

Preferred Experience
• 3-5+ years of experience in algorithmic trading systems development, preferably in systematic equity trading markets
• Experience building analytic tools using KDB.
• Experience using tools, such as MOSEK, for systematic equity hedging and optimizing.
• Experience working with and centralizing multiple vendor data sets.
• Experience analyzing metrics for performance and risks for systematic equity trading.
• Experience collaborating effectively with cross functional teams, multitasking, and adapting in a fast-paced environment.

Highly Valued Relevant Attributes
• Entrepreneurial mindset
• Ability to multitask and adapt.
• Curiosity and eagerness to learn and grow professionally.
• Self-motivated, detail-oriented, and able to work independently in a fast-paced environment.