Our client is seeking a Senior Quantitative Developer to join their dynamic Data and AI team. This role offers an exciting opportunity to work in partnership with the execution sales team, overseeing strategic initiatives that enhance their electronic credit trading platform.
What you'll do:
As a Senior Quantitative Developer, you will play a pivotal role in shaping the strategic direction of our client's electronic credit trading platform. You will leverage your expertise in quantitative finance, machine learning, and data science to develop advanced models and analytics that drive trading strategies. Your innovative approach will lead to the creation of proprietary algorithms that enhance market prediction accuracy. Collaborating closely with cross-functional teams, you will refine tools advancing trading capabilities while mentoring a team of quants and data scientists.
* Assist the quantitative research team in developing and implementing advanced models and analytics that influence trading strategies and decision-making processes.
* Spearheaded the development of proprietary algorithms and machine learning models that enhance market prediction accuracy and trading efficiency.
* Partner with Product, Data, and Engineering teams to craft and refine tools that advance trading capabilities.
* Lead the validation and creation of security-level analytics for corporate bonds.
* Mentor and develop a team of quants and data scientists, fostering a culture of innovation and rigorous analytical assessment.
What you bring:
The ideal candidate for this Senior Quantitative Developer role brings deep knowledge of capital markets coupled with extensive experience in a quantitatively focused role within a financial institution or technology firm. You possess an advanced degree in Physics, Computer Science, Engineering, Mathematics or Statistics and have a proven track record of leading teams and influencing cross-functional initiatives. Your ability to articulate complex quantitative concepts to non-experts will be crucial in this role. Experience with machine learning models, Google Cloud Platform, cloud data warehouses, and distributed computing frameworks would be advantageous.
* Deep knowledge and substantial experience in capital markets.
* Proven ability to lead a team, influence cross-functional initiatives, and articulate complex quantitative concepts to non-experts.
* Minimum of 10 years in a quantitatively focused role within a financial institution or technology firm.
* Advanced degree (master's or PhD) in Physics, Computer Science, Engineering, Mathematics, or Statistics.
* Experience training and deploying machine learning models is desirable.
* Familiarity with Google Cloud Platform, cloud data warehouses like Google BigQuery, dbt or other batch ETL frameworks, distributed compute frameworks like Spark, Dask would be advantageous.
What sets this company apart:
Our client is at the forefront of revolutionizing fixed-income trading with their intelligent, automated trading solutions. They foster an environment where innovation flourishes, and solutions are born from the melding of diverse ideas.