Quantitative Credit Research - Associate

We are seeking a highly skilled and motivated Associate to join our Credit Quantitative Research team, specifically within the Public Finance team that focuses on municipal bonds and derivatives. Municipal bonds are credit products that are similar to corporate bonds, except that there are special tax-related features and the issuers are different; example issuers of municipal bonds include local governments and municipalities. This is a unique opportunity and you will be involved in comprehensive analytics, models, and tools used in various trading activities, including Algo municipal bond market making. 

In addition to traditional quantitative methods, the team is keen to explore and integrate various AI/ML methodologies into our modeling approach. This involves a scientific exploration of innovative techniques, with a focus on developing and deploying proven results in a production setting end-to-end. You need to be a forward-thinking individual who can bridge the gap between cutting-edge research and practical application, ensuring that AI/ML models are robust, scalable, and aligned with business objectives.

As an Associate for our Quantitative Research Team, you will have the opportunity to collaborate with cross-functional teams, leveraging AI/ML to enhance our trading strategies and decision-making processes. This is an exciting role for those who appreciate how every part of the business connects well together and are eager to contribute to the evolution of our quantitative research capabilities.

 Job Responsibilities:

• Develop, enhance and support quantitative models and analytics for municipal bonds and municipal derivatives.
• Collaborate with market makers, traders, and other stakeholders to support trading activities and strategies.
• Analyze market trends and large datasets, translating them into actionable insights using various methodologies relevant to the projects.
• Design and implement tools and systems end-to-end, ensuring that models and analytics comply with industry best practices.
• Foster a deep understanding of how different parts of the business connect and contribute to the overall success of both the individual and the team.
• Drive projects with a keen eye from a quantitative research perspective, ensuring they progress in the right direction for long-term success.

Required Qualifications, Capabilities, and Skills:

• A post-graduate degree in a STEM discipline (e.g., Mathematics, Physics, Engineering, Computer Science) with hands on experience in statistical modeling.
• Minimum 1-2 years of experience in a quantitative research or related role within the financial industry.
• Knowledge of fixed-income markets and credit-related products, e.g. corporate bonds, and/or municipal bonds.
• Proficiency in working with industrial-strength large code base and working with programming languages such as Python including pandas/numpy. 
• Excellent analytical skills with a keen attention to detail and a systematic approach to problem-solving, with a willingness to explore new ideas.
• Ability to work collaboratively in a fast-paced, dynamic environment, while also demonstrating independent and critical thinking skills, as well as exceptional organizational capabilities.
• Strong communication skills to effectively convey complex concepts to non-technical stakeholders.

Preferred Qualifications, Capabilities, and Skills:

• Expertise in time series data modeling, with the ability to experiment with and apply various modeling techniques to enhance predictive accuracy and insights.
• Expertise in derivatives pricing, with focus on interest rate and credit products and models.