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We are seeking professionals with diverse backgrounds who can contribute to our success. If you thrive in a fast-paced, intellectually stimulating environment and desire to work with a strong team of investment professionals and industry experts, we would like to hear from you.

Responsibilities include however not limited to the following:

Position Summary:

• Combine quantitative methodologies to build optimized performance indicators and develop Fixed Income sector-specific signals

• Develop, back test, and implement statistics/machine learning models to find investment opportunities.
• Explore, capture, and evaluate alternative data to gain tradable insights.

Essential Responsibilities:

• Joining the Quant Research team to build out analytical efficiencies and solutions using quantitative methods.
• Work with the team to expand our data and quant framework. Develop tools to load, process, clean, query, analyze data, and work closely with Technology team to ensure data quality.
• Design, code, test and implement quantitative models, leveraging data science techniques, in machine/deep learning and NLP.
• Build accurate documentation for presentation and prosperity.

Requirements:

• Master's degree in mathematics, Financial Engineering, Data Science, or related program with experience in mathematical modeling and quantitative methods
• 1-3 years work experience
• A foundation in machine learning, deep learning, and NLP (LLM) modeling
• Financial/Fixed Income background is a plus

Background (Skills and Interests):

• Strong creative thinking and problem-solving skills; able to decompose sophisticated problems into manageable parts.
• Strong verbal, written, and presentation skills
• Detail oriented and with passion for excellence in all areas of work
• Strong programming skills including Python, C++, R, and SQL
• Experience and passion for Data Science - machine learning, deep learning, and NLP (LLM)
• Experience working with database, web-scraping or dealing with alternative data
• Knowledge in fixed income models and quantitative research a plus
• Experience with data visualization tools (e.g. Tableau, Power BI) a plus

Commitment to Diversity, Equity and Inclusion

Our company embraces the principles of diversity, equity and inclusion; our employees can bring the best version of themselves to work every day. We thrive in an environment where everyone's voice is heard, every idea counts, and the differences of our employees are valued. We provide reasonable accommodations to those who need them.

If you are unable to complete this application due to a disability, contact us to ask for an accommodation or an alternative application process.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.