Quantitative Researcher (Fixed Income)

About the role

Old Mission Capital, a global quantitative proprietary trading firm, is currently hiring a talented Quantitative Researcher to join our growing Fixed Income operation.

Responsibilities

• Perform exploratory data analysis on various market datasets, including bond data, exchange quote data, and third-party pricing data, generate trading signals and evaluate how they might be applied.
• Research and develop quantitative models to forecast bonds and commodities' various metrics, including price, bid-ask spread, liquidity, etc, prototype predictive models, and perform regressions and other machine learning analysis to validate, backtest, and improve quantitative models.
• Contribute to the development and continuous assessment of trade execution.

Requirements

• Qualified candidates will have an advanced degree in a quantitative field (preferably a Ph.D. in engineering, statistics, mathematics or a hard science).
• Candidates need to have exceptionally high mathematical and programming skills (must be proficient in Python, VBA, or R).
• Strong quantitative, analytical, research-oriented and problem-solving skills.
• Superior communication, both written and verbal, and has the ability to handle multiple tasks in a time-sensitive, fast-paced, collaborative, collegial environment.
• Successful candidates will have a passion for the financial markets and will have an entrepreneurial mindset as the team is growing and this individual will be a value-added contributor who will have an immediate impact.
• Demonstrated experience in US corporate bonds is required.
• Candidates must have previous experience in TCA, execution quality assessment, and execution algorithms with a focus on US Credit.
• Must have experience with credit pricing, credit curve models, and RFQ-based trading is desirable.
• Must have experience with Bayesian filtering/Hidden Markov Models is desirable.
• Intra-day credit curve modeling is a plus.

Qualifications

Qualified candidates will have an advanced degree in a quantitative field (preferably a Ph.D. in engineering, statistics, mathematics or a hard science).

Skills

• Advanced degree in a quantitative field (Ph.D. preferred)
• Exceptionally high mathematical and programming skills (Python, VBA, or R proficiency required)
• Strong quantitative, analytical, research-oriented and problem-solving skills
• Superior communication skills (written and verbal)
• Passion for the financial markets and entrepreneurial mindset
• Experience in US corporate bonds
• Experience in TCA, execution quality assessment, and execution algorithms with a focus on US Credit
• Experience with credit pricing, credit curve models, and RFQ-based trading
• Experience with Bayesian filtering/Hidden Markov Models
• Intra-day credit curve modeling experience (plus)

Benefits and Perks

• Fully paid Medical, Dental, Vision, Disability, and Life Insurance
• Free breakfast and lunch every day on-site
• Tuition Reimbursement Program
• 401(k) with employer match
• Paid Vacation, Sick, and Parental leaves
• Commuter and Flexible Spending Program
• Base Salary Range: $175,000 - $250,000 (Salaries are based on numerous factors such as skills, experience, and education)
• Discretionary bonus and comprehensive benefits program for full-time employees