Vice President Quantitative Risk, RBC Capital Markets LLC, Jersey City, NJ:
About The Position
The Vice President Quantitative Risk will be responsible for building statistical and machine learning models within the U.S. credit and municipal bond market. This role involves developing quantitative risk metrics, validating and monitoring model results, and automating trading and sales processes. The position will also focus on building trading tools, conducting backtesting and performance analysis of trading strategies, and collaborating with traders and sales teams to optimize pricing models. Additionally, the role includes maintaining and enhancing the existing quantitative research infrastructure. Telecommuting is permitted up to 1 day per week.
Requirements
- Master’s degree in Statistics, Maths, Quantitative Finance, Data Science, Computer Science or a related field.
- 5 years of related work experience.
- 5 years of experience in developing and validating pricing models for spread products and fixed income securities.
- 5 years of experience in machine learning modeling in U.S. credit and municipal bond markets.
- 5 years of experience in Python and SQL for developing statistical and machine learning models.
- 5 years of experience in quantitative desk support in fast-paced trading environments.
- 3 years of experience in statistical analysis and econometric modeling, specifically in time series analysis and market analysis.
- 3 years of experience with Bloomberg Terminal or equivalent market data platforms.
- 3 years of experience with data visualization tools (Tableau, Streamlit, and Grafana).
Nice To Haves
- Actuarial Modeling
- Big Data Management
- Commercial Acumen
- Data Mining
- Data Science
- Decision Making
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Predictive Analytics
- Python (Programming Language)
Responsibilities
- Building statistical and machine learning models in the space of U.S. credit and municipal bond market.
- Developing quantitative risk metrics.
- Validating and monitoring model results.
- Automating trading and sales process.
- Building trading tools.
- Conducting backtesting and performance analysis of trading strategies.
- Collaborating with traders and sales teams to optimize pricing models.
- Maintaining and enhancing existing quantitative research infrastructure.
Benefits
- 401(k) program with company-matching contributions
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- Paid time-off plan
- Discretionary bonus
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What This Job Offers
Job Type
Full-time
Career Level
Manager
