VP of Quantitative Risk — ML-Driven Credit & Fixed Income

Job Description

Vice President Quantitative Risk, RBC Capital Markets LLC, Jersey City, NJ:

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.

Telecommuting permitted up to 1 day per week.

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Full time employment, Monday - Friday, 40 hours per week, $ per year.

Must have a Master's degree in Statistics, Maths, Quantitative Finance, Data Science, Computer Science or a related field and 5 years of related work experience.

• Developing and validating pricing models for spread products and fixed income securities.
• Machine learning modeling in U.S. credit and municipal bond markets.
• Python and SQL for developing statistical and machine learning models.
• Quantitative desk support in fast-paced trading environments.

• Statistical analysis and econometric modeling, specifically in time series analysis and market analysis.
• Bloomberg Terminal or equivalent market data platforms.
• Data visualization tools (Tableau, Streamlit, and Grafana).

The base salary for this job is $ per year. This salary does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

RBC's compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

• Drives RBC's high performance culture
• Enables collective achievement of our strategic goals
• Generates sustainable shareholder returns and above market shareholder value

• 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)

Address:

City:

Country:

Work hours/week: 0

Employment Type: Full time

Platform: CAPITAL MARKETS

Job Type: Regular

Pay Type: Salaried

Posted Date:

Final date to receive applications:

Note: Applications will be accepted until 11:59 PM on the day prior to the Final date to receive applications date above

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities.

RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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