Credit Algo Quant

RBC; New York (NY); On-site; USD 85,000 - 160,000; Full time

Benefits offered by this job

Total rewards program

Flexible benefits

Stock options

World-class training

Flexible work options

Career opportunities

Job summary

RBC is seeking a Credit Algo Quant in New York to research, develop, and implement mathematical models for price and risk of corporate bonds within electronic trading.

The role requires strong numerical programming skills, experience with trading desks, and collaboration with risk controls to validate models for reporting. A post-graduate quantitative degree is essential.

Qualifications

• Post-graduate degree in a quantitative area such as mathematics, physics, finance, engineering, or computer science.
• At least 3 years of experience providing quantitative support to trading desks.
• Knowledge of corporate bond products and markets and experience with electronic trading.
• Strong numerical and analytical programming skills.
• Strong written and verbal communication skills.

Responsibilities

• Research, develop and implement mathematical models for price and risk of corporate bonds as part of electronic trading algorithms.
• Improve and existing models, tools, and operational frameworks.
• Support ad-hoc requests for quantitative tools and analysis from corporate bond electronic trading desk.
• Document products and models.
• Work closely with risk and control functions to achieve and maintain formal validation of models for official reporting.

Skills

Numerical analysis

Programming skills

Communication skills

Problem solving

Education

Post-graduate degree in quantitative field

Tools

Java

Python

Kdb+

Job description

Job Description

Credit Algo Quant

What is the opportunity?

Provision of quantitative tools, analysis, and support to the GSP algorithmic trading desks.

Development, delivery and support of advanced mathematical and data driven models for credit electronic trading.

What will you do?

• Research, develop and implement mathematical models for price and risk of corporate bonds as part of electronic trading algorithms.
• Improve and existing models, tools, and operational frameworks.
• Support ad-hoc requests for quantitative tools and analysis from corporate bond electronic trading desk.
• Document products and models.
• Work closely with risk and control functions to achieve and maintain formal validation of models for official reporting.

What do you need to succeed?

Must Have:

• Post-graduate degree in a quantitative area such as mathematics, physics, finance, engineering, or computer science.
• At least 3 years of experience providing quantitative support to trading desks.
• Knowledge of corporate bond products and markets and experience with electronic trading.
• Strong numerical and analytical programming skills.
• Strong written and verbal communication skills. The ability to approach novel problems systematically and with tenacity.

What’s it in for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business and geographies

The Expected Salary Range For The Above Position Is $85,000 - $160,000 Depending On Factors Including But Not Limited To The Candidate’s Experience, Skills, Registration Status; Market Conditions; And Business Needs. This Salary Range 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

Job Skills

Algorithmic Trading, Credit Trading, Critical Thinking, Economic Analysis, Financial Data, Financial Instruments, Investment Risk Management, Java (Programming Language), Kdb+, Python (Programming Language), Quantitative Methods, Quantitative Models

Additional Job Details

Address

BROOKFIELD PLACE FKA 3 WORLD FINANCIAL CENTER, 200 VESEY STREET:NEW YORK

City

New York

Country

United States of America

Work hours/week

40

Employment Type

Full time

Platform

CAPITAL MARKETS

Job Type

Regular

Pay Type

Salaried

Posted Date

2026-09-02

Application Deadline

2026-09-30

Note

** : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

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.