Fixed Income Assoc. Director - Quant

U.S. Bank • Charlotte, NC

10d

About The Position

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description Role Overview We are seeking a Front Office Data Scientist/Developer to support our Credit Trading business, with a focus on electronic trading, client flow, and automated pricing. This role sits directly on the Credit trading desk, working closely with Traders, Sales, and Electronic Trading teams to develop quantitative models and analytics that enhance pricing, execution quality, risk management, and liquidity provision. The ideal candidate combines a strong financial engineering background, deep understanding of credit products and bond mathematics, and hands-on programming expertise to build models that operate in high‑throughput, real‑time trading environments.

Requirements

• Master’s or PhD in Financial Engineering, Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field
• 5-7 years of relevant experience
• Strong understanding of Credit markets and bond mathematics, including: Corporate bonds, IG and HY markets Z‑spreads, OAS, duration, convexity, DV01 Discounting, curve construction, and term structures
• Hands-on programming experience in Python and/or C++, applied to: Pricing and analytics libraries Back‑testing and simulation frameworks Performance‑sensitive, production trading systems
• Demonstrated experience with: Model calibration, optimization, and validation Quantitative analysis of market and trade data
• Solid foundation in probability, statistics, numerical methods, and time‑series analysis

Nice To Haves

• Prior experience supporting a sell‑side Credit trading desk
• Strong familiarity with electronic credit trading protocols, such as: RFQ and streaming markets Client quote distribution and scorecards
• Experience with execution analytics, transaction cost analysis (TCA), or liquidity modeling in credit
• Knowledge of pricing engines, curve frameworks, and risk systems used in front‑office environments
• Experience with cloud platforms (AWS, Azure, or GCP)
• Exposure to MLOps practices, including: Model versioning and governance Automated deployment and monitoring
• Understanding of market microstructure and liquidity dynamics in less‑liquid asset classes
• Commercial mindset with clear awareness of desk P&L, risk limits, and client expectations
• Ability to operate under real‑time market conditions and time pressure
• Comfortable engaging directly with Traders and Sales on trading floor priorities
• Strong communication skills, able to explain quantitative concepts succinctly to non‑quants
• High ownership, accountability, and attention to detail

Responsibilities

• Partner directly with Credit Traders and Sales to support: Electronic market making Automated pricing and quote generation
• Design, implement, and maintain quantitative models for: Corporate bond and credit curve pricing Spread, relative value analytics Inventory management and hedging strategies
• Develop and maintain back‑testing and simulation frameworks for credit trading strategies, pricing models, and execution logic
• Analyze large volumes of electronic trading data, including client RFQ flow, hit ratios, quote competitiveness, and liquidity metrics
• Optimize models for latency‑sensitive and production trading systems
• Translate research prototypes into robust, production‑ready tools embedded in electronic trading and risk platforms
• Monitor and recalibrate models based on: Market regime changes Liquidity conditions Client behavior and flow dynamics
• Collaborate with technology, quants, and risk partners to ensure scalability, resiliency, and regulatory alignment

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees