Fixed Income Assoc. Director - Quant

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Job Description

Role Overview

We are seeking a Front Office Data Scientist/ Quantitative 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.

Key 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

Required Qualifications

• 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

Preferred / Nice-to-Have Skills

• 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

Front Office Skills & Attributes

• 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 quanti