Credit Quant Developer: Front-Office Analytics & Dashboards

Tardis Group; New York (NY); On-site; USD 180,000 - 300,000; Full time

Job summary

Credit Quant Developer role in New York at Tardis Group, joining a fast-paced technology team supporting a credit investment business. You will build tools and infrastructure enabling portfolio managers and traders to make informed decisions across global credit markets.

You will develop research platforms, risk, P&L attribution frameworks, and dashboards, while automating workflows and delivering robust software for front-office users. Strong Python, SQL and data-driven practices are essential.

Qualifications

• 3+ years of professional software development experience.
• Strong Python development skills with production-grade code experience.
• Experience working with credit products or fixed income markets.
• Strong understanding of software engineering best practices and data-driven development.
• Degree in Computer Science, Software Engineering or a related discipline; Master's in Quantitative Finance or Financial Engineering advantageous.

Responsibilities

• Building and enhancing research and analytics platforms.
• Developing risk, P&L and attribution frameworks.
• Creating dashboards and reporting tools for investment teams.
• Automating operational workflows and improving trading infrastructure.
• Delivering robust, production-quality software used by front office teams.

Skills

Credit markets

Python

SQL

Data-driven

P&L attribution

Software engineering best practices

Education

Master's in Quant Finance

CS/SE degree

Tools

Python

SQL

Dash

Matplotlib

KDB

Databricks

Kafka

SQL Server

Grafana

Excel

Job description

Credit Quant Developer role in New York at Tardis Group, joining a fast-paced technology team supporting a credit investment business. You will build tools and infrastructure enabling portfolio managers and traders to make informed decisions across global credit markets.

You will develop research platforms, risk, P&L attribution frameworks, and dashboards, while automating workflows and delivering robust software for front-office users. Strong Python, SQL and data-driven practices are essential.