Data Analytics & Reporting Developer - Credit Trading, Credit Hedge Fund, New York

Overview

On Site
Full Time

Skills

Data Analysis
Trading
Business Analysis
Quantitative Analysis
Analytics
Reporting
Decision-making
Front Office
Risk Management
Collaboration
Offshore Development
Build Tools
Management
Data Flow
Dashboard
Computer Science
Finance
Investment Management
Data Modeling
Data Warehouse
Cloud Computing
Microsoft Azure
Snow Flake Schema

Job Details

New York | Public Credit Strategies

My client is a global credit hedge fund based in New York that is looking for a talented Data Analytics & Reporting Developer to join their high-performing team and deliver innovative solutions that power their credit trading business in New York.

This role offers the chance to work directly with Portfolio Managers, Traders, Risk Management and Senior Management, making a visible impact across the firm.

If you thrive in fast-paced environments, enjoy solving complex data challenges, and want to work at the intersection of technology and trading, this is an opportunity to own projects end-to-end and shape how mission-critical information is delivered to decision-makers.

Responsibilities:
  • Own the full lifecycle of enterprise-grade data delivery applications, from business analysis and architecture to development and deployment.
  • Partner with internal developers and application vendors to design, build, and integrate sophisticated analytics and reporting solutions.
  • Enhance and expand data delivery systems used by Portfolio Managers and Quant Analysts.
  • Drive projects that deliver analytics and reporting for:
  • Senior Management decision-making
  • Front Office Portfolio Managers
  • Risk Management
  • Lead and collaborate offshore development teams to deliver on business goals.
  • Build tools to manage, monitor, and enrich data flows, while innovating dashboard capabilities to make insights more accessible.

Requirements:
  • Proven track record of academic and professional excellence.
  • Bachelor's degree in Computer Science
  • 7+ years of relevant experience in the financial industry, preferably within investment management
  • Strong background in data modeling and data warehousing.
  • Familiarity with cloud-based data platforms; experience with Microsoft Azure Synapse, Azure Data Factory, and Snowflake.
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