We are seeking a motivated and detail-oriented Senior Developer with a strong background in fixed income analytics and investment data systems. This hands-on role is ideal for candidates who have worked in asset management or investment technology and have a deep understanding of fixed income securities, portfolio characteristics, and benchmarks. You will play a key part in building and maintaining robust data systems that drive performance reporting, client service, and investment analytics.

Key Responsibilities

System Development & Maintenance

• Design and maintain a data warehouse supporting core investment data domains: security master, holdings, transactions, portfolios, and benchmarks.
• Transition and enhance an existing Fixed Income datastore with a focus on portfolio characteristics, performance, attribution, and benchmark comparisons.
• Develop and maintain data scripts for ingestion, transformation, and extraction processes.
• Build APIs to expose critical datasets for use across teams.

Analytics & Data Management

• Analyze and optimize data structures to support fixed income and portfolio-level analytics.
• Ensure data accuracy, consistency, and availability across enterprise platforms.
• Collaborate with stakeholders in investments, client services, and technology to support data needs.

Qualifications

Education & Experience

• Bachelor’s degree in Computer Science, Financial Engineering, Mathematics, or related field.
• 8+ years of experience developing within investment management, preferably on a front-office or central data team.
• Hands-on exposure to fixed income instruments and performance data is essential.

Technical Skills

Required:

• Advanced SQL development experience, particularly with SQL Server (T-SQL or PL/SQL).
• Strong grasp of data warehousing concepts including OLTP, OLAP, dimensions, facts, and data modeling.
• Proficient in Python scripting for data transformation and file processing tasks.

Preferred (Nice to Have):

• Experience working with Snowflake, especially scripting languages like JavaScript stored procedures or Python UDFs.
• Familiarity with Bloomberg data feeds (bulk data, reference data, pricing, analytics).
• Exposure to AWS data services such as RDS, Aurora, Glue, or Lambda.

Fixed Income Knowledge

• Solid understanding of fixed income securities (corporate, municipal, and securitized bonds) and concepts like duration, yield, credit spread, and ratings.
• Knowledge of fixed income strategies including Core, Core+, Short Duration, Investment Grade, and High Yield.
• Familiarity with portfolio performance measurement and attribution methodologies is a strong plus.

Soft Skills

• Excellent attention to detail with a commitment to data accuracy and integrity.
• Strong problem-solving abilities with a proactive mindset.
• Comfortable working across functions and communicating with both technical and non-technical stakeholders.