Senior Analytics Engineer

Lord, Abbett & Co. • Jersey City, NJ

298d • $160,000 - $185,000

About The Position

Lord Abbett is seeking a highly skilled and experienced Senior Analytics Engineer to join our development team and contribute to the ongoing development of our analytics platforms. You will be expected to possess deep technical expertise in our tech stack and stay abreast of the latest industry technology trends. We value team members who are driven to achieve results, maintain high quality standards, and exhibit a flexible entrepreneurial spirit in the face of scope changes. You will be joining a fast-moving team that requires the ability to work autonomously while also collaborating closely with others.

Requirements

• Bachelor's or master's degree in computer science, Engineering, Physics, Math, or related work experience.
• Highly experienced candidate with a minimum of 10 years of expertise in application design, coding, testing, maintenance, and debugging.
• Experience creating and maintaining Conceptual, Logical, and Physical data models.
• Experience in building data pipelines, designing data models, and architecting data systems from the ground up.
• Skilled in developing Python APIs and writing code for loading and processing data.
• Experience in writing complex SQL queries, stored procedures, functions, and query optimization performance tuning.
• Strong proficiency in Java, REST, Microservices, Spring Boot, and API gateway.
• Experience working with various cloud technologies, including AWS, Azure, GCP, Snowflake, Spark, and their associated tools.
• Ability to identify opportunities to reuse data and reduce redundancy across the enterprise.
• Experience with Git/GitHub.
• Experience with DevOps tools like Jira, Confluence, and CI/CD pipelines (Jenkins).
• Experience with messaging technologies such as Kafka, as well as queuing technologies and other related tools.

Nice To Haves

• Experience working in the finance industry.
• Experience with market data vendors - Bloomberg, Markit, ICE/BAML, S&P, Moodys, Fitch, Russell, Intex, JPM, Factset, State Street, CRD, and Yieldbook.
• Experience working on distributed system and handling & processing of large-scale data (trades, risk, market data etc).
• Knowledge of fixed income analytics for asset types such as corporate bonds, Treasuries, Derivatives, Sovereigns, Bank Loans, MBS, ABS, and CLO.
• Proficient in managing foundational data, including security master, entity master, and account master.

Responsibilities

• Design and develop next-generation equity and credit analytics platforms.
• Collaborate closely with business partners and analysts to understand data requirements and analyze and design the necessary data pipeline and database design.
• Design, implement and maintain data pipelines that can efficiently and reliably ingest and store data from a variety of internal and external sources.
• Develop robust quality control processing, monitoring, and workflow dashboards.
• Proficient in handling backend database work, well-versed in Python or Java, with the expertise to process and load data seamlessly into databases.
• Integrate risk and quantitative models.
• Simplify and automate existing manual data processes.
• Provide support for overnight batch jobs.
• Participate in strategic discussions.
• Work closely with a team of frontend and backend engineers, product managers, and analysts.

Benefits

• Competitive total compensation.
• Retirement plans.
• Competitive health and well-being plans.

What This Job Offers

• Career Level: Senior
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Bachelor's degree