Senior Analytics Engineer

A financial firm is looking for a Senior Analytics Engineer to join their team in Jersey City, NJ.

Compensation: $150-170K

US Citizens/GC Holders Only;
No visa sponsorship

5 days onsite - Candidates must be local

Domain experience preferred, finance experience required

• Design and develop next-generation equity and credit analytics platforms.
• Work 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.

• Bachelor's or master's degree in computer science, Engineering, Physics, Math, or related work experience.
• 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/Git Hub.
• Experience with Dev Ops 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.
• Must be willing to take full ownership of projects, covering discovery, analysis, technical design and implementation, testing, and deployment tasks.
• Strong communication skills; comfortable working closely with senior quantitative analysts, risk analysts and business partners.
• A strong desire to document and share work done to aid in long term support.
• Experience working in the finance industry.
• Experience with market data vendors - Bloomberg, Markit, ICE/Client, 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.