Senior Analytics Engineer

Open Systems Technologies

United States

United States

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About

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 Responsibilities: 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. Qualifications: 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/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. 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.

United States

Languages

English

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