Java Software Engineer - Open Systems Technologies
Jersey City, NJ 07097
About the Job
A financial firm is looking for a Java Software Engineer to join their team in Jersey City, NJ. Compensation: $155KNo C2C - this is a full time position
Need 5 years work experience in the US on a full time basis. Responsibilities: Design and develop next-generation equity and credit analytics platformsWork with business partners and analysts to understand data requirements and analyze and design the necessary data pipeline and database designDesign, implement and maintain data pipelines that can efficiently and reliably ingest and store data from a variety of internal and external sourcesDevelop robust quality control processing, monitoring, and workflow dashboardsIntegrate risk and quantitative modelsSimplify and automate existing manual data processesProvide support for overnight batch jobsLead a team of developersParticipate in strategic discussionsWork with a team of frontend and backend engineers, product managers, and analystsQualifications: A Bachelor's or master's degree in Computer Science, Engineering, Physics, Math, or related work experience 6 years of expertise in application design, coding, testing, maintenance, and debuggingStrong proficiency in Java, Python, REST, Microservices, Spring Boot, and API gateway6 years of experience programming in SQL queries, stored procedures, query optimization performance tuning (Microsoft SQL Server, PostgreSQL or Oracle) Experience with various cloud technologies, including AWS, Azure, GCP, Snowflake, Spark, and their associated tools Experience creating and maintaining Conceptual, Logical, and Physical data models 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) Skills: RequiredStrong analytical skills Willing to take full ownership of projects, covering discovery, analysis, technical design and implementation, testing, and deployment tasks Good communication skills and be comfortable working closely with senior quantitative analysts, risk analysts and business partners Strong desire to document and share work done to aid in long term support Self-starter, a dependable partner, and team player PreferredExperience 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) Experience working in the finance industry Knowledge of fixed income analytics for asset types such as Corporate bonds, Treasuries, Derivatives, Sovereigns, Bank Loans, MBS, ABS, and CLO 24-03178#LI-KS1
Need 5 years work experience in the US on a full time basis. Responsibilities: Design and develop next-generation equity and credit analytics platformsWork with business partners and analysts to understand data requirements and analyze and design the necessary data pipeline and database designDesign, implement and maintain data pipelines that can efficiently and reliably ingest and store data from a variety of internal and external sourcesDevelop robust quality control processing, monitoring, and workflow dashboardsIntegrate risk and quantitative modelsSimplify and automate existing manual data processesProvide support for overnight batch jobsLead a team of developersParticipate in strategic discussionsWork with a team of frontend and backend engineers, product managers, and analystsQualifications: A Bachelor's or master's degree in Computer Science, Engineering, Physics, Math, or related work experience 6 years of expertise in application design, coding, testing, maintenance, and debuggingStrong proficiency in Java, Python, REST, Microservices, Spring Boot, and API gateway6 years of experience programming in SQL queries, stored procedures, query optimization performance tuning (Microsoft SQL Server, PostgreSQL or Oracle) Experience with various cloud technologies, including AWS, Azure, GCP, Snowflake, Spark, and their associated tools Experience creating and maintaining Conceptual, Logical, and Physical data models 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) Skills: RequiredStrong analytical skills Willing to take full ownership of projects, covering discovery, analysis, technical design and implementation, testing, and deployment tasks Good communication skills and be comfortable working closely with senior quantitative analysts, risk analysts and business partners Strong desire to document and share work done to aid in long term support Self-starter, a dependable partner, and team player PreferredExperience 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) Experience working in the finance industry Knowledge of fixed income analytics for asset types such as Corporate bonds, Treasuries, Derivatives, Sovereigns, Bank Loans, MBS, ABS, and CLO 24-03178#LI-KS1
Source : Open Systems Technologies