Company:
Open Systems Technologies
Location: Jersey City
Closing Date: 04/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
A financial firm is looking for a Java Software Engineer to join their team in Jersey City, NJ.
Compensation: $155K
No 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 platforms
Work 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
Integrate risk and quantitative models
Simplify and automate existing manual data processes
Provide support for overnight batch jobs
Lead a team of developers
Participate in strategic discussions
Work with a team of frontend and backend engineers, product managers, and analysts
Qualifications:
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 debugging
Strong proficiency in Java, Python, REST, Microservices, Spring Boot, and API gateway
6+ 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:
Required
Strong 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
Preferred
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)
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
(phone number removed)
#LI-KS1
Compensation: $155K
No 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 platforms
Work 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
Integrate risk and quantitative models
Simplify and automate existing manual data processes
Provide support for overnight batch jobs
Lead a team of developers
Participate in strategic discussions
Work with a team of frontend and backend engineers, product managers, and analysts
Qualifications:
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 debugging
Strong proficiency in Java, Python, REST, Microservices, Spring Boot, and API gateway
6+ 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:
Required
Strong 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
Preferred
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)
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
(phone number removed)
#LI-KS1
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