Senior Quantitative Investment Tech Lead

Goldman Sachs; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Goldman Sachs is seeking an experienced professional for a role in designing and developing solutions for their GSAM Quantitative investment business. The successful candidate will lead a team, communicate with traders, and leverage strong technical skills in areas such as Core Java, C++, and big data technologies.

This role requires 5+ years of relevant experience and will involve deep collaboration with various stakeholders to ensure high performance solutions for large data sets. The firm fosters a dynamic environment focused on technology innovation.

Qualifications

• 5+ years of experience in Core Java, C++, or Perl/Python.
• Experience with Sybase or DB2.
• Familiarity with Hadoop, MongoDB, and other big data technologies.

Responsibilities

• Design and develop solutions for portfolio construction in GSAM Quantitative investment.
• Provide technical leadership and manage project plans for large-scale projects.
• Manage communication and relationships with traders and portfolio managers.

Skills

Core Java with multi-threading

C++

Perl/Python scripting

Sybase, DB2

Big data stack (Hadoop/MongoDB/ParAccel/Spark)

Strong communication skills

Job description

Goldman Sachs is seeking an experienced professional for a role in designing and developing solutions for their GSAM Quantitative investment business. The successful candidate will lead a team, communicate with traders, and leverage strong technical skills in areas such as Core Java, C++, and big data technologies.

This role requires 5+ years of relevant experience and will involve deep collaboration with various stakeholders to ensure high performance solutions for large data sets. The firm fosters a dynamic environment focused on technology innovation.