KDB+ Developer

MPA Recruitment; New York (NY); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Relocation assistance available

Job summary

MPA Recruitment is seeking software developers with KDB+/Q experience for a global investment management firm. The role is based in Montreal or New York with a hybrid work arrangement and relocation assistance available.

You will design and implement kdb+/q data pipelines and services, collaborating with quants and technology teams to support trading, research and back-testing workflows.

Qualifications

• Bachelor's degree in a STEM subject.
• 2-5 years development experience with kdb+/q.

Responsibilities

• Acquire a deep understanding of the data requirements of investment research teams to deliver the right solutions.
• Design, implement, test, optimize and troubleshoot kdb+/q data pipelines, frameworks and services.
• Work closely with data operations and data platform developers to improve our data platform and reduce our technical debt.
• Collaborate with and influence technologists and investment researchers to ensure our reference data services meet evolving requirements.
• Write and review technical documents, such as requirements docs for researchers, design docs to propose new platform solutions and production support runbooks.

Skills

kdb+/q

Data pipelines

Education

Bachelor's degree in STEM

Job description

Location: Montreal or New York (hybrid).

Relocation assistance available

MPA has been retained by a global investment management firm to recruiting Software Developers with KDB+/Q experience to join their Data Services team. This technology driven firm develops quantitative investment strategies to achieve high quality returns across global financial markets.

The Data Development group manages the lifecycle of data used by investment for trading, back testing and research. They work with quants and tech teams to integrate, process and serve data from vendors and public sources in the firm’s data infrastructure (alpha data and cross-asset referential data).

You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity of thought and creative solutions are valued.

Reference Data Services teams work closely with portfolio managers to design, implement, test and maintain service-oriented database architecture for research and production. They work primarily in kdb+ and own their core model of reality, normalize many datasets to that model, and expose that model through robust, redundant, scalable infrastructure with an uptime greater than 99.999% during trading hours. There is a strong operational component to the role, as they act as level 2+ support for these services during live trading.

Position Overview:

• Acquire a deep understanding of the data requirements of investment research teams to deliver the right solutions.
• Design, implement, test, optimize and troubleshoot kdb+/q data pipelines, frameworks and services.
• Work closely with data operations and data platform developers to improve our data platform and reduce our technical debt.
• Collaborate with and influence technologists and investment researchers to ensure our reference data services meet constantly evolving requirements.
• Write and review technical documents, such as requirements docs for researchers, design docs to propose new platform solutions and production support runbooks.

Required Qualifications:

• Bachelor's degree in a STEM subject.
• 2-5 years development experience with kdb+/q.

Nice to have:

• 2+ years designing, testing, optimizing and troubleshooting data intensive applications.
• Experience analyzing and organizing financial data.