at Millennium
Hedge FundsPosted 3 months ago
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Front-office role on the EQ Real-Time PL & Risk team building high-performance, latency-sensitive intraday analytics and portfolio P&L/risk platforms. You will design, prototype and implement scalable real-time solutions using KDB+/q on Linux, integrating with C/C++ and Python components. The role involves developing feed handlers, real-time and historical databases, optimization of storage/querying, and collaborating closely with trading and research teams. Strong interest in financial markets and experience with monitoring tools and networking are important.
- Compensation
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- City
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Currency: Not specified
Full Job Description
EQ Real-Time PL & Risk is a front office team responsible for the design, development and support of various technology platforms that enable our businesses to view, evaluate, hedge and trade the live position, PL and risk. We build and own the platforms that provide the entire firm with T0 unofficial and live risk and PL.
Responsibilities:
- Work with the R&D and application development teams to assist in design, prototype and implementation of next generation high-performance real time analytics solutions in the industry to scale with the business
- Assist the team in building out a market leading portfolio PL and Risk platform for latency critical processes with high visibility among trading teams as well as management teams.
- Work with different technologies to provide the state-of-the-art intraday analytics platforms used in various risk and portfolio management systems across the entire firm
- Contribute to application development and architecture of highly scalable real time platforms
Qualifications, Skills and Requirements:
- 4+ years of experience in KDB+ q application development on Linux along with good understanding of the Linux operating system.
- Experience in writing and maintaining Feed handlers, real-time and historical databases with exploring optimization opportunities in the way we store/query/process data
- Experience in working with multiple q processes interacting with each other in tandem and with routines written in C/C++/Python via IPC/WS/HTTP.
- Experience in writing clean testable code
- Basic understanding of Computer Networking
- Experience working with various monitoring tools like Datadog, ELK stack etc.
- A strong interest in financial markets and a desire to work directly with investment professionals
- Good team player with a strong willingness to participate and help others
- Drive to learn and experiment
Nice-to-have:
- Experience building large-scale real-time portfolio risk and PL engine
- Experience re-building platforms to scale horizontally with the business
- Experience with KDB+ q or interfacing C/C++ with KDB
