KDB Engineer - Equities Research Pricing Technology at MILLENNIUM CAPITAL MANAGEMENT SINGAPORE PTE LTD

Miami, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

KDB+, q, Linux, C/C++, Python, Real-Time Analytics, Feed Handlers, Data Optimization, Computer Networking, Monitoring Tools, Equities, Portfolio Management, Risk Analytics, Team Collaboration, Mentoring, Scalability

Industry

Investment Management

Description

KDB Engineer - Equities Research Pricing Technology EQ Real-Time PL & Risk is a front office team responsible for the design, development and support of various technology platforms used firmwide 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 live risk and PL. Responsibilities include: 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 Collaborate with the team to build 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 Impact application development and architecture of highly scalable real time platforms Mentor and provide guidance to junior members of the team Qualifications, Skills and Requirements 6+ 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. Basic understanding of equities, linear products, 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 Cross-asset risk analytics experience, including but not limited to options, futures, FX, rates, volatility Experience building large-scale real-time portfolio risk and pl engines Experience re-building platforms to scale horizontally with the business Experience with KDB+ q or interfacing C/C++ with KDB

Responsibilities

The KDB Engineer will work with R&D and application development teams to design and implement high-performance real-time analytics solutions. They will also collaborate to build a leading portfolio PL and Risk platform and mentor junior team members.