Lead KDB Engineer

Morgan Stanley•New York, NY

207d•$150,000 - $210,000

About The Position

Design, develop, and maintain kdb+ databases and risk engine components. Develop solutions in Q/kdb+, Python/PyKX to enhance market risk data processing. Implement scalable and high-performance computing solutions for market risk analytics. Collaborate with cross-functional teams and global counterparts to deliver high-quality solutions. Optimize risk data processing pipelines to improve efficiency and response time. Ensure compliance with regulatory requirements for market risk technology. Work in an Agile development environment, ensuring timely and efficient product delivery. Provide technical leadership and mentorship to junior developers in the squad. Troubleshoot and resolve performance issues within KDB+ and risk analytics platforms. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Requirements

Hands-on experience with kdb+/Q.
Proficiency in Python and PyKX for data analytics and processing.
Experience in designing and building large-scale business-critical systems.
Strong fundamentals in data structures and algorithms.
Ability to understand market risk domain and its data and implement efficient data solutions.
Strong problem-solving and analytical thinking.
Ability to act autonomously in complex decision-making.
Capacity to develop and manage operational initiatives that align with business goals.
Good communication skills.
Architectural understanding of kdb+ and distributed computing.
Familiarity with Agile software development and DevOps best practices.
Experience with cloud technologies such as AWS, Azure, or Google Cloud Platform (GCP).
Knowledge of cloud-based data processing frameworks and containerized deployments (Docker, Kubernetes).
Experience with Financial technologies(FinTech) or background in finance

Nice To Haves

Experience with Java, kdb Insights a plus.
Exposure to big data technologies such as Apache Spark.

Responsibilities

Design, develop, and maintain kdb+ databases and risk engine components.
Develop solutions in Q/kdb+, Python/PyKX to enhance market risk data processing.
Implement scalable and high-performance computing solutions for market risk analytics.
Collaborate with cross-functional teams and global counterparts to deliver high-quality solutions.
Optimize risk data processing pipelines to improve efficiency and response time.
Ensure compliance with regulatory requirements for market risk technology.
Work in an Agile development environment, ensuring timely and efficient product delivery.
Provide technical leadership and mentorship to junior developers in the squad.
Troubleshoot and resolve performance issues within KDB+ and risk analytics platforms.

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