Lead KDB Engineer

Morgan Stanley•New York, NY

2d•$150,000 - $210,000

About The Position

The Firm Market Risk Technology Team develops software to measure and monitor Market Risk and Capital for the Firm’s global portfolio. We are responsible for designing and implementing technology solutions that calculate and assess the Market Risk of the Firm. Our systems support daily risk simulations and analytics that estimate potential losses across different time horizons. We work closely with Risk Managers, Market Risk Analytics teams, Senior management, and various regulatory bodies globally. Market Risk team constantly updates its current suite of risk management tools, frameworks and processes or builds new ones in order to meet frequently changing business and regulatory landscape. Role Overview As a Market Risk Technology Director, you will be responsible for developing and supporting a kdb+ database system that stores risk engine outputs (e.g., P&Ls), developing ingesting pipelines and providing access to data via hosted services to large volumes of data. You will play a critical role in designing and implementing scalable solutions for computing Market Risk. You will collaborate closely with Product Owners, business clients, and global teams to design, implement, enhance, and maintain key functionalities within the KDB platform using Agile development methodologies. Additionally, you will work on developing components in Q/kdb+, Python/PyKX, and developing distributed data processing solutions. This role demands a hands-on technologist who can independently drive projects, propose innovative solutions to business challenges, and ensure the stability and performance of risk technology infrastructure.

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.

Nice To Haves

Experience with Java, kdb Insights a plus.
Architectural understanding of kdb+ and distributed computing.
Exposure to big data technologies such as Apache Spark.
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

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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