Senior Data Analyst, Portfolio Manager Support

Balyasny Asset Management (BAM) is a global, multi-strategy investment Firm with over $21 billion in assets under management. We are a diversified business, with global breadth and depth. Our Firm has a clear mission: To consistently deliver uncorrelated returns in all market environments. Today, BAM employs more than 160 portfolio managers and 1,200 investment professionals across 19 offices in the U.S., Europe, the Middle East, and Asia. We are active across six investing strategies: Equities Long/Short, Equities Arbitrage, Macro, Commodities, Systematic, and Growth Equity. We also have a dedicated private investment team, BAM Elevate, and a standalone equities unit, Corbets Capital. As the Senior Data Analyst, Portfolio Manager Support, you will oversee the APAC region dedicated to empowering Portfolio Managers (PMs) and Analysts with world‑class data solutions, technical enablement, and high‑touch support. You will guide and mentor a team of Portfolio Manager Success Specialists and Data Analysts, fostering a culture of curiosity, technical mastery, and operational excellence in a fast‑paced, high‑pressure environment. You will collaborate closely with data engineers, data scientists, and content experts across BAM’s key geographic locations, as well as with senior investment professionals. Your leadership will ensure the delivery of innovative, reliable, and scalable data‑driven solutions that maximize the value of BAM’s data assets for the Front Office. Key Responsibilities Hands‑On Leadership & Team Development: Lead, coach, and mentor a team of Portfolio Manager Success Specialists and Data Analysts, providing regular feedback and fostering a culture of curiosity, technical mastery, and continuous improvement. Serve as a subject matter expert and role model by actively participating in day‑to‑day support and technical tasks. High‑Quality Support & Service Delivery: Maintain and elevate a high standard of technical and customer support for front, middle, and back‑office users across all asset classes. Manage team workload and priorities to ensure service level agreements (SLAs) are consistently met with a high degree of accountability for the entirety of each engagement, and users are delighted with their experience. Escalation & Problem Management: Act as the escalation point for complex or high‑impact user issues, driving timely resolution and root cause analysis. Orchestrate problem management for data tooling across Technology to identify trends, inform process improvements, and effect positive change for users. Cross‑Functional Collaboration: Partner closely with investment teams, technology, and product groups to ensure a seamless and responsive user experience. Advocate for user needs and regional perspectives within global forums, ensuring local requirements are addressed. Process Optimization & Knowledge Sharing: Identify opportunities to streamline workflows, automate repetitive tasks, and enhance support processes. Maintain and expand knowledge bases, training materials, and documentation to empower both users and team members. Continuous Improvement & Innovation: Stay abreast of industry trends, new technologies, and best practices in data enablement and support. Encourage the team to experiment, learn, and adopt innovative solutions that drive efficiency and user satisfaction. Qualifications & Requirements Bachelor’s or Master’s degree in Mathematics, Computer Science, Engineering, Economics, Finance, or a related field. 5+ years of professional experience in data analysis, data engineering, or data enablement, including at least 2 years in a leadership or management role. Demonstrated proficiency in technologies such as Python, SQL, AWS, Git, and Airflow, with a strong track record technical aptitude and the ability to learn new skills, tools, and platforms. Experience supporting investment professionals or working with financial data, especially time‑series data and third‑party data vendors, is preferred. Proven ability to thrive in a dynamic, high‑pressure environment that requires multitasking and frequent context switching. Strong analytical, problem‑solving, and interpersonal skills, with the ability to communicate effectively with both technical and non‑technical audiences. Passion for fostering curiosity, technical mastery, and continuous improvement within your team. #J-18808-Ljbffr