Portfolio Manager Success Specialist

Balyasny Asset Management L.P.; London; On-site; GBP 45,000 - 70,000; Full time

Job summary

A global investment firm is seeking a PM Success Specialist to enhance data products and support investment teams directly in London. The ideal candidate will have experience in data analysis, strong communication skills, and a background in relevant fields, ready to engage with a dynamic team.

Qualifications

• 2-4 years in customer service or sales engineering.
• Experience with financial data preferred.
• Strong attention to detail.

Responsibilities

• Support and train investment professionals.
• Operate as point of contact for Data Intelligence products.
• Collaborate with stakeholders for solutions.

Skills

Data Analysis

Problem Solving

Communication

Education

Bachelor’s degree in Mathematics

Master’s degree in related field

Tools

Python

SQL

AWS

Git

Airflow

Job description

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Client:

Balyasny Asset Management L.P.

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

bf845dc62511

Job Views:

54

Posted:

22.06.2025

Expiry Date:

06.08.2025

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Job Description:

OVERVIEW

Working within a global team of data analysts, data scientists, and content experts within each of BAM’s key geographic locations, the PM Success Specialist will work closely with BAM Portfolio Managers and Analysts to anticipate their needs and proactively provide solutions. Responsibilities include:

• Actively support, train, and engage with investment professionals within a given business line or geographical region.
• Operate as the point of contact for the full suite of Data Intelligence products and data to give our investment professionals a competitive advantage.
• Maintain and expand BAM’s Knowledge Base and Training materials based on user feedback and your experiences supporting various workflows.
• Collaborate with and connect stakeholders across the firm to identify solutions and product enhancements.

Qualifications & Requirements:

• 2-4 years of professional experience in a customer service, implementation, or sales engineering role.
• Bachelor’s/master’s degree in Mathematics, Engineering, Economics, or a related field.
• Strong ability to perform data analysis and wrangle data using Python. Understanding of SQL and relational databases.
• Familiarity with AWS, Git, Airflow is a plus.
• Firm understanding of time-series data, third-party data vendors, and their application to quant and fundamental analysis. Prior experience with financial data is strongly preferred.
• Strong troubleshooting and creative problem-solving skills.
• High accuracy and attention to detail.
• Excellent oral and written communication skills for both technical and non-technical audiences.