Technical Business Analyst (Data)

Hydrogen Group; Denver (CO); Hybrid; USD 75,768 - 82,656; Full time

Job summary

A leading recruitment firm is seeking a Technical Business Analyst to join their global Investment Data Strategy team in Denver. You will analyze and improve data workflows, collaborate with portfolio managers, and drive AI initiatives. Ideal candidates have over 10 years in financial services, with strong knowledge of investment operations and technical skills in Python and VBA. This is a hybrid role with a 12-month contract.

Qualifications

• Strong ability to write and implement business requirements and user stories.
• Excellent communication skills with stakeholders in financial services.
• Analytical, detail-oriented approach with focus on delivery.

Responsibilities

• Conduct workshops to gather business requirements.
• Identify and document investment data attributes.
• Analyse Python/VBA applications for improvement opportunities.
• Collaborate with technology teams for system changes.

Skills

10+ years of experience in financial services

Strong understanding of front-, middle-, and back-office investment operations

Demonstrated knowledge of equities, fixed income, derivatives

Hands-on experience with an Order Management System (OMS)

Working knowledge of Python

Working knowledge of VBA

Working knowledge of SQL

Excellent stakeholder management

Proficiency in Excel

Job description

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Overview

Technical Business Analyst (Data)
Location: Hybrid (3 days per week in Denver office)
Duration: 12-month contract - likely to extend to 24 months
Pay Range: $55-$60 per hour

Join a global Investment Data Strategy & Solutions team supporting front-, middle-, and back-office investment operations. The role involves working closely with portfolio managers, traders, and research analysts to analyse, document, and improve data workflows and user-developed applications.

You'll be responsible for understanding existing Python and VBA-based tools, identifying data sources, and proposing strategic solutions to standardise and de-risk processes using enterprise platforms (OMS, S&P EDM, Eagle, FactSet, etc.). This position offers exposure to cutting-edge AI initiatives, a highly collaborative international environment, and the opportunity to influence how data is leveraged across 60+ investment desks globally.

Key Responsibilities

• Conduct workshops and interviews with portfolio managers, analysts, and traders to gather and analyse business requirements.
• Identify and document investment data attributes, data lineage, and process impacts.
• Analyse Python/VBA user applications and pipelines; identify improvement opportunities.
• Produce functional requirements documents and Jira tickets outlining current and target states.
• Partner with technology teams to ensure delivery of required system changes, testing, and sign-off.
• Collaborate with central data management and architecture teams to ensure alignment across platforms.
• Create repeatable testing frameworks to validate data and process changes.
• Communicate regularly with stakeholders across business, technology, and data teams.
• Support the integration of emerging technologies, including AI-based solutions, into data workflows.

Required Skills & Experience

• 10+ years of experience in financial services, ideally within asset management, investment banking, or wealth management.
• Strong understanding of front-, middle-, and back-office investment operations.
• Demonstrated knowledge of equities, fixed income, derivatives, fund management, or client reporting.
• Hands-on experience with an Order Management System (OMS) (e.g., BlackRock Aladdin, Charles River).
• Working knowledge of Python, VBA, and SQL.
• Proven ability to write and implement business requirements, process maps, and user stories.
• Excellent stakeholder management and communication skills.
• Proficiency in Excel and process mapping tools (Visio, Lucidchart, etc.).
• Analytical, structured, and detail-oriented approach with a focus on delivery.

Preferred Skills

• 3+ years of hands-on Python, SQL, and VBA development experience.
• Prior experience creating AI utilities (e.g., multi-agent LLMs).
• Experience mentoring junior analysts or team members.
• Familiarity with S&P EDM (CADIS), Eagle, FactSet, Port, or other enterprise data tools.
• Exposure to cloud platforms (Azure, Databricks, Snowflake).
• Understanding of Agile methodologies and experience using Jira.
• CFA candidate or relevant certification preferred.

Soft Skills

• Confident communicator capable of engaging directly with front-office stakeholders.
• Assertive and able to challenge constructively when required.
• Collaborative, adaptable, and motivated by continuous improvement.

Seniority

• Mid-Senior level

Employment type

• Contract

Job function

• Analyst and Finance

Industries

• Financial Services
• Funds and Trusts
• Investment Management

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