Technical Business Analyst (Data)

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

Job summary

A leading financial services firm is seeking a Technical Business Analyst to work in a hybrid model in Denver. The role focuses on analyzing and improving data workflows and user-developed applications, requiring strong experience in financial services and proficiency in Python and VBA. Ideal candidates will have at least 10 years of relevant experience and excellent stakeholder management skills. This position offers competitive hourly pay and exposure to innovative AI projects.

Qualifications

• 10+ years of experience in financial services, ideally in asset management, investment banking, or wealth management.
• Strong understanding of front-, middle-, and back-office investment operations.
• Demonstrated knowledge of equities, fixed income, derivatives, or fund management.
• Hands-on experience with an Order Management System.
• Working knowledge of Python, VBA, and SQL.

Responsibilities

• Conduct workshops to gather and analyse business requirements.
• Document investment data attributes and process impacts.
• Analyse user applications; identify improvement opportunities.
• Produce functional requirements documents and Jira tickets.
• Collaborate with technology teams to ensure required system changes.

Skills

Financial services experience

Knowledge of asset management

Understanding of front-, middle-, and back-office operations

Experience with Python

Experience with VBA

Excellent stakeholder management

Proficiency in Excel

Education

Bachelor's degree or equivalent

Tools

Order Management Systems (e.g., BlackRock Aladdin)

Jira

Job description

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

Overview

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 Level

• Mid‑Senior level

Employment Type

• Contract

Job Function

• Analyst and Finance

Industries

• Financial Services, Funds and Trusts, and Investment Management