Hydrogen Group
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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 Referrals increase your chances of interviewing at Hydrogen Group by 2x. Get notified about new Technical Business Analyst jobs in
Denver, CO . #J-18808-Ljbffr
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 Referrals increase your chances of interviewing at Hydrogen Group by 2x. Get notified about new Technical Business Analyst jobs in
Denver, CO . #J-18808-Ljbffr