Murex Data Management Business Analyst

Treliant LLC•New York, NY

3d•$60 - $90•Hybrid

About The Position

Treliant is seeking Murex Data Management Business Analysts to join a multi-person team supporting an investment banking client on a hybrid, long-term engagement in the NYC metro area. Treliant is an essential consulting firm serving banks, mortgage originators and servicers, fintechs, and other companies providing financial services globally. They are led by practitioners from the industry and the regulatory community who bring deep domain knowledge to help clients drive business change and address the most pressing compliance, regulatory, and operational challenges. Treliant provides data-driven, technology-enabled consulting, implementation, staffing, and managed services solutions to the regulatory compliance, risk, credit, financial crimes, and capital markets functions of their clients. Founded in 2005, Treliant is headquartered in Washington, DC, with offices across the United States, Europe, and Asia. Treliant is committed to fostering a diverse, equitable and inclusive environment.

Requirements

Strong educational background – Degree (Masters would be an advantage).
2+ years experience in a similar role for an investment bank / financial institution.
Strong Business Analyst skillset.
Capital Markets product knowledge, such as FI, EQ, Comm, FX.
Murex experience and knowledge.
Technical mindset, with experience in any of the following - SQL, Python, NoSQL databases, Java, Big Data tools.
Excellent communication skills across all levels of seniority.
Strong interpersonal skills, with good relationship building and engagement skills.
Proficiency in Microsoft Office suite, particularly Excel, Word and PowerPoint.
Must be able to work in the United States without requiring sponsorship.

Responsibilities

Conducting business analysis and quality assurance to clarify business requirements, business logic, and field definitions.
Ensuring data integrity, performing automated reconciliation validation, and validating data sources.
Developing process flows and documenting business requirements and functional specifications.
Running SQL queries to select and compare datasets for analysis.
Collaborating with technology teams to define data integrity checks and ensure accurate implementation.
Supporting business stakeholders with use case confirmation, testing, and migration plans, as well as UAT and system testing.
Assisting in data migration to Snowflake, working closely with both business and tech teams to remediate issues.