Job Description -
Title :Data analyst
Location: remote
****Client is looking for SME - for this role. ****Heavy investment data backgroud is must ****Financial services must *****Asset management must
Knowledge in Alladin/Sentinel/Bloomberg/facesets or any financial services systems is a must.
Must be sitting in EST time zone - This is remote
Investment Data Analyst
Business Requirements Analysis and SolutioningReview and translate business requirements into clear and actionable data requirements to enable business outcomes.
Learn the future state data design and help ensure adherence to the vision through participation in detailed design and solutions engagement with program participants and business subject matter experts.
Evaluate data requirements across various investment functions and data domains (compliance, benchmarks, risk & analytics, etc) and action their delivery through the defined workflows in partnership with Market Data, Reference Data, Technology and Enterprise Architecture teams.
Connect the dots across workstreams and identify gaps and opportunities for improved business process and controls.
Interface documentation and deliveryDocument the relevant interface specifications and operating model agreements, highlighting any emerging new data requirements along the way
Develop and drive project plans for interface delivery and report progress and risks/blockers to leadership
What you need to have:
5+ years of experience in the Asset Management industry, with exposure to investment workflow and data needs.
Strong communication skills to convey data concepts and business outcomes effectively.
Experience with complex business requirements analysis and data requirements extraction.
Ability to work under pressure while maintaining a results-oriented focus.
Knowledge across the securities spectrum (asset classes, vehicle types, derivatives).
Exposure to vendors and technology implementations related to investment and data workflows.
What makes you stand out:
Proven track record of collaborating with business partners to develop innovative solutions and design ideas that address evolving business needs in investments.
Ability to synthesize diverse perspectives from business teams to achieve consensus and develop standardized solutions that meet stakeholder needs.
Strength in breaking down complex problems into component parts for analysis and solutioning.
Certifications such as CFA and CAIA.
Experience using modern data and technology tools including but not limited to AI.