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Asset Reference Data Analyst (Entry Level)
- United States
- United States
À propos
Bachelor's Degree – REQUIRED Fresh graduates are welcome Work Model: 5 days onsite Interview Process: 2 rounds (1 in-person required)
Job Summary The Asset Reference Data Analyst will be part of the Instrument Reference Data Operations team, responsible for delivering high-quality securities reference data across multiple lines of business. This team operates as a center of excellence, sourcing, validating, and distributing instrument data used in trading, risk management, fund valuation, settlement, and regulatory reporting. Key Responsibilities
Perform daily validation of reference data within internal systems Source, validate, and maintain instrument and pricing data Work with external data vendors (e.g., Bloomberg, Reuters) and internal tech teams Resolve data discrepancies and client queries in a timely manner Ensure accuracy and timely delivery of financial data Participate in process improvements and automation initiatives (AI/tools) Support monthly deliverables and reporting deadlines Collaborate with stakeholders across operations, technology, and business teams Escalate issues appropriately and maintain strong documentation
Required Skills & Qualifications
Bachelor's degree (MANDATORY) – Finance, Accounting, Economics, Math, CS, Engineering preferred Strong understanding or interest in financial markets / fixed income / securities Proficiency in MS Excel (pivot tables, VLOOKUPs) Excellent analytical and problem-solving skills Strong communication and interpersonal skills Ability to work under pressure and meet deadlines Detail-oriented with strong organizational skills Ability to multi-task in a fast-paced environment
Preferred Qualifications
Exposure to Fixed Income, Pricing, Fund Valuation, or Market Data Knowledge of corporate actions, index benchmarking, and financial instruments Familiarity with Bloomberg / Reuters Exposure to AI / ML tools (Alteryx, Tableau, etc.)
Top Skills
Team player mindset Financial acumen Flexibility and adaptability Fast learner with proactive approach
Red Flags
Frequent job hopping Lack of flexibility or adaptability
Ideal Candidate Profile
Entry-level finance graduate with strong analytical mindset Comfortable working in data-heavy, operations environment Interested in financial markets and data analytics
Compétences linguistiques
- English
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