Fixed Income & Multi-Asset Data Analyst

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MSCI Kft.
Munkavégzés helye

Budapest

Egyéb juttatások
- Cafeteria
- Nyugdíjpénztár
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- ANALYTICS PYTHON SQL TESTING CLOUD AWS AZURE ACCESS AGILE PROJECT MANAGEMENT JIRA CONFLUENCE
Elvárások
- Angol középfok
- Nem kell tapasztalat
- Főiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Support Daily Data Production Workflows Across Multiple Asset Classes Including Fixed Income Curves, Futures, Derivatives, And Equity Analytics
Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics
Assist With Investigating Data Quality Issues Such As Pricing Discrepancies, Missing Data, And Analytical Outliers
Help Maintain And Improve Production Monitoring Tools, Dashboards, And Sign-Off Processes
Execute Standard Operating Procedures For Data Validation, Restatements, And Client-Facing Notifications
Identify Repetitive Or Manual Steps In Production Workflows And Propose Improvements
Write And Maintain Python And SQL Scripts To Support Data Extraction, Transformation, And Validation
Contribute To The Team’s AI Adoption Efforts By Learning To Use AI-Assisted Tools For Documentation, Triage, And Code Generation
Support The Onboarding Of New Data Checks To MSCI’s QA Platform And Assist With Testing And Validation
Work Closely With Colleagues Across Multiple Locations To Ensure Seamless Data Delivery Across Time Zones
Communicate Clearly With Senior Team Members, Research, Development, And Product Stakeholders When Issues Arise
Participate In Agile Ceremonies Including Daily Stand-Ups, Sprint Planning, And Retrospectives
Contribute To Team Documentation, Knowledge Bases, And Training Materials
Assist With Salesforce Case Resolution By Researching Client Data Inquiries And Preparing Responses For Senior Review
Support Vendor Transition Projects By Validating Replacement Data Sources And Documenting Mapping Logic

Requirements

Bachelor’s Degree In Finance, Economics, Mathematics, Computer Science, Engineering, Or A Related Field Or Equivalent Practical Experience
0–2 Years Of Professional Experience In Financial Services, Data Operations, Analytics, Or A Related Field
Foundational Proficiency In SQL And Python Or Willingness To Learn Quickly On The Job
Strong Attention To Detail And Ability To Produce Accurate, Reliable Work Under Time Pressure
Curiosity About Financial Markets And A Desire To Build Expertise Across Asset Classes
Strong Professional English Communication Skills, Written And Verbal
Ability To Work Collaboratively In A Distributed, Multi-Time-Zone Team Environment

Nice-to-have

Experience With Or Exposure To Fixed Income Instruments, Derivatives, Or Equity Analytics, Familiarity With Market Data Vendors Such As Bloomberg, Refinitiv/LSEG, Or ICE, Experience Using Generative AI Tools In An Academic Or Work Context, Exposure To Agile Methodologies Or Project Management Tools Such As Jira, Confluence, Familiarity With Data Platforms Such As Snowflake, Databricks, Or Cloud Environments AWS, Azure, CFA Level I Candidacy Or Similar Early-Career Finance Certification, Interest In Process Automation, Data Engineering, Or AI Applications In Financial Data

What we offer

Transparent Compensation Schemes And Comprehensive Employee Benefits Tailored To Your Location
Flexible Working Arrangements, Advanced Technology, And Collaborative Workspaces
Global Orientation Program And Access To Learning Platforms Including AI Learning Center And LinkedIn Learning Pro
Multi-Directional Career Paths Offering Professional Growth And Development
Extensive Range Of Core Benefits Including Voluntary Pension Fund Contribution, Life, Accident And Healthcare Insurance, Short-Term Disability/Sickness Benefit, Yearly Medical Screenings, Paternity Leave, Glasses Contribution, Travel Reimbursement
Cafeteria Benefits Including Széchenyi Recreation Card/SZÉP Card, Tax Free Nursery/Kindergarten Benefit, Voluntary Healthcare Fund Contribution

Company info

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.