Állás részletei
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Cég neve
MSCI Kft.
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Munkavégzés helye
Budapest -
Egyéb juttatások
- Egészségpénztár
- Cafeteria
- Nyugdíjpénztár
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Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárások
- Angol középfok
- 5-10 év tapasztalat
- Főiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Daily data production and quality assurance for client-facing data products
Vendor data integration and management
Methodology implementations, historical restatements, and platform migrations
Data quality investigation including pricing errors, model performance, and analytical discrepancies
Process automation and efficiency improvements aligned with MSCI's AI transformation mandate
Cross-functional collaboration with Research, Development, and Product teams
Design and implement AI-driven automation for data production workflows including automated quality checks, anomaly detection, and exception handling
Build and maintain AI-assisted tools such as automated documentation, intelligent triage systems, and code generation aids
Define metrics to measure automation progress and efficiency improvements
Evaluate new AI technologies and identify opportunities to apply them to data operations challenges
Oversee daily data production and quality assurance across fixed income, futures, derivatives, and equity analytics
Lead projects involving methodology changes, historical data corrections, vendor transitions, and platform migrations
Troubleshoot complex data issues involving multiple vendors and data sources
Improve and automate multi-step production processes to increase reliability and reduce manual work
Work with Research, Development, and Product teams to align data operations with broader business goals
Lead initiatives to reorganize and improve how data products are structured and delivered
Represent the team in cross-functional projects and discussions with internal stakeholders and clients
Mentor team members and share knowledge about workflows, tools, and best practices
Vendor data integration and management
Methodology implementations, historical restatements, and platform migrations
Data quality investigation including pricing errors, model performance, and analytical discrepancies
Process automation and efficiency improvements aligned with MSCI's AI transformation mandate
Cross-functional collaboration with Research, Development, and Product teams
Design and implement AI-driven automation for data production workflows including automated quality checks, anomaly detection, and exception handling
Build and maintain AI-assisted tools such as automated documentation, intelligent triage systems, and code generation aids
Define metrics to measure automation progress and efficiency improvements
Evaluate new AI technologies and identify opportunities to apply them to data operations challenges
Oversee daily data production and quality assurance across fixed income, futures, derivatives, and equity analytics
Lead projects involving methodology changes, historical data corrections, vendor transitions, and platform migrations
Troubleshoot complex data issues involving multiple vendors and data sources
Improve and automate multi-step production processes to increase reliability and reduce manual work
Work with Research, Development, and Product teams to align data operations with broader business goals
Lead initiatives to reorganize and improve how data products are structured and delivered
Represent the team in cross-functional projects and discussions with internal stakeholders and clients
Mentor team members and share knowledge about workflows, tools, and best practices
Requirements
Bachelor's degree in Finance, Economics, Computer Science, Engineering, or related field or equivalent practical experience
6+ years of experience in financial data operations, market data, or quantitative analytics
Strong SQL skills
Strong Python skills
Experience working with large datasets and databases
Familiarity with multiple asset classes including fixed income, derivatives, futures, or equities
Ability to work independently and collaboratively on complex multi-team projects
Experience with or strong interest in AI tools, automation, or process improvement
Strong professional English communication skills, written and verbal
6+ years of experience in financial data operations, market data, or quantitative analytics
Strong SQL skills
Strong Python skills
Experience working with large datasets and databases
Familiarity with multiple asset classes including fixed income, derivatives, futures, or equities
Ability to work independently and collaboratively on complex multi-team projects
Experience with or strong interest in AI tools, automation, or process improvement
Strong professional English communication skills, written and verbal
Nice-to-have
Experience using generative AI tools such as Claude, ChatGPT, Copilot in a work context, CFA certification, FRM certification, Experience with Agile workflows or project management, Familiarity with market data vendors such as Bloomberg, Refinitiv, ICE, Experience with cloud platforms including Snowflake, Databricks, AWS, Azure, Track record of successfully automating workflows or improving operational processes, Interest in ESG or sustainability data
What we offer
Transparent compensation schemes and comprehensive employee benefits tailored to location
Flexible working arrangements
Advanced technology and collaborative workspaces
Global network of talented colleagues
Global Orientation program and access to Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro and tailored learning opportunities
Multi-directional career paths offering professional growth and development through new challenges, internal mobility and expanded roles
Extensive range of core benefits including voluntary pension fund contribution, life, accident and healthcare insurance package, short-term disability/sickness benefit, yearly medical screenings in private healthcare, paternity leave, glasses contribution, travel reimbursement
Cafeteria benefits including Széchenyi Recreation Card/SZÉP Card, tax free nursery/kindergarten benefit, voluntary healthcare fund contribution, voluntary pension fund contribution
Flexible working arrangements
Advanced technology and collaborative workspaces
Global network of talented colleagues
Global Orientation program and access to Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro and tailored learning opportunities
Multi-directional career paths offering professional growth and development through new challenges, internal mobility and expanded roles
Extensive range of core benefits including voluntary pension fund contribution, life, accident and healthcare insurance package, short-term disability/sickness benefit, yearly medical screenings in private healthcare, paternity leave, glasses contribution, travel reimbursement
Cafeteria benefits including Széchenyi Recreation Card/SZÉP Card, tax free nursery/kindergarten benefit, voluntary healthcare fund contribution, voluntary pension 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.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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