Quantitative Analyst Jobs in Hungary.
All active Quantitative Analyst roles based in Hungary.
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Senior Python Developer
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Company Overview
Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.
IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.
Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.
What will be your responsibilities within IBKR:
Technical Excellence
- Design, optimize, and extend transaction surveillance and data pipeline processes to enhance system efficiency, reliability, and scalability
- Navigate seamlessly between strategic, system-level architecture and function-level implementation details of our surveillance system, which orchestrates 150+ processes
- Optimize data architectures and databases for maximum performance and reliability
- Build developer tooling to accelerate development workflows and system monitoring
- Ensure data accuracy, security, and compliance with regulatory standards
Ownership and Cross-Functional Partnership
- Take ownership of projects and sub-systems from planning through resolution, making impactful decisions on complex technical and business-related questions
- Collaborate effectively with quantitative engineers, surveillance model developers, and Compliance stakeholders to translate complex business requirements into scalable designs and processes
- Identify project bottlenecks, risks, and limitations; calculate costs; and provide strategic insights to stakeholders
- Transform high-level surveillance concepts into production-ready processes that deliver actionable insights
Data Architecture & Stewardship
- Own and curate dozens of mission-critical datasets that drive surveillance operations
- Design, build, and automate robust data pipelines to support real-time and batch processing
- Develop advanced data quality frameworks to proactively identify issues before they impact operations
Innovation & Optimization
- Contribute to the evolution of coding standards and internal code review processes
- Drive best practices in data storage, retrieval, governance, and privacy protection
- Drive automation of processes and workflows to reduce manual effort and enhance system maintainability
Which skills are required:
- 5+ years of professional software engineering experience in Python, C++ or Java
- 3+ years of professional experience in Python as a primary language (non-scripting)
- Extensive experience in Pandas or NumPy, Polars is nice to have
- 1-3 years of professional experience with Linux operating systems
- Thorough understanding of databases and SQL
- Experience with large Python codebases
- Bachelor's or master's degree in Computer Science, or a related area
- High attention to detail
Good to Have:
- Experience with data engineering or ETL pipelines
- Knowledge of finance
- Knowledge of C++ or Java
- Masters/PhD
To be successful in this position, you will have the following:
- Self-motivated and able to handle tasks with minimal supervision.
- Superb analytical and problem-solving skills.
- Excellent collaboration and communication (Verbal and written) skills.
- Outstanding organizational and time management skills.
Company Benefits & Perks
- Discretionary annual bonus (cash and stock)
- Private healthcare insurance
- Subsidized recreational pass (AYCM XL package - 80% employer contribution)
- Daily food allowance in the office
- Monthly BKK pass
- Hybrid way of working (1 day home office/week)
- Modern office in the heart of Budapest with free amenities
- Great atmosphere with friendly and exceptional colleagues, frequent company outings.
*The benefits package will be reviewed regularly and may be subject to change.
Ready to apply?
Apply to Interactive Brokers
Test Automation Engineer
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Company Overview
Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.
IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.
Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.
About your Team:
On the Transactional Surveillance Technology team you will be testing infrastructure you build will be critical to maintaining the team's velocity and reliability in detecting market manipulation and financial crimes, directly supporting regulatory compliance and protecting millions of client accounts. The quality and reliability you ensure has real-world impact on market fairness and financial security
What will be your responsibilities within IBKR:
As a Software Development Engineer in Test and help protect market integrity at massive scale. You'll build and maintain the automated testing infrastructure that ensures reliability across systems processing 1+ billion order events daily—work that directly impacts the fairness and security of financial markets.
- Build scalable testing frameworks that enable our team to deploy confidently and maintain high system reliability
- Design comprehensive test suites covering unit, integration, and acceptance testing that catch issues before they reach production
- Collaborate with engineers and data scientists to embed quality practices throughout the development lifecycle
- Provide metrics and reporting on test coverage, quality trends, and system reliability
- Build and maintain monitoring and alerting systems for test infrastructure
- Develop data quality checks to ensure integrity across pipelines and databases
- Investigate and triage test failures, working with development teams to identify root causes and implement fixes
What required skill’s you need:
- Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field
- 3+ years of test automation experience with strong coding skills (Python required)
- Strong experience with unit testing frameworks (pytest, unittest, etc.)
- Strong communication skills with meticulous attention to detail
- Experience with version control systems (git)
Experience & Mindset:
- Solid foundation in testing methodologies and quality assurance principles
- Strong problem-solving and analytical abilities
- Self-motivated with ability to drive projects independently
Preferred Qualifications
- Experience with data quality/lineage platforms (Manta/Ataccama)\
- Background in performance/load testing tools
- API and contract testing experience
- Experience with data engineering concepts and tools
- Experience with monitoring/observability tools
Company Benefits & Perks
- Discretionary annual bonus (cash and stock)
- Private healthcare insurance
- Subsidized recreational pass (AYCM XL package - 80% employer contribution)
- Daily food allowance in the office
- Monthly BKK pass
- Hybrid way of working (2 days home office/week)
- Modern office in the heart of Budapest with free amenities
- Great atmosphere with friendly and exceptional colleagues, frequent company outings.
*The benefits package will be reviewed regularly and may be subject to change.
Ready to apply?
Apply to Interactive Brokers
Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP.
As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions.
This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.
Key Responsibilities
Develop and deliver complex machine learning and NLP solutions end-to-end.
Analyze large datasets to uncover insights, design features, and guide modeling decisions.
Build, test, and deploy ML models into production systems in partnership with engineering teams.
Work independently to create tools, frameworks, and reusable components that accelerate model development.
Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services.
Demonstrate sound judgment around risk, workload management, prioritization, and escalation.
Act as a go-to SME for your domain and contribute significantly to team commitments and delivery.
Required Qualifications
8+ years of professional experience in a software or ML engineering environment.
5+ years applying advanced statistical or machine learning techniques to real-world business problems.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience.
Proven track record of delivering ML solutions used in production.
Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
Proficiency with database query languages (QL) and experience working with large-scale datasets.
Ability to clearly communicate complex technical concepts to non-technical audiences.
Strong sense of ownership, accountability, and commitment to quality.
Preferred Qualifications
Experience with modern NLP techniques and pretrained model ecosystems.
Experience building scalable data pipelines or model-serving architectures.
Familiarity with MLOps concepts and practices.
Experience in building production-quality and scalable inf inerence systems with Python, Java, or general-purpose languages.
What Your Day-to-Day Might Look Like
Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.
Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.
Designing and engineering new features based on exploratory data analysis.
Identifying, evaluating, and adapting open-source models to solve NLP and ML tasks.
Partnering with engineers to optimize ML models for deployment and monitoring.
Ready to apply?
Apply to Cision
Cision has one of the largest media and content databases on Earth. Our data science team works on building intelligent and high-impact features driven by machine learning and NLP.
As a Staff Data Scientist, you will be part of our Machine Learning and Data Science team that build and deploy machine learning models used directly in our products. You will work on complex, high-visibility problems and collaborate closely with engineering, product, and analytics teams to turn prototypes into production-grade solutions.
This role is ideal for someone who operates with strong ownership, delivers high-quality work at pace, and acts as a subject-matter expert on key ML components or services.
Key Responsibilities
Develop and deliver complex machine learning and NLP solutions end-to-end.
Analyze large datasets to uncover insights, design features, and guide modeling decisions.
Build, test, and deploy ML models into production systems in partnership with engineering teams.
Work independently to create tools, frameworks, and reusable components that accelerate model development.
Collaborate cross-functionally with product managers, engineers, and analysts to translate prototypes into production-grade models and services.
Demonstrate sound judgment around risk, workload management, prioritization, and escalation.
Act as a go-to SME for your domain and contribute significantly to team commitments and delivery.
Required Qualifications
8+ years of professional experience in a software or ML engineering environment.
5+ years applying advanced statistical or machine learning techniques to real-world business problems.
Advanced degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Machine Learning) or equivalent practical experience.
Proven track record of delivering ML solutions used in production.
Strong proficiency with Python and ML-focused libraries such as Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
Hands-on experience with cloud-based ML workflows in GCP and/or AWS (Kubernetes, Nvidia Triton, Vertex AI, Sagemaker, and similar tools)
Proficiency with database query languages (QL) and experience working with large-scale datasets.
Ability to clearly communicate complex technical concepts to non-technical audiences.
Strong sense of ownership, accountability, and commitment to quality.
Preferred Qualifications
Experience with modern NLP techniques and pretrained model ecosystems.
Experience building scalable data pipelines or model-serving architectures.
Familiarity with MLOps concepts and practices.
Experience in building production-quality and scalable inf inerence systems with Python, Java, or general-purpose languages.
What Your Day-to-Day Might Look Like
Experimenting with various modeling techniques using GCP Vertex AI or AWS SageMaker.
Analyzing model performance and implementing strategies to improve accuracy, robustness, and reliability.
Designing and engineering new features based on exploratory data analysis.
Identifying, evaluating, and adapting open-source models to solve NLP and ML tasks.
Partnering with engineers to optimize ML models for deployment and monitoring.
Ready to apply?
Apply to Cision
Agentic Analytics Engineer
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This role is located in Budapest, Hungary — We are a hybrid work environment and are in the office 3+ days/per week.
Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.
A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage's Top Workplaces USA, and one of Built In Boston's "Best Places to Work" and "Best Midsize Places to Work."
About You
- You've built production data models and know how to turn vague business questions into clear, canonical definitions
- You use AI tooling as your primary mode of engineering and have developed a real point of view on how to deliver high-quality datasets when the technical work is done by AI
- You're comfortable engaging with stakeholders to untangle what they actually need and turning that conversation into a structured analytical approach
- You're looking for a role where agentic tools are the default, and where you can help shape how a central data team delivers the reliable signals that operational and strategic decisions depend on.
What Skills Do I Need?
- Bachelor's degree in a quantitative, technical, or business field, or equivalent working experience.
- 4+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership.
- Proficiency with agentic coding tools (e.g., Claude Code, Cursor) as your primary mode of building, testing, and documenting production data models, including shipping reusable assets that improve agentic workflows.
- Experience translating business requirements into structured analytical approaches, running workshops, and aligning stakeholders on canonical metric definitions.
- Strong data modeling skills and the ability to write performant SQL against cloud warehouses, with a strong emphasis on data quality and automated testing.
- SQL and Python proficiency for data modeling, pipeline orchestration, and API integrations using the broader data stack (dbt, Airflow, dlt, etc.).
Nice to Haves
- Experience with semantic modeling tools such as MetricFlow, Cube, or LookML
- Experience with data cataloging and metadata platforms such as DataHub or Atlan
- Familiarity with BI tools such as Tableau, Looker, or Sigma
Key Responsibilities
- Build and maintain data models and pipelines primarily using AI coding tools, with consistent best-practice patterns, clear documentation, and high-quality standards
- Build and improve agentic coding workflows to accelerate data modeling and testing, while staying in the loop on business logic, review, and company-specific edge cases
- Partner with stakeholders to surface conflicting metric definitions, run alignment workshops, and establish canonical standards across domains
- Define and enforce data quality standards across pipelines — including unit tests grounded in sample data and lineage-aware test placement — and enable domain analysts to follow the same standards
- Prototype and iterate on a semantic and context layer that makes Tulip's data accessible to both analysts and AI agents, including the documentation and instructions that let an LLM behave correctly against it
- Help the team make sensible calls about where on the risk curve to deploy AI: lower-risk for internal modeling and testing, more cautious for self-serve BI, and most cautious for anything customer-facing
Key Collaborators
- Commercial Teams
- Marketing Teams
- Product and Engineering Teams
- Operational Leadership
- Data Analytics stakeholders across departments
Working at Tulip
We know even great candidates experience imposter syndrome. Even if you don't match every requirement, applying gives you the opportunity to be considered.
We're building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:
- Direct impact on product and culture
- Private Healthcare insurance
- Company equity
- Virtual company events and happy hours
- Flexible work schedule and unlimited vacation policy
- Team Lunches in KFT Hub and office snacks
- Learning & Development benefits
- HU Eyeglass Benefit
- An inclusive, dog-friendly office with diverse and inspiring colleagues
We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.
Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.
Ready to apply?
Apply to Tulip Interfaces
Commercial Systems Admin
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This role is located in Budapest, Hungary - We are a hybrid work environment and are in the office 3+ days/per week.
Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.
A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”
About You:
You will play a crucial role in optimizing our business systems and driving operational efficiency across our business functions. You will collaborate closely with sales, marketing, post-sales, and finance teams to enhance processes and support strategic initiatives. You will be instrumental in leveraging technology to streamline operations and improve sales productivity.
What skills do I need?
- 1 - 2 years of experience in Salesforce, including any combination of configuration and development, automation building, user management.
- Expertise in AI-driven automation and middleware, specifically using tools like Zapier, n8n, or Claude Code to build cross-platform workflows and simplify complex data management.
- Strong ability to partner with business stakeholders to understand business process challenges and provide guidance on technical solutions
- Proven ability to implement technical solutions that drive business processes
- Self-motivated and curious problem-solver who remains calm under pressure, driving impact and continuous development while managing competing priorities in a high-growth SaaS environment.
- BA/BS in Business, Engineering, or other quantitative field
Key Responsibilities:
- System Administration: Provision, troubleshoot, and support our commercial stack (Salesforce, Gong, ZoomInfo, Spotlight.ai, Amplemarket, etc.). Serve as the primary point of contact for all user and system issues.
- AI & Workflow Automation: Design and maintain scalable automations using Zapier and n8n; utilize Claude Code and other AI tools to write scripts, build integrations, and automate repetitive GTM tasks.
- Process Improvement: Partner with GTM leaders to identify gaps, prioritize enhancements, and maintain a clear roadmap that drives productivity and revenue impact.
- Data & Reporting: Ensure key objects and fields are structured for reliable reporting. Build or tune Salesforce reports and dashboards for ad-hoc and recurring analytics.
- Documentation & Enablement: Create succinct user guides, process maps, and change-logs so teams know how (and why) things work. Train users on new features and best practices.Security & Compliance: Partner with IT & Security to enforce role-based access, data retention policies, and audit requirements.
- Project Leadership: Lead small-to-mid-size projects from scoping through UAT and rollout.
Key Collaborators:
- GTM Operations
- Sales
- Customer Success
- Partner / Channel Team
- Marketing
- Finance
Working At Tulip
We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered.
We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:
- Direct impact on product and culture
- Private Healthcare insurance
- Company equity
- Virtual company events and happy hours
- Flexible work schedule and unlimited vacation policy
- Team Lunches in KFT Hub and office snacks
- Learning & Development benefits
- HU Eyeglass Benefit
- An inclusive, dog-friendly office with diverse and inspiring colleagues
We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.
Ready to apply?
Apply to Tulip Interfaces