NumPy Jobs in Sofia.
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About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
* As at 31 December 2025
The Team
This is an outstanding opportunity to join one of the largest alternative asset managers. Technology is central to Man’s business strategy, and we are constantly evolving to stay ahead. Our culture embraces change and innovation, with engineering at the heart of our operating platform.
We are looking for a skilled C# Engineer to work within one of our Risk Engineering teams. You will work alongside Investment Risk Managers and other Engineers to deliver solutions that enable daily risk analysis and the continuous improvement of the Man Risk Platform. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.
A great chance to collaborate, and learn alongside, highly skilled engineers whilst building up core investment risk and data engineering knowledge. New joiners will get the chance to work on the latest and best technologies for the challenges ahead.
Role Responsibilities
- Own the end-to-end delivery process — from understanding the problem, designing and developing a solution, and delivering value in production
- Participate in the planning, design, and delivery of longer-term projects alongside senior engineers
- Develop and maintain core tools and services for risk data onboarding, analysis, and quality management at scale
- Collaborate with Risk Officers and other Engineering teams to deliver solutions for Investment Risk across Man Group
- Participate in code reviews and knowledge sharing amongst peers
- Continuously improve production components — reducing technical debt, increasing release quality, and improving resource utilisation
- Support production systems and BAU requests, contributing to the team’s support rota
Key Competencies
Required
- Strong programming experience in C#/.NET
- Working knowledge of database technologies (e.g. SQL Server, MongoDB, ClickHouse)
- Familiarity with Linux environments and comfortable working across both Linux and Windows platforms
- Strong delivery-focused approach, ensuring business value is being met
- A proponent of collaborative software engineering practices: code review, unit testing, continuous integration, and refactoring
- Embracing agentic engineering — willingness and ability to work effectively with AI-assisted development tools as part of daily workflow
- Confident communicator — able to articulate ideas clearly and deal constructively with differing views
- A genuine willingness to learn new technologies, programming languages, and domain knowledge
Advantageous but not required
- Exposure to Python and its scientific ecosystem (numpy, pandas, scipy)
- Experience with data pipeline technologies (e.g. Kafka)
- Familiarity with containerisation (Docker, Kubernetes) and workflow orchestration (Airflow)
- Experience with DevOps tooling (CI/CD, Bitbucket, Jenkins/TeamCity)
- Prior experience with financial market data or alternative data
Benefits
- Modern office located in the OfficeX campus with free parking, easy transport access and onsite amenities
- Hybrid working model
- Generous parental leave
- Opportunities for professional development including internal tech talks and external conference attendance
Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.
Ready to apply?
Apply to Man Group
About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
* As at 31 December 2025
The Team
This is an outstanding opportunity to join one of the largest alternative asset managers. Technology is central to Man’s business strategy, and we are constantly evolving to stay ahead. Our culture embraces change and innovation, with engineering at the heart of our operating platform.
We are seeking a Senior C# Engineer to join one of our Risk Engineering teams. This is a senior individual contributor role for someone who sets multi-year technical strategy and delivers it through direct implementation and broad technical leadership across the Man Risk Platform. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.
A great chance to collaborate, and learn alongside, highly skilled engineers whilst building up core investment risk and data engineering knowledge. New joiners will get the chance to work on the latest and best technologies for the challenges ahead.
Role Responsibilities
- Set and drive multi-year technical strategy for significant areas of the Risk Engineering platform, aligning with business goals
- Lead the design and architecture of complex, cross-team systems — making decisions that minimise the cost of future change
- Deliver high-impact projects end-to-end, from architecture through to production deployment and operational excellence
- Champion the software products of the Risk Engineering team and drive technical planning and project management
- Champion engineering best practices across multiple teams, including CI/CD, automated testing, and scalable design patterns
- Conduct code reviews and provide deep technical guidance to engineers across the function
- Lead incident response and root cause analysis across systems
- Mentor and develop engineers, fostering a culture of continuous learning and technical excellence
- Contribute to the evolution of our engineering culture and platform strategy
Key Competencies
Required
- Extensive professional experience in C#/.NET with a track record of delivering complex, cross-team technical projects
- Deep understanding of system architecture and distributed systems design
- Proven experience shaping technical strategy — making sound technical choices in ambiguous situations and driving alignment across teams
- Strong knowledge of database technologies (SQL Server, ClickHouse, MongoDB) including schema design, query optimisation, and performance tuning at scale
- Experience with data pipeline technologies (e.g. Kafka) in production environments
- Embracing agentic engineering — ability to leverage AI-assisted development tools to accelerate delivery and drive adoption across the team
- Excellent communication and leadership skills, with the ability to influence and drive consensus
- Passion for mentoring and developing engineering talent
- Strong advocate for collaborative development practices and continuous improvement
Advantageous but not required
- Experience with Python and its scientific ecosystem (numpy, pandas, scipy)
- Familiarity with containerisation (Docker, Kubernetes) and workflow orchestration (Airflow)
- Experience with large-scale data platforms and data engineering at multi-terabyte scale
- Familiarity with financial market data, risk management, or quantitative systems development
- Track record of contributing to engineering culture — tech talks, open-source, or conference presentations
Benefits
- Modern office located in the OfficeX campus with easy access to transport and amenities.
- Hybrid working model
- Competitive compensation package
- 25 days holiday allowance
- Premium Health insurance
- Employee Assistance program
- Referral Bonus
- Additional days off for long service and volunteering
- Multisport card
- Opportunities for professional development including internal tech talks
- Conference attendance, and engagement with the open-source community.
Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.
Ready to apply?
Apply to Man Group
About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
* As at 31 December 2025
The Role
We’re seeking Senior Python Engineers to join various teams across our technology organisation, working on diverse challenges spanning systematic trading, quantitative research, a petabyte-scale data platform, and AI solutions.
The role offers the opportunity to collaborate with and learn alongside highly skilled engineers whilst developing core technical and financial services knowledge. You will work with cutting-edge technologies and systems that power critical areas of Man Group’s business.
Role Responsibilities
- Design and maintain scalable backend systems and APIs that support quantitative research and trading infrastructure
- Develop distributed compute applications, optmise performance, and implement monitoring and observability tooling to ensure system reliability
- Build high-performance data pipelines for processing large-scale financial datasets using timeseries, SQL, and NoSQL databases
- Partner with engineers, researchers, and platform teams to translate complex requirements into technical solutions that integrate with Man Group’s technology estate
- Participate in production support rotations and contribute to architecture decisions, code reviews, and engineering best practices across the team
Our Technology
You’ll work in a modern, Linux-based infrastructure where Python is the primary development language, utilising the full scientific stack including pandas, numpy, scipy, and scikit-learn. A key component of our data infrastructure is ArcticDB (https://arcticdb.io/), our internally developed DataFrame database that you’ll use extensively. We maintain a dynamic technology landscape, continuously evaluating and adopting new tools and libraries that enhance our capabilities. man.com/technology
Key Competencies
Essential
- Minimum 3 years professional software development experience, primarily using Python
- Strong academic record with coursework focused on mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Science
- Experience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deployment
- Proficient on Linux platforms and strong understanding of Git
- Strong knowledge of one or more relevant database technologies e.g. MS SQL, Postgres, or MongoDB
- Demonstrated experience working with large data sets, both structured and unstructured
- Ability to work independently and gather requirements from stakeholders
Nice to Have
- Deep understanding of the Python scientific stack (pandas, numpy, scipy, scikit-learn)
- Familiarity with distributed systems and orchestration
- Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing
- Contributions to open-source projects
- Experience working with Large Language Models (LLMs)
- Experience mentoring junior team members and managing projects
Why Man Group?
- Work on challenging problems at the cutting edge of technology and finance
- Collaborate with world-class engineers, researchers, and investment professionals
- Receive on-the-job training to develop and succeed at the firm
- Entrepreneurial, innovation-driven culture
- Small, agile teams with high autonomy
- Opportunity to make a real impact on investment strategies managing billions in assets
Benefits
- Modern office located in the OfficeX campus with free parking, easy transport access and onsite amenities
- Hybrid working model
- Generous parental leave
- Opportunities for professional development including internal tech talks and external conference attendance
Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.
Ready to apply?
Apply to Man Group
About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
* As at 31 December 2025
The Role
We’re seeking Python Engineers to join various teams across our technology organisation, working on diverse challenges spanning systematic trading, quantitative research, a petabyte-scale data platform, and AI solutions.
The role offers the opportunity to collaborate with and learn alongside highly skilled engineers whilst developing core technical and financial services knowledge. You will work with cutting-edge technologies and systems that power critical areas of Man Group’s business.
Role Responsibilities
- Design and maintain scalable backend systems and APIs that support quantitative research and trading infrastructure
- Develop distributed compute applications, optmise performance, and implement monitoring and observability tooling to ensure system reliability
- Build high-performance data pipelines for processing large-scale financial datasets using timeseries, SQL, and NoSQL databases
- Partner with engineers, researchers, and platform teams to translate complex requirements into technical solutions that integrate with Man Group’s technology estate
- Participate in production support rotations and contribute to architecture decisions, code reviews, and engineering best practices across the team
Our Technology
You’ll work in a modern, Linux-based infrastructure where Python is the primary development language, utilising the full scientific stack including pandas, numpy, scipy, and scikit-learn. A key component of our data infrastructure is ArcticDB (https://arcticdb.io/), our internally developed DataFrame database that you’ll use extensively. We maintain a dynamic technology landscape, continuously evaluating and adopting new tools and libraries that enhance our capabilities. man.com/technology
Key Competencies
Essential
- Minimum 3 years professional software development experience, primarily using Python
- Strong academic record with coursework focused on mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Science
- Experience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deployment
- Proficient on Linux platforms and strong understanding of Git
- Strong knowledge of one or more relevant database technologies e.g. MS SQL, Postgres, or MongoDB
- Demonstrated experience working with large data sets, both structured and unstructured
- Ability to work independently and gather requirements from stakeholders
Nice to Have
- Deep understanding of the Python scientific stack (pandas, numpy, scipy, scikit-learn)
- Familiarity with distributed systems and orchestration
- Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing
- Contributions to open-source projects
- Experience working with Large Language Models (LLMs)
- Experience mentoring junior team members and managing projects
Why Man Group?
- Work on challenging problems at the cutting edge of technology and finance
- Collaborate with world-class engineers, researchers, and investment professionals
- Receive on-the-job training to develop and succeed at the firm
- Entrepreneurial, innovation-driven culture
- Small, agile teams with high autonomy
- Opportunity to make a real impact on investment strategies managing billions in assets
Benefits
- Modern office located in the OfficeX campus with free parking, easy transport access and onsite amenities
- Hybrid working model
- Generous parental leave
- Opportunities for professional development including internal tech talks and external conference attendance
Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.
Ready to apply?
Apply to Man Group
Why us?
Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022, and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.
Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.
- Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product
- Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement
- Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration
- Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation
- Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies
- 4+ years of relevant experience
- Experience building and using machine learning models with clear and measurable business impact
- Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL
- Comfortable working in production-oriented codebases, including using Git for version control
- An interactive and collaborative approach to delivering ML-powered data products
- Quick learning ability and a drive well-suited to a fast-paced startup environment
- Experience clarifying ambiguous business problems and translating them into effective ML solutions
- Curiosity about data, distributions, and outliers, with a strong interest in using data to propose and validate causes and effects
- Strong quantitative and programming skills paired with a product-driven sensibility
- Graduate degree in a technical or quantitative discipline
- Fluent in spoken and written English and Bulgarian
Benefits
- Employee stock options
- 25 days annual leave
- Enhanced private medical, dental, and vision insurance plans
- Yearly wellbeing budget or Multisport card
- Personal budget for learning and books
- Employee Assistance Program and other wellbeing perks
- Office kitchen and fun area with snacks and beverages
- Regular social events
- Friendly office culture
- Hybrid office
Ready to apply?
Apply to Insurify
Why us?
Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022, and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.
Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.
- Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product
- Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement
- Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration
- Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation
- Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies
- 4+ years of relevant experience
- Experience building and using machine learning models with clear and measurable business impact
- Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL
- Comfortable working in production-oriented codebases, including using Git for version control
- An interactive and collaborative approach to delivering ML-powered data products
- Quick learning ability and a drive well-suited to a fast-paced startup environment
- Experience clarifying ambiguous business problems and translating them into effective ML solutions
- Curiosity about data, distributions, and outliers, with a strong interest in using data to propose and validate causes and effects
- Strong quantitative and programming skills paired with a product-driven sensibility
- Graduate degree in a technical or quantitative discipline
- Fluent in spoken and written English and Bulgarian
Benefits
- Employee stock options
- 25 days annual leave
- Enhanced private medical, dental, and vision insurance plans
- Yearly wellbeing budget or Multisport card
- Personal budget for learning and books
- Employee Assistance Program and other wellbeing perks
- Office kitchen and fun area with snacks and beverages
- Regular social events
- Friendly office culture
- Hybrid office
Ready to apply?
Apply to Insurify
Why us?
Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.
Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.
How you will make an impact
- Partner closely with the Marketing team to assist in the development of more sophisticated bidding and targeting methodologies across Paid Search, Retargeting, and Email campaigns
- Develop models and algorithms to personalise the ranking of results in the product
- Identify opportunities, propose experiments and develop models to improve customer conversions
What you need to succeed
- 4+ years of relevant experience
- Experience with building and using machine learning models with clear business impact
- Strong skills and experience in Python (numpy, pandas, sklearn, etc) and SQL
- Quick learning ability and a drive suitable for the startup hustle
- As an early member of a small team, emphasise on interactive approach to delivering data products
- Experience with clarifying a business problem, identify and implement good solution
- Curiosity about data, outliers, using data to propose and confirm causes and effects
- Strong quantitative and programming skills with a product-driven sensibility
- Graduate Degree in technical/quantitative disciplines
- Fluent spoken and written use of English language
Benefits
- 25 days annual leave
- Enhanced private medical, dental and vision insurance plans
- Yearly wellbeing budget or Multisport card
- Personal budget for learning and books
- Office kitchen and fun area with snacks and beverages
- Regular social events
- Friendly office culture
- Hybrid office
Ready to apply?
Apply to Insurify