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.

The Team

The team is currently undergoing significant investment in order to rationalise the trading capability across AHL, Numeric and the Discretionary teams.  The engineering team works exceptionally closely with both the Trading Desk and the Execution Research team in order to design, build and maintain a world-class trading capability.  We have trading floors in London, Hong Kong, Boston and New York and are responsible for trading in excess of 8 trillion dollars annually.

We are continually expanding the markets, asset classes and regions in which we trade as well as the styles in which we trade them. The team is responsible for designing imaginative and flexible software and tools to keep pace with this change.

Role Responsibilities

As a Senior Java Engineer you will be building the tools, platforms and algorithms that enable Man’s investment engines to drive forward their centralised global trading operation.

Your challenges will be varied and might involve building new execution algorithms, the platforms on which they run, simulation environments, intelligent order routing, connectivity to execution venues and brokers, tools for high touch and quant traders, monitoring capability, post-trade performance analysis and software to optimise all aspects of the trading lifecycle.

We are looking to hire talented software engineers across the experience spectrum, and previous experience with almost any asset class will be an advantage. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

Financial knowledge is not essential - we are looking for highly skilled, motivated engineers who are excellent communicators and keen to learn.

Our Technology

Our systems are almost all running on Linux and most of our code is in Java, with some Python and TypeScript.

We use Kafka as the backbone of our platform, Aeron, Git for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, Docker for containerisation, Ansible for architecture automation, and Slack for internal communication. But our technology list is never static, we constantly evaluate new tools and libraries.

Technology and Business Skills

You will be an expert software developer and ideally have an understanding of the financial markets with relevant electronic trading experience in at least one of the asset classes that we trade. You’ll be a member of a highly-focused team with an exceptionally broad responsibility, so great communication skills and an ability to work as part of a team are a must. You’ll possess a significant proportion of the following skill-set;

Key Competencies

Required

• Expert proficiency in Java.
• Database / SQL skills.
• Great communication skills coupled with the ability to work closely with both technical and non-technical colleagues.
• A proponent of strong software engineering techniques and agile methods: continuous integration, code review, unit testing, refactoring and related approaches.
• Proficient working on both Linux and Windows platforms.
• Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow

Advantageous

• An excellent understanding of financial markets and instruments.
• Experience with FIX a significant advantage.
• Experience working closely with Quants and/or Traders.
• Python knowledge.
• Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank.
• Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing.
• Experience of web based development (TypeScript).
• Relevant mathematical knowledge e.g. statistics, asset pricing, time-series analysis optimisation algorithms.
• Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow

Personal Attributes

• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
• Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
• Demonstrable passion for technology e.g. personal projects, open-source involvement
• Intellectually robust with an analytic approach to problem solving
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Focused on delivering value to the business with relentless efforts to improve process
• Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike
• Confident communicator; able to argue a point concisely and deal positively with conflicting views.

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.

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

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

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.

This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.

You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.

Key Responsibilities

• Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
• Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
• Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
• Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
• Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
• Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
• Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
• Map and improve business processes through data-driven analysis and process design

Requirements & Qualifications

• 7+ years of professional experience in data science, advanced analytics, or a quantitative field
• Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
• Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
• Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
• Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
• Excellent communication skills - you present complex technical work in a way that drives decisions
• Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
• Relentlessly curious and ambitious - you're always learning, always building, always improving
• A public GitHub profile showcasing your projects, experiments, or contributions

Nice to Have

• Experience with Next.js or modern frontend frameworks for building data-facing applications
• FastAPI experience for serving models or internal tooling
• Background in business process analysis or operational process design
• Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
• Experience with JSON-based data formats, APIs, and integration patterns
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Benefits & Culture

• Globally distributed team environment
• Remote or hybrid work options (location-dependent)
• Challenging projects with company-wide impact
• Competitive compensation, 25 days paid annual leave, plus holidays
• A culture that values curiosity, clean engineering, and people who genuinely love what they do

Location – Romania (remote)

Travel – Flexible for adhoc travel

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.

This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.

You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.

Key Responsibilities

• Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
• Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
• Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
• Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
• Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
• Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
• Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
• Map and improve business processes through data-driven analysis and process design

Requirements & Qualifications

• 7+ years of professional experience in data science, advanced analytics, or a quantitative field
• Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
• Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
• Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
• Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
• Excellent communication skills - you present complex technical work in a way that drives decisions
• Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
• Relentlessly curious and ambitious - you're always learning, always building, always improving
• A public GitHub profile showcasing your projects, experiments, or contributions

Nice to Have

• Experience with Next.js or modern frontend frameworks for building data-facing applications
• FastAPI experience for serving models or internal tooling
• Background in business process analysis or operational process design
• Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
• Experience with JSON-based data formats, APIs, and integration patterns
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Benefits & Culture

• Globally distributed team environment
• Remote or hybrid work options (location-dependent)
• Challenging projects with company-wide impact
• Competitive compensation, 25 days paid annual leave, plus holidays
• A culture that values curiosity, clean engineering, and people who genuinely love what they do

Location – India (remote)

Travel – Flexible for adhoc travel

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

About the Role

We're hiring a Senior Data Scientist with strong programming skills, a deep command of analytical methods, and the ability to turn complex data into clear business insights. You'll join a small, highly skilled team where your work has a direct impact on how the business operates and makes decisions.

This is a hands-on, high-autonomy role. You'll work across the full data stack-writing sophisticated SQL in BigQuery and MariaDB, building automation and tooling in Python, and leveraging AI-powered tools like Windsurf, Gemini, and Claude to work faster and smarter. You'll be expected to understand how data is structured end-to-end, from source systems through to the warehouse, and to know which analytical approach fits which business question.

You'll also be a key communicator-translating complex data into clear narratives for stakeholders across the organization. We need someone who can operate independently, manage their own priorities, and continuously raise the bar on what's possible with our data. If you have a genuine passion for analytics, a GitHub full of projects, and you're the kind of person who's always learning the next thing-we'd love to hear from you.

Key Responsibilities

• Apply the right analytical methods-statistical analysis, regression, clustering, forecasting, classification-to solve real business problems at scale
• Design and build end-to-end analytical solutions-from data extraction in BigQuery and MariaDB to actionable insights and automated reporting
• Develop and maintain data pipelines, analytical frameworks, and tooling using Python and SQL
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate experimentation, code generation, and analysis
• Leverage the latest AI features and tools (LLMs, embeddings, generative AI) to augment and automate analytical workflows
• Build lightweight applications and APIs (FastAPI) to put models and insights into the hands of stakeholders
• Own the data architecture decisions within your domain-schema design, data modeling, and pipeline reliability
• Communicate results, trade-offs, and recommendations clearly to both technical and business audiences
• Map and improve business processes through data-driven analysis and process design

Requirements & Qualifications

• 7+ years of professional experience in data science, advanced analytics, or a quantitative field
• Expert-level SQL - deep fluency in BigQuery and MariaDB or similar data platforms; you understand query optimization, partitioning, and data modeling
• Strong Python and/or JavaScript skills - production-quality code, not just notebooks; experience with modern data and ML libraries
• Deep understanding of analytical methods - regression, clustering, time series, A/B testing, classification; you know when to apply what and why
• Solid understanding of data architecture - how warehouses, lakes, and pipelines are designed; how to structure data for both analytical and ML workloads
• Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you leverage AI assistants as a core part of your workflow
• Excellent communication skills - you present complex technical work in a way that drives decisions
• Self-managing and self-sufficient - you set your own priorities, unblock yourself, and deliver without hand-holding
• Relentlessly curious and ambitious - you're always learning, always building, always improving
• A public GitHub profile showcasing your projects, experiments, or contributions

Nice to Have

• Experience with Next.js or modern frontend frameworks for building data-facing applications
• FastAPI experience for serving models or internal tooling
• Background in business process analysis or operational process design
• Experience working across multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - broad organizational exposure is a big plus
• Experience with JSON-based data formats, APIs, and integration patterns
• Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus

Benefits & Culture

• Globally distributed team environment
• Remote or hybrid work options (location-dependent)
• Challenging projects with company-wide impact
• Competitive compensation, 25 days paid annual leave, plus holidays
• A culture that values curiosity, clean engineering, and people who genuinely love what they do

Location – Bulgaria (remote)

Travel – Flexible for adhoc travel

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

About Us:

Delasport is where technology meets the excitement of sports and gaming! As a leading powerhouse in iGaming software, we provide everything from sports betting to online casinos and player account management. Our platform is designed to make every player feel like the star of the show, with personalized experiences and cutting-edge technology at its heart. 

Since 2010, we've made a significant impact in industry, earning awards and expanding our global presence. With offices in Bulgaria, Ukraine, and Malta, our team of over 500 experts is constantly driving innovation and striving for excellence.

Your Team:

At Delasport, you’ll work with a diverse and talented group of professionals who are passionate about redefining the iGaming experience. Your team will be dynamic, supportive, and dedicated to driving innovation, ensuring you have the resources and collaboration needed to excel.

Your Role: This is not a designer role. It is a product‑driven UX position focused on shaping player journeys, owning the UX roadmap, and driving KPI‑based decisions. You will apply system thinking, lead discovery and experimentation, and collaborate cross‑functionally to optimize complex iGaming experiences. The emphasis is on UX strategy, logic, and outcomes - not visual design execution.

How You’ll Make an Impact:

• Drive Product Strategy through UX: Move beyond "user satisfaction" to align UX roadmaps with core business KPIs (eg, Increasing NGR, improving FTD conversion, and reducing churn).
• Logical Architecture & Flow: Prioritize functional logic and system thinking over aesthetics. Map complex iGaming ecosystems to ensure user journeys are frictionless and conversion-optimized.
• Outcome-Based Design: Shift focus from "delivering features" to "solving user friction." Create wireframes and prototypes that serve as hypotheses to be tested against real-world product performance.
• Discovery & Validation: Lead continuous discovery. Instead of just "understanding behavior," identify market gaps and user pain points that represent new product opportunities.
• Data-Informed Iteration: Partner with Product Analysts to interpret funnel data and heatmaps, using these quantitative insights to prioritize the product backlog.
• Cross-Functional Synergy: Act as the bridge between Product Management and Engineering, ensuring design specifications are technically feasible and commercially viable.
• Rapid Experimentation: Design for A/B testing. Create variant experiences to scientifically determine which design patterns drive the best player lifetime value (LTV).

Who You Are:

• Product-Minded Strategist: You don't just care about "good design"; you care about why a feature exists and how it moves the needle for the company.
• Analytical Problem Solver: You are comfortable looking at a Fullstory or Google Analytics dashboard to identify where users are dropping off and proposing architectural solutions.
• Agile & Lean Practitioner: You prefer "low-fidelity" speed for validation over "pixel-perfect" stagnation. You understand the "Minimum Viable Experience."
• Business Fluent: You can speak the language of stakeholders discussing conversion rates, technical debt, and ROI just as easily as typography or spacing.
• iGaming Context: Familiarity with the psychological triggers of gaming, such as "near-miss" mechanics, reward loops, and responsible gaming friction.

• Communication & Collaboration: Excellent communication and collaboration skills, capable of engaging effectively with stakeholders across all levels of the organization.

What We Offer to Make You Smile:

We’re not just about work,  we are about creating a great place to grow, connect, and enjoy the journey. Here’s what you can expect when you join us:

• Competitive Salary Package: We value your skills, dedication, and contributions
• Time Off: Enjoy 21+ days of annual paid leave so you can rest, recharge, and come back inspired
• Bonus & Rewards: Performance-based annual bonuses, special vouchers for birthdays and welcoming a newborn
• Health & Wellness: Additional Health insurance including dental care; Co-funding a Multisport/Coolfit card to help you stay active
• Extra Benefits: Employee discounts at various retailers and a monthly allowance for public transportation
• Great Office Locations: Central office location in Sofia and Plovdiv
• Relax & Recharge Zone: Take a break with colleagues in our PlayStation and Pool Area - perfect for recharging during the day

Wait, there’s more:

• Happy Hour Fridays: Every Friday we host themed Happy Hours with snacks, fun activities, and plenty of opportunities to connect and unwind with colleagues
• Multicultural Days: Celebrate diversity and experience the traditions, food, and cultures of teammates from around the world
• Massages at the Office: Weekly Free Recreational Massages to help relax during the workday
• Chess Lessons: Sharpen your strategic thinking and enjoy some friendly competition with colleagues
• Sports & Football Team: We regularly participate in various sports events and have our own Delasport Football Team, competing in the IT League
• Bulgarian Language Lessons: Bulgarian for Foreigners classes to support smoother communication
• Office Library: Enjoy access to technical literature to expand your knowledge

Ready to Be Part of Something Big? 

If you're excited to join a team that's revolutionizing the iGaming world and want to make a real impact, apply today. We can't wait to meet you!

#LI-HYBRID

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

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

About the Role

We are looking for a Founder’s Associate to join Payhawk’s CEO Office, acting as a strategic and analytical extension of the CEO and C-level leadership team.

This is a high-impact, high-exposure role at the intersection of data science, finance, strategy, and execution. You will work closely with the CEO and senior leadership on company-wide initiatives such as go-to-market strategy, monetization, pricing, commissions, and performance management, while owning complex analytical and modeling work to support decision-making. You will also help define, track, and automate OKRs and performance metrics, ensuring leadership has clear, real-time visibility into progress against strategic goals.

The position is based in Sofia, Bulgaria, and reports directly to the CEO.

Responsibilities 

You will work across strategic, analytical, and execution-focused initiatives, including:

• Act as a strategic partner to the CEO and C-level leaders on GTM strategy, monetization, pricing, and commercial performance
• Build and maintain financial, commercial, and operational models to support strategic decisions
• Analyze company-wide data to identify trends, risks, and opportunities across revenue, pricing, commissions, and unit economics
• Design, maintain, and improve dashboards and reporting for executive decision-making (Tableau, BigQuery)
• Own and support OKR definition, tracking, and measurement across key strategic initiatives
• Design and maintain automated OKR and performance tracking frameworks, integrating data from multiple sources to enable real-time visibility for the CEO and C-level leadership
• Partner with Finance, Sales, Revenue Operations, and Product to ensure data consistency, accuracy, and clarity
• Support strategic initiatives such as new products, pricing experiments, compensation models
• Translate complex data into clear insights and executive-level recommendations
• Drive ad-hoc analyses and projects directly requested by the CEO and leadership team
• Help structure ambiguous problems and turn them into actionable plans 

Requirements

• MBA or equivalent advanced degree, preferably with a Finance or Strategy focus
• Background in management consulting is a strong plus
• Experience in Venture Capital and/or founder/startup experience is an extra plus
• Strong analytical and quantitative skills with proven experience in data modeling and financial modeling
• Hands-on experience with SQL / BigQuery Tableau or similar BI tools for Data modeling and structured analytics
• Strong knowledge and experience using AI tools: vibe coding experience is a strong plus
• Experience working with OKRs, KPI frameworks, performance tracking, and reporting, including automation
• Strong understanding of pricing models, commissions, revenue metrics, and unit economics
• Ability to work comfortably with senior stakeholders and influence decision-making
• Highly structured thinker with strong problem-solving skills
• Excellent communication skills in English
• Comfortable operating in a fast-paced, ambiguous, and high-ownership environment

Nice to Have

• Experience working directly with founders or C-level executives
• Exposure to SaaS business models
• Experience scaling or building products, teams, or companies from early stages
• Strong business intuition combined with deep analytical rigor

Company Benefits

• 30 days holiday paid leave
• Competitive compensation package
  
• Exchange policy to another Payhawk office (London, Berlin, Barcelona, Paris, Amsterdam)
• Flexible working hours and opportunity to work from home
• Regular team-wide events
• Additional Medical care
• Multisport card fully funded by us 
• Opportunity to use the Payhawk product.
  

Payhawk is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

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

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:

• Lead cross-functional projects from ideation to execution with a high degree of independence and maximum impact
• Solve high velocity, high impact analytics problems
• Scale the business using data
• Work on a mix of analytics engineering, business analytics, and data science using SQL and Python
• Build scalable data infrastructure that solves real problems

Sample projects:

• Operate and improve a data product to serve evolving business needs
• Refactor data system to scale with increased volume and new requirements
• Build new data pipelines to support tracking of new business initiatives 
• Champion usage of new tools and systems to improve team processes
• Improve the prediction accuracy of our customer acquisition machine-learning bidding algorithms
• Perform customer segmentation analysis to discover where to improve Insurify products
• Improve alerting systems to help us triage data quality issues at scale

Key Skills + Background

• 3-4 years of experience, record of impact and success in a similar role (Analytics or Data Engineering, Data Science, Data Analysis)
• Expertise in and real-world experience with SQL
• Exposure to data warehousing and ETL concepts 
• Strong quantitative and programming skills - Python (preferred) R, Rust, Go, Ruby, C++ also good
• Bachelors / Masters in Mathematics, Engineering, CS, Economics, or other technical major
• Quick learning ability and a drive suitable for the startup hustle.
• A positive team player with a solid work ethic who is ready to pivot between projects, learn from mistakes, always move forward, and help build the next big thing in insurance!

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