We are looking for a Football Trader to join our team. The Trader will be responsible for the life-cycle of odds: from pre-match creation to in-play trading. This will involve ownership of designated competitions, pricing of in-house markets, management of markets, trading live matches, and risk management across our platform. This role combines data analysis, market awareness, and real-time decision-making to optimise trading performance and manage financial exposure.

The successful candidate should have a hunger to drive our betting offer forward coupled with a data driven approach. They should have a strong knowledge of football, sports betting markets and statistical analysis, with the ability to react quickly in fast-paced live environments.

What you'll be doing:

• Set up, price and manage a range of football markets across domestic and international competitions for both Pre Match and In Play
• Compile odds for a range of player and stats-based markets that include Shots, Fouls, Tackles, and Offsides
• Monitor and adjust odds based on market activity, team news and liabilities whilst assessing and reacting to sharp betting patterns
• Manage a diverse range of in-play football markets during live matches using the in-house soccer model - Corners, Cards, Stats and Player markets
• Ensure markets remain competitive while maintaining profitable margins
• Monitor trading tools and feeds to maintain accurate and timely market updates
• Active collaboration with Risk teams when necessary
• Conduct analyses of the markets and competitions you are responsible for - betting trends, customer behaviour, and market performance
• Work closely with quantitative analysts, product teams, and risk teams to improve trading models, tooling and platform functionality

What we are looking for:

• Strong knowledge and passion for football, including major leagues and competitions
• Experience in sportsbook trading and betting operations
• Ability to make fast, accurate decisions under pressure
• Solid understanding of probability, odds calculation, and betting markets
• Proficiency in Excel and Google Sheets and trading platforms; knowledge of Python/R is a plus
• Ability to work shifts including evenings, weekends, and major football events

Desirable Qualifications

• Degree in Mathematics, Statistics, Economics, Data Science, or a related field
• Previous experience with in-play trading systems or automated trading tools
• Knowledge of multiple sports betting markets (Totals, Player Props, Stats markets etc.)

The Game Designer, Mathematician is a senior individual contributor responsible for designing the functional mechanics and mathematical models of original online casino games developed by RSI’s in-house game studio. The Game Designer defines features, bonus structures, paytable economics, and underlying math models that determine how games play, perform, and engage players, while also contributing to the design and optimization of site-wide promotional and gamification mechanics that reflect the RSI brand.

The Game Designer owns the full functional design-to-model lifecycle for each game, from initial concept and feature design through mathematical modeling, PAR sheet creation, simulation validation, and iterative tuning, in close collaboration with engineering, product, and creative teams. The position requires deep expertise in casino game mathematics and mechanics design, as well as the ability to develop compliant games within a fast-paced, regulated environment while delivering engaging, commercially viable player experiences aligned with the RSI brand.

What You'll Do:

• Design and define the functional mechanics for original online casino games, including base game structures, bonus round triggers and flows, progressive jackpot systems, gamble features, cascading/grid-style mechanics, and meta-game experiences
• Build the complete mathematical models for each game, including RTP targets, volatility profiles, hit frequency, standard deviations, prize distribution, and payout structures
• Create and maintain PAR sheets, combination sheets, and all regulatory math documentation required for internal review, testing laboratory certification and regulatory approvals
• Define symbol hierarchies, paytable structures, reel layouts (including non-traditional formats such as grid slots and cluster-pay), win-line configurations, and feature trigger conditions
• Build and run simulation code (Python, C++, C#, Javascript, or equivalent) to validate math models, verify behavior across gameplay scenarios, and test edge cases
• Write demo and prototype code to rapidly test mechanic concepts before full production commitment
• Evaluate existing casino concepts for adaptation into RSI’s online real money gaming environment
• Create comprehensive Game Design Documents (GDDs) and functional specifications for engineering, art, audio, and production teams
• Ensure all math models meet regulatory requirements across RSI’s operating jurisdictions, adapting designs for market-specific RTP ranges, win caps, odds requirements, and fairness standards
• Play-test and iterate on in-development games, providing feedback on math balance, mechanic feel, feature pacing, and edge case behavior
• Analyze post-launch game performance data and recommend math and mechanic adjustments to live games
• Maintain and contribute to RSI’s internal game design standards and style guides
• Collaborate with creative leads by providing functional specifications and mechanic requirements that inform visual and thematic direction
• Work with software engineers to verify math implementation in code and review game software during development
• Partner with designers and product managers to brainstorm concepts, refine games in progress, and share best practices

What You'll Bring:

• Bachelor’s degree in mathematics, statistics, applied mathematics, computer science, physics, engineering, or a closely related quantitative field required. Master’s degree or higher in a quantitative discipline preferred.
• 8+ years of direct, hands-on experience in slot game design and/or slot game mathematics within a land-based or online casino game studio environment. This is a non-negotiable requirement — candidates without direct slot game experience will not be considered.
• Expert-level knowledge of casino game mathematics: RTP calculation, volatility modeling, hit frequency analysis, standard deviation, prize distribution, combinatorics, and probability theory
• Proven ability to design engaging slot game mechanics across different gambling concepts and styles, including innovative feature structures, bonus flows, progressive/jackpot systems, and paytable economics
• Proficiency in building and running game math simulations and verification scripts using Python, C++, C#, Javascript or equivalent programming languages
• Advanced Excel skills for probability modeling, paytable prototyping, and large-dataset analysis
• Deep familiarity with PAR sheet creation and regulatory documentation standards for online and/or land-based slot games
• Strong understanding of player psychology, behavioral engagement patterns, and what makes slot games commercially successful
• Excellent communication skills with the ability to translate complex mathematical concepts into clear documentation for both technical and non-technical audiences #LI-REMOTE #LI-PROMOTE

Reporting to the Director of Financial & Regulatory Reporting, Europe, the Senior Regulatory Reporting Analyst will support the team in preparing entity-level regulatory reports for both domestic & cross border requirements, while also assisting in the development of prudential reporting frameworks and requirements.

 Responsibilities will include:

•  Lead the preparation and submission of monthly, quarterly, and annual regulatory reporting requirements ensuring full compliance with MFSA and other supervisory authority requirements.
• Deliver accurate domestic reports (e.g., BR06, MFSA Financial Institution Return, PSS) and cross-border submissions for other jurisdictions;
• Contribute to research and analysis of jurisdiction-specific reporting obligations, identifying required data points, defining reporting logic, and maintaining full ownership of the process from scoping through to submission;
• Support group-wide reporting activities, ensuring consistency, accuracy and compliance across both local and global entities;
• Develop, analyse and interpret financial projections and prudential metrics to support strategic planning, capital adequacy assessments, winding down planning, and stress testing exercises for Shift4 regulated business;
• Analyse data from internal and external sources, ensuring accuracy, consistency, and reliability across all reporting data fields;
• Identify opportunities for automation, process improvement, and control enhancement to strengthen reporting governance and operational efficiency;
• Proactively escalate key compliance or data issues, providing actionable insights and recommendations to management to ensure timely resolution.

The ideal candidate will bring:

• Possess a University Degree in Accounting/Banking/Finance or similar equivalent qualifications.
• Three or four years’ relevant working experience, preferably in a bank/financial institution or statistical/regulatory environment, is considered an asset, although training will be provided.
• Analytic experience in data mining considered an asset.
• Intermediate or advanced knowledge of Microsoft Applications, mainly Excel including creating tables, writing queries, data manipulation and quantitative and qualitative analysis.
• Team player, with a positive mindset, excellent communication skills and with a can-do attitude.
• Possess strong analytical skills, quality-oriented attention to detail and problem-solving mindset.

Compensation:

Shift4 applies a structured, market-informed approach to compensation. 

Salary ranges are developed based on objective, gender-neutral criteria, such as internal job levels, scope of responsibilities, and external market data. The range listed for this position reflects the expected hiring range for qualified candidates and corresponds to the level and requirements of the role.

Actual compensation may vary depending on various factors, such as experience, skills, qualifications, work location, and market conditions. Shift4’s compensation structures are subject to periodic review and ongoing alignment across regions. Additional components such as variable remuneration or other benefits may also apply based on eligibility and role type.

Salary Range: € 50,000 - € 55,000

Benefits for working for Shift4:

Join Shift4 and enjoy a work environment that prioritizes flexibility and well-being. We embrace a hybrid working model, offering our team the flexibility to balance time between remote work and our modern, welcoming offices located in the heart of Valletta, Malta's historic capital.

Our standard remuneration package is comprehensive, including private health, dental, and life insurance, as well as parking allowance, preferential home rates, and a company pension plan (with APS). We are committed to supporting our employees' well-being through our Mental Health Program, family-friendly measures, an equipped canteen with free breakfast, and exciting company events.

The Analytics Engineering Technical Lead will define and own the modeling architecture, standards, and technical direction within RSI’s cloud-native Data Platform. This role is accountable for ensuring that analytics-ready data is reliable, scalable, and aligned to long-term business needs across growth, operations, and risk.

You will lead the design and governance of core data models in Snowflake and dbt, establishing best practices that enable high-quality, self-service analytics without sacrificing trust or performance. As a hands-on technical leader, you will set standards for modeling, testing, documentation, and deployment while mentoring other Analytics Engineers and raising the overall technical bar of the team.

This role partners closely with Data Engineering, Analytics, and business stakeholders to translate evolving requirements into durable data products. You will help balance speed and governance, prioritize platform investments, and ensure our data foundation scales with the business.

Our modern data stack includes Snowflake, AWS, Python, Airflow, and dbt.

What You'll Do:

• Lead the design, development, and lifecycle management of curated datasets, dbt models, and analytics data marts aligned to business domains and metrics.
• Establish and evolve standards and best practices for dbt modeling, testing, documentation, and code organization to support long-term scalability.
• Ensure analytical datasets are accurate, reliable, and trusted, serving as a single source of truth for business, product, and stakeholders.
• Embed data quality checks, documentation, and governance directly into analytics pipelines.
• Partner closely with Product, Data Engineering and Analytics teams to translate business requirements into well-modeled, performant data products.
• Mentor and support Analytics Engineers through technical guidance, design reviews, and knowledge sharing.
• Continuously improve and modernize analytics workflows by introducing automation, tooling enhancements, and AI-assisted development where appropriate.
• This role includes technical leadership and mentoring responsibilities for the team, including other Analytics Engineers.

What You'll Bring:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related quantitative discipline.
• Technical Leadership: Proven experience defining technical direction, standards, and architectural decisions within analytics engineering or curation teams.
• Data Modeling Expertise: Deep understanding of dbt, data marts, dimensional modeling, and self-service BI enablement.
• Data Engineering Background: 7+ years of experience in data warehousing or development; 5+ years of experience in hands-on data engineering using SQL and Python.
• Cloud Infrastructure: Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization (Docker/Kubernetes).
• Tooling & Orchestration: Experience with tools like dbt, Airflow, S3, REST APIs, and large-scale DWHs (Snowflake, Redshift, BigQuery, etc.).
• Change Management: Skilled at leading cross-functional data initiatives and driving adoption of new tools and standards.
• People Leadership: Experience mentoring and guiding distributed teams across time zones.
• Communication: Strong written and verbal English skills with the ability to collaborate across technical and business functions.
• Able to travel occasionally both domestically and internationally #LI-HYBRID