📝 Responsibilities
- Analyze and monitor betting activity and adjust odds when necessary
- Cooperate with Senior Traders and the Risk Management and Pre-Match teams to ensure effective trading operations and risk control
- Monitor sporting events and stay up to date with relevant industry developments and market trends
- Propose tailored betting types and solutions for regional partners based on their specific business needs and requirements
- Provide support to regional partners on matters related to the platform, betting products, and trading operations
- Perform additional tasks assigned by the immediate supervisor that fall within the scope of the position and comply with applicable labor legislation
✅ Requirements
- 0–2 years of experience in sports betting, trading, or a related analytical role
- Good overall understanding of sports and sporting events
- Strong numerical, mathematical, and analytical abilities
- Comfortable working efficiently under time pressure and in a dynamic environment
- Strong problem-solving skills with a high level of accuracy and attention to detail
- Willingness to learn, develop quickly, and adapt effectively in a dynamic work environment
- Willingness to work in shifts, including evening hours and weekends
🌟 Nice to Haves
- Bachelor’s degree in Mathematics, Statistics, Economics, Finance, or a related field
- Previous experience in the trading field will be considered an advantage
💻 Technologies
- Basic principles of trading
- Odds adjustment
- Data analysis
⚡ Skills
- General Sports Knowledge
- Mathematical & Analytical Skills
- Problem-Solving & Attention to Detail
- Learning Agility & Adaptability
- Shift Work Availability
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100096496
✨ Aggregated by our AI search engine. Accuracy is not guaranteed. All rights reserved by the original publisher.
📝 Responsibilities
- Manage the full contract lifecycle, from request intake through review, coordination, and final approval
- Act as a project manager for contract-related processes, ensuring effective planning, tracking, and timely execution of tasks
- Monitor daily contract workflows and ensure adherence to defined timelines and service levels
- Coordinate and align cross-functional stakeholders, including Legal, Sales, Finance, Compliance, and other relevant teams
- Initiate, manage, and track Jira tasks, ensuring timely follow-ups and completion
- Review and manage various contract types
- Identify potential risks and ensure proper stakeholder alignment prior to final approval
- Organize and facilitate cross-functional discussions or committee reviews when required
- Ensure all required information, documentation, and approvals are complete before submitting contracts for signature.
- Handle other relevant activities assigned by the Team Lead
✅ Requirements
- University degree in Business Administration, Management, Law or a related field
- 2+ year experience in contract management, legal operations, paralegal or similar roles
- Strong project management and stakeholder coordination skills
- Understanding of commercial and financial contract terms
- Ability to manage multiple workflows and stakeholders
- High attention to detail and risk awareness
- Experience with Jira, SharePoint, or similar tools
- Strong communication skills in English
📝 Responsibilities
- Define and own the roadmap for data and AI/ML products (data platforms, APIs, dashboards, predictive models, recommendation engines, NLP/vision solutions, etc.)
- Translate business goals into AI/ML-enabled product strategies that drive automation, insights, and competitive advantage
- Partner with business stakeholders to identify opportunities where AI/ML and advanced analytics can create value
- Act as the key interface between data scientists, engineers, and business units, aligning priorities across teams
- Maintain and refine product backlog; write detailed user stories with business and technical acceptance criteria
- Work closely with data scientists to design, build, and deploy ML models into production
- Ensure data quality, explainability, scalability, and performance are built into all products
- Oversee the lifecycle of ML models (development, deployment, monitoring, retraining)
- Ensure data and AI/ML products comply with internal policies and regulatory requirements (GDPR, responsible AI, gaming/financial regulations)
- Have minimal knowledge in MLOps, metadata management, and data governance
✅ Requirements
- Proven experience as a Product Owner / Product Manager in data, AI/ML, or analytics-focused products
- Strong understanding of data science workflows, machine learning lifecycle
- Domain knowledge in iGaming, fintech, or other data-intensive industries
- Understanding of responsible AI, model explainability, and bias mitigation
- Ability to identify and prioritize high-value AI/ML use cases
- Familiarity with data engineering and BI platforms
- Hands-on exposure to AI/ML concepts (predictive modeling, NLP, computer vision, recommendation systems)
- Excellent communication and stakeholder management skills, with the ability to align technical and business teams
- Experience with Agile/Scrum and product backlog management
IT Channel: @iJobAm_IT
Facebook: Page
Facebook: Group
LinkedIn: Page
100096492
✨ Aggregated by our AI search engine. Accuracy is not guaranteed. All rights reserved by the original publisher.
📝 Responsibilities
- Oversee Digitain’s total rewards strategy, ensuring fairness, competitiveness, and alignment with business goals
- Govern salary structures, incentive schemes, and reward policies
- Partner with Finance on budgeting for compensation cycles and bonus pools
- Handover from the COO office existing KPI frameworks, adapt missing KPI frameworks for the whole group, and implement them
- Ensure consistency across business units and alignment with performance expectations
- Lead annual incentive review cycles
- Conduct compensation and job benchmarking against local and global markets
- Recommend adjustments to remain competitive and support talent retention, ensuring internal equity and external competitiveness across all job families
- Periodically assess the effectiveness of existing benefits and propose enhancements, aligning them with Digitain’s employer brand and market positioning
- Build and maintain a structured job architecture, including job families, grading systems, and leveling criteria
- Ensure clarity and transparency in role definitions, job size evaluation, and career progression
- Oversee job evaluation methodology and governance
- Lead the design, implementation, and continuous improvement of Digitain’s performance management cycle
- Drive adoption of performance standards, goal-setting, evaluation processes, and calibration sessions
- Partner with the L&D team to provide training and guidance to leaders on effective performance practices
- Develop and implement competency frameworks across all job families
- Create clear career pathways supporting employee growth from junior to senior levels
- Partner with L&D to define development programs aligned with competencies
- Lead the annual talent review process, identifying high-potential employees and future leaders
- Develop succession plans for critical and leadership roles
- Create talent pipelines to ensure sustainable organizational capability
- Support major organizational and cultural transformation initiatives
- Develop change management frameworks, communication strategies, and adoption plans
- Enable leaders and managers to successfully lead their teams through change
- Act as a strategic advisor to the Group Chief People & Culture Officer and executive leadership
- Lead cross-functional governance committees for compensation, performance, and organizational development
- Develop and mentor a high-performing OD & Performance team
- Establish strong partnerships with HRBPs, Finance, Talent Acquisition, and Learning & Development.
✅ Requirements
- Master’s degree in HR, Organizational Development, Business Administration, or related field
- 8 - 12+ years of experience in Organizational Development, Compensation, Performance, Talent Management, or Operational management roles
- Proven experience designing job architectures, performance frameworks, and reward systems
- Strong understanding of global benchmarking methodologies and job evaluation systems (e.g., Mercer, WTW)
- Demonstrated capability in leading organizational change and large-scale HR transformation
- Excellent analytical, communication, leadership, and stakeholder management skills.
📝 Responsibilities
- Implement backend logic and business processes for the MVP.
- Design and optimize SQL queries (preferably in PostgreSQL).
- Containerize the application using Docker.
- Collaborate with the project team to ensure timely and high-quality delivery.
✅ Requirements
- Strong hands-on experience with Golang.
- Solid knowledge of SQL (PostgreSQL preferred).
- Experience with Docker.
- Strong problem-solving and communication skills.
- Ability to work independently and deliver results within tight deadlines.
🌟 Nice to Haves
- Familiarity with FusionAuth will be an advantage.