Job Summary: 

• Develop quantitative tools in order to automate markets and improve trading efficiency.
• Build pre-match and in-play derivative pricing models on a wide variety of sports.
• Build predictive models on a wide variety of sports.
• Build risk models to enhance the risk function, including customer segmentation models.
• Maintain all models with ongoing model validation and improvements.
• Assist the team members with specific modelling challenges and be instrumental in developing their abilities.
• Work productively with colleagues from Technology, Analytics and Risk and Trading.
• Create clear and efficient ways of working, development environments, data capture tools and continuous education and improvement programs.
• Present results and recommendations to key stakeholders.

Skills on Resume:

• Data Automation (Hard Skills)
• Pricing Models (Hard Skills)
• Predictive Models (Hard Skills)
• Risk Models (Hard Skills)
• Model Validation (Hard Skills)
• Team Support (Soft Skills)
• Cross-Functional Work (Soft Skills)
• Stakeholder Communication (Soft Skills)

Job Summary: 

• Design, develop and maintain in-house trading and risk analytics applications/tools supporting Derivatives trading and portfolio management.
• Assist in the research of valuation methodologies and models for derivatives and/or financial instruments.
• Assist in the implementation of valuation models in production and develop an in-depth understanding of model parameters and limitations.
• Work toward attaining a high level of knowledge of the derivatives contained in the company portfolio.
• Enhance tools required to analyze strategic hedging, investment and business decisions.
• Perform research, ad-hoc analysis and reporting.
• Provide support for the valuation systems and resolve production issues in a timely manner.
• Liaise with 3rd party vendors and IT in order to deliver solutions to complex problems in relation to the trade capture and lifecycle.
• Assist in managing large data sets, consultation on database structures, organizing data, and working on database optimization, etc.
• Assist in testing new system components and features.

Skills on Resume:

• Trading Analytics (Hard Skills)
• Valuation Research (Hard Skills)
• Model Implementation (Hard Skills)
• Derivatives Knowledge (Hard Skills)
• Hedging Analysis (Hard Skills)
• Ad-Hoc Reporting (Hard Skills)
• System Support (Soft Skills)
• Vendor Collaboration (Soft Skills)

Job Summary: 

• Identify research needs in partnership with product stakeholders.
• Design, plan, and execute quantitative research that impacts product roadmaps and longer-term strategies.
• Bring quantitative data to life with compelling, evidence-based insights about users and business.
• Adapt the research process and practices to the growing needs of the organization.
• Advocate and guide strategy for design and product direction.
• Collaborate closely with UX research, product management, design, data science, and marketing to evaluate complex user experiences.
• Understand user needs and uncover product opportunities.
• Socialize research across the company in innovative and engaging ways.

Skills on Resume: 

• Research Planning (Hard Skills)
• Quantitative Research (Hard Skills)
• Insight Generation (Hard Skills)
• Process Adaptation (Soft Skills)
• Strategic Guidance (Soft Skills)
• Cross-Team Collaboration (Soft Skills)
• User Understanding (Hard Skills)
• Research Communication (Soft Skills)

Job Summary: 

• Maintain and update the models managed/developed by the Quant Risk team for the wider Risk Department.
• Review and improve the existing risk/pricing models or methodologies.
• Design and develop testing strategies to back-test and stress-test models and to validate the ongoing performance of pricing and risk calculation models.
• Research potential ways of enhancing current models/methodologies, or new models/methodologies that could be implemented.
• Assist in model design and development together with the rest of the Quantitative Risk team.
• Assist in preparing papers on model changes/reviews or other specific issues for Risk Committee and Executive Committee presentation.
• Liaise with independent specialists, regulators, external and internal stakeholders to ensure models are understood within the wider risk management framework.
• Attend wider risk projects and further deliverables.
• Provide ongoing support to the overall quantitative risk team.

Skills on Resume:

• Model Maintenance (Hard Skills)
• Model Enhancement (Hard Skills)
• Model Testing (Hard Skills)
• Model Research (Hard Skills)
• Model Development (Hard Skills)
• Report Preparation (Soft Skills)
• Stakeholder Liaison (Soft Skills)
• Team Support (Soft Skills)