The posting
About Marex
Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world’s major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3,000 employees across Europe, Asia and the Americas.
For more information visit https://www.marex.com/
Role Summary
Develop centralised automated datasets and models, to meet the needs of business and function analytics teams and senior management, globally across the firm. Build an extensive knowledge of Marex’s business operations, covering analytical requirements, booking models, source systems and data flows, to work towards the systematic development of the required data sets, to the standards of a listed environment. Rapdily automate specified business requirements, advancing existing datasets and prototyping additional datasets and models to comprehensively describe the firm. Respond to and develop advanced datasets to solve commercial challenges, generate efficiencies and support the deployment of AI. Partner with the enterprise data engineers, businesses, functions and analytics teams, working towards the target state solution for sourcing, reporting and modelling data for the firm.
Responsibilities
- Develop centralised automated datasets and models, to meet the needs of business and function analytics teams and senior management, globally across the firm.
- Build an extensive knowledge of Marex’s business operations, covering analytical requirements, booking models, source systems and data flows, to work towards the systematic development of the required data sets.
- Understand business processes and financial analytic requirements across teams and across businesses in the firm.
- Enhance and develop existing datasets, prototype and iteratively develop new datasets and models, rapidly automating business requirements to comprehensively describe the firm on a timely basis and at a granular level.
- Maintain an overall view of the target state data requirements, working with the enterprise data engineers, businesses, functions and analytics teams.
- Respond to and develop advanced datasets to solve commercial challenges and support the deployment of AI.
- Drive significant process improvements, sourcing and analysing data, reducing duplication and driving efficiency and scalability in the firm’s data processes.
The Company may require you to carry out other duties from time to time
Competencies, Skills and Experience
Competencies:
- Control mind-set
- Demonstrates curiosity
- Resilient in a challenging, fast-paced environment
- Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness
Skills and Experience:
- Experience using data analytics, modelling and visualisation tools such as SQL, Python, Alteryx or Power BI preferred
- Experience with advanced Excel functions
- Experience developing or improving financial reporting, dashboards and analytical processes
- Experience working with large and complex datasets, including identifying and resolving data-quality issues.
- Working knowledge of the Financial Services industry and products
- Strong stakeholder-management skills, with the ability to challenge, influence and build effective relationships across Finance and the wider business
- Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this
- Exceptional financial analytic and problem-solving skills
Conduct Rules
You must:
- Act with integrity
- Act with due skill, care and diligence
- Be open and cooperative with the FCA, the PRA and other regulators
- Pay due regard to the interests of customers and treat them fairly
- Observe proper standard of market conduct
- Act to deliver good outcomes for retail customers
Company Values
Be collaborative - by working together across the organisation, we foster teamwork, can better respond to challenges and successfully deliver for our clients
Act with integrity - we pride ourselves on our honesty and high ethical standards. We apply these values when working with all our clients, colleagues and other stakeholders
Be adaptable and entrepreneurial - we embrace change as markets evolve to constantly increase our efficiency and create innovative solutions for our clients. We are interested in the world around us and inquisitive about understanding the challenges and opportunities our clients face.
Be respectful – how we treat each other, and our clients says everything about who we are. We always act respectfully and treat people fairly in everything we do.
Nurture talent – we aim to grow our own talent and make Marex the place ambitious, hardworking and talented people choose to build their career. This means giving and taking stretch opportunities, taking risks, and committing to career development and support – for ourselves, and our teams.
Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.
If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.
