Data Analyst / Scientist

About our client:

Our Client operates in the Banking and Financial Industry, with its headquarters rooted strongly in Switzerland. It has its branches spread to more than 50 countries, providing employment to more than 70,000 people all over the world. They fall in the Top 100 Largest Banks and Bank Holding Companies by Market Cap. Their core business is to provide wealth management, asset management and other investment banking services to its clients. They are well known for providing multiple services under one umbrella.

Role Description:

• Are you excited to work with a global Data Analytics team with diverse backgrounds and talents? Can you apply your technical skills to help quantify business risks? Do you enjoy the challenge of converting a business hypothesis into an analytics approach?
• We re-imagine the way we work, the way we connect with each other – our colleagues, clients and partners – and the way we deliver value. Being agile will make us more responsive, more adaptable, and ultimately more innovative.
  
  

Responsibilities:

• Establish relationships with business stakeholders within Group Internal Audit (GIA) to meet the operational and analytics needs of the organization,
• Collaborate across business units with stakeholders, providing thought leadership, and driving day-to-day implementation of our analytics strategy,
• Take ownership of analytical products and proactively monitor the usage of these and adapt them to changing business requirements,
• Analyze business problems and opportunities to design, develop and implement analytics solutions in agile iterations, ensuring the analytics developed meet expectations and are repeatable and sustainable where required,
• Advise GIA stakeholders on analytical options to address their specific needs, including discussing potential analytical approaches to problems, associated costs and trade-offs and recommendations, and providing technical mentorship and coaching to auditors across all levels,
• Contribute to the development of analytics solutions within your agile pod, providing thought leadership on Design Thinking, understanding stakeholder needs and process-improvement for agile analytics delivery
• Display strong communication, interpersonal, and leadership ability coupled with effective problem solving, conceptual thinking, quantitative and analytical skills.
  
  

Your team

• You will be working in the Group Internal Audit (GIA) team. GIA’s role, as an independent function, is to support in achieving its strategic, operational, financial and compliance objectives. We do this by assessing key processes as well as governance, risk management and the control environment within all business divisions and Corporate Centre functions globally. We are independent in our work and report directly to the Chairman of the Board of Directors and the Audit Committee.
• We are a talent powerhouse that attracts and develops the best people by driving career growth in and outside the department.
• As a Data Analytics Specialist, you will be a member of the global Innovation team working collaboratively across GIA to manage the design and delivery of analytics and innovation solutions.
  
  

Requirements:

• Experience (5-7 years) working as a data analyst / scientist or data analytics manager; experience within the financial services industry preferred but not required.
• Strong analytics and reporting skills include experience in Python and SQL. Alteryx and Tableau experience is desirable.
• Experience in applying advanced data analytics / science techniques to solve business problems, including Natural Language Processing and Generation, and Machine Learning
• Excellent project management skills, and comfortable with managing multiple, concurrent projects
• An interest and prior experience in building innovative data-driven solutions.
• Experience of working closely with technology partners and processes.
• A strategic thinker with an interest and prior experience in building innovative and sustainable data-driven solutions.
• Experience managing a team of 3-5 would be desirable but not required.