Senior Data Scientist

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Role Description

Reporting to the Head of Data Science, you will be responsible for leading analytic thinking and delivery of our work for our clients to drive increased value from their data assets.   

 

You will use your proven superior capability in assessing the underlying business challenges to shape key propositions for this fledgling business by accurately defining the problem statement and identifying the appropriate analytical methods and solutions by which their data can be transformed into commercially valuable insight and analytic applications.

Responsibilities

  • Clear understanding of the AML and Financial Services sector challenges and objectives to enable the business to develop commercially relevant propositions using appropriate analysis methodologies and solutions. 

  • Lead and undertake the analyses required for clients from the data aggregation, profiling, model development through to the visualisation and communication of results. 

  • Prepare reports and present key insights in a manner that is clear and comprehensible to internal and external stakeholders. 

  • Identify new product development and automation opportunities that will support the BA business objectives. 

  • Manage the analytical projects and workloads with the Delivery Management team to ensure timely and profitable delivery. 

  • Develop and deliver client and data science related case studies and training material for the benefit of the wider business. 

  • Supporting the Commercial team in pre-sales activities, presentations and meetings. 

  • Lead the technical approach for sales proposals. 

  • Develop detailed work plans and briefs with which to support the delivery teams and project management functions in understanding requirements and key success factors of each project. 

  • Lead the continuous development (and training of the business) of best practice analytics methods and quality controls. 

  • Effectively communicate with the business lines in order to obtain the necessary information and documentation. 

  • Be a role model for junior members of the company. 

Knowledge and Experience

​Essential

  • 3-5 analytics experience in Finance/Banking related to AML and Fraud. 

  • Hands-on application of predictive modelling, data mining and data manipulation techniques. 

  • Proven ability to use tools like SQL/SAS/python/R/linux/git/spark/Hadoop. 

  • Specialist in understanding the analytical methods by which data can be used for insight, how this is articulated and delivered to sponsors, and how this can be best leveraged for the business. 

  • Self-starter with strong appreciation of the value of data. 

  • Good business acumen. 

  • Strong communication skills (oral and written), particularly in rendering complex data outcomes to a non-technical audience. 

  • Strong administrative and reporting skills. 

  • Process-oriented, excellent at identifying business areas for improvement. 

  • Good management information visualisation. 

Desirable

  • Working knowledge of graph databases. 

  • Professional experience with NLP techniques in the context of KYC/AML. 

  • Experience with transactional and customer data systems used in banks and financial institutions. 

  • Some client liaison experience. 

  • Analytical mindset and ability to see the big picture and influence others. 

  • Demonstrates leadership skills, able to guide and mentor less experienced analysts to support you in your client work. 
     

Culture & Values 

  • In line with BA Values.

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