Data Specialist Unstructured Data Financial Services
 
We are supporting an organisation within Financial Services.
 
This is 12 months initially.
 
It is hybrid 40% per cent each Month in the London Stratford office.
 
This is up to 600 PAYE PER DAY it is direct payroll, so the employer s NI is contributed by the client.
 
We are seeking those with Unstructured Data experience and Financial Services exposure.
 
What does this job involve?
As a Data Acquisition Specialist, you will use various technical solutions such as API
functionalities to source accurate and reliable data.
-As a Data Acquisition Specialist, you will present, disseminate, and explain your work
to a diverse group of stakeholders via presentations, reports, and workshops.
-As a Data Acquisition Specialist, you will collaborate with subject matter experts to
understand data requirements and ensure accuracy in model selection for analysis.
-As a Data Acquisition Specialist, you will be involved in mentoring junior staff by
providing guidance throughout data related projects.
 
What will I get from the role?
-Be a part of the Consumer Duty Strategy for the protection of customers across
financial services.
-Play a key role in delivering the Data Strategy agenda
-Working with likeminded colleagues to identify patterns and help the organisation
spot and stop harm faster.
-The opportunity to build productive relationships, enabling internal
stakeholders to achieve their strategic objectives.
-The opportunity to work in a new team that will drive the organisation towards
becoming a more data-enabled organisation.
 
Minimum, Essential & Desirable skills
Minimum skills

• Strong interest and understanding of Consumer Duty.


• Practical experience in implementing APIs to gather data.


• Ability to think through problems creatively and independently.

 
Essential

• Hands on experience with programming languages including Python or RStudio.


• Practical experience working closely with diverse stakeholders to identify business

problems and use data to propose solutions for effective decision making.

• Excellent organisational skills, delivering multiple tasks under pressure.

 
Desirable

• Experience applying data science techniques, including machine learning, in the

Financial Services industry.

• Experience building solutions using unstructured data.


• Degree in mathematics, statistics, computer science or related field.


• Familiarity with Data Visualisation tools such as Tableau or PowerBI.


• Experienced in a variety of Data Science techniques. It would be beneficial to have

knowledge of methods such as Natural Language Processing, Network Analytics,
Predictive Modelling.