Financial Conduct Authority (FCA) EmployAbility Summer Internship Programme 2020 - Data Science

 

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Start Date

Summer 2020

Location

Stratford, London,UK

Duration

10 weeks

Who

  • on course for a 2.1 in a quantitative degree 
  • have experience working with data 
  • can code in Python or R 

Salary

a base salary of £24,000 (pro-rata) 

Deadline

Midnight, Sunday 3rd November 2019

EmployAbility is delighted to be working with the Financial Conduct Authority (FCA) to offer disabled students and graduates the opportunity to apply for their Summer Internship Programme.

About the FCA

At the FCA, we’re creating a fair and more resilient financial system. We’re establishing more transparent relationships between financial services and their customers, building trust in financial markets, and protecting vulnerable customers.

Our ambition is to create a diverse and inclusive workplace that reflects the society we serve, helping us to be a better regulator. We’re looking for individuals from all backgrounds who subscribe to our values and want to make a difference. If our Data Science Summer Internship sounds right for you, we’d be delighted to hear from you.

About the Internship

Length: 10 weeks

If you join our Data Science Graduate Internship, you’ll work with our Advanced Analytics function which leads the development and application of data science at the FCA. Its principle objective is delivering business value through the use of pioneering techniques.

You’ll support our data scientists on projects and help deliver innovative solutions to solve challenging problems. For example, you could be deploying machine learning to build classifiers to support decision making. Or, implementing natural language processing to automate document analysis and utilising network analytics to identify transaction patterns.

At the end of the internship you’ll have gained experience in both data science and financial services, working with diverse groups of stakeholders to solve real-world business problems. And, if you’re successful, you could be offered a place on our Data Science Graduate Programme in 2021.

What we look for

If you’re

  • on course for a 2.1 in a quantitative degree
  • have experience working with data
  • can code in Python or R
  • have proven analytical and problem-solving skills
  • are a team player
  • can communicate complex information in a clear and simple manner then we want to hear from you.

What we offer

At the FCA you’ll have the opportunity to make a difference. We offer all our summer interns a competitive range of benefits, including: a base salary of £24,000 (pro-rata), a subsidised on-site fitness centre, a subsidised restaurant, and charity and volunteering initiatives.

We’re proud to be a Stonewall Top 100 employer and we were recently awarded “Employer of the Year” at the Women in Finance awards. We’re also signatories of the #NoBystanders pledge and Disability Confident scheme, which guarantees disabled people an interview if they meet the minimum requirements for a job vacancy.

We value the views of our people and listening to them is central to our success. This is why our staff network groups play such a significant role. They shape the environment we work in, the way we interact with one another and the way that we make our decisions.

The Application Process

Candidates apply through EmployAbility but each applicant is assessed against the FCA's core competencies and selected through the FCA's recruitment process. Successful candidates are hired directly on to the Internship Programme and participate in every aspect of it.

If you have any extenuating circumstances or require further information about the programme, please contact Sarah on +44 (0)7852 764 684 or email info@employ-ability.org.uk

Testimonials view more

I have just received an offer to join J.P. Morgan Asset Management as a Summer Analyst next summer and I really want to thank all of you at EmployAbility for all the invaluable help you have provided me throughout the process.

JB - Finance Summer Analyst 2018

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