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Data Scientist London, England

Financial Conduct Authority

Full Time London, England 75000 GBP ANNUAL Today

Job description

Job title:

Data Scientist

The team/department:

There are few jobs where you can make a real difference to the 40 million consumers of financial products, the 2 million people who work in the UK Financial Services industry, and the stability of our economy. The FCA has three objectives.

It is responsible for:

1. Ensuring that markets operate with integrity;

2. Promoting effective competition; and

3. Protecting consumers of financial services.

Our teams of data scientists combine cutting-edge techniques and the latest technology to generate breakthrough insights. We work closely with frontline business areas to deliver valuable insights that help us to spot harm to consumers and inspire to act. We place emphasis on curiosity and regularly experiment with new techniques and approaches alongside delivering production insights. Our analytics community organises demos and discussion sessions with figures across industry and academia.

What you will be doing:

Deliver projects that take our intelligence capabilities to the next level, helping us discover the information hidden in our unique datasets, using your skills to unlock insights that we can use to solve problems, improve ways of working and advance our ability to proactively identify harm.
Act as a key technical member of analytical projects, from the beginning stages of requirements gathering, all the way through to delivery. This role will require you to have strong analytics experience and be comfortable collaborating with project stakeholders at all levels and backgrounds
Review data science model, run the code refactoring and optimisation, containerisation, deployment, versioning, and monitoring of its quality
Test data science models, validate and run tests automation
Communicate with a team of data scientists, data engineers and architect, document the processes
Act as a mentor for junior members of the team, to help them develop their technical capabilities and ability to solve problems quickly and economically. This will include reviewing other team members’ work to ensure that it adheres to data science best practices and delivers value to the organisation.
Promote the use of advanced analytic capability across the FCA through engagement with stakeholders across the organisation.

The skills and experience you will have:

We are a signatory to the Government’s Disability Confident scheme. This means that we will offer an interview to disabled candidates entering under the scheme, should they meet the minimum criteria for a role. A minimum criterion needs to be measurable from reviewing a candidate’s CV. For example, ‘Experience of employment law’ is measurable for looking at someone’s CV but ‘Knowledge of HR practices’ is not.

Exceptions may apply if due to the volume of applications we are not able to interview all eligible candidates who qualify under the scheme.

Minimum:

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

Essential:

Proven experience in applying data science and machine learning techniques and methods to practical business problems.
Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
Ability to understand tools used by data scientist and experience with software development and test automation
Ability to work well with internal and external stakeholders through clear and professional communications and collaboration.
Knowledge of some of the following classes of methods would be beneficial: Natural Language Processing, Network Analytics, Predictive Modelling.

Desirable:

Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions such as AWS.
Experience working with relational, non-relational and graph databases.
Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., Experience with Docker and Kubernetes, OpenShift
Experience applying data science techniques in the Financial Services industry.
Experience in financial regulation or other regulatory areas.
Experience with reinforcement and/or deep learning.
Experience with cloud computing such as AWS and its services.

If you don’t think you meet all the above desirable criteria, please still consider applying. This role and its requirements are broad, and we’d be excited to discuss how you see yourself contributing across it, the opportunities to learn and grow on the job

What you will get from the role:

Stimulating, innovative and experimental work to solve the biggest challenges facing financial regulation and the opportunity to make a tangible impact on the organisation
Exposure to new ideas, opportunity to increase your knowledge and understanding of new technologies
Exposure to a multitude of business stakeholders, working collaboratively with them to identify and deliver intelligence led solutions
Work in the public interest which: helps to change our approach to regulation; makes us more effective at protecting 40 million UK consumers; secures long term economic growth by promoting an industry that represents 12% of UK economic output
The salary range in London is up to £75,000 per annum plus a competitive benefits package, including a non-contributory pension
The salary range in Edinburgh & Leeds is up to £67,000 per annum plus a competitive benefits package, including a non-contributory pension
Our competitive Flexible Benefits Scheme gives you the opportunity to create a personalised benefits package, tailored to suit your lifestyle. You can use this allowance to purchase additional benefits such as dental or cycle to work or you have the option top up your base salary by taking this as cash. Additional information on the core benefits you will receive can be found
here
.

About the FCA:

The FCA regulates the conduct of 50,000 firms in the UK to ensure our financial markets are honest, fair and competitive. We do this to make sure markets work well for individuals, businesses and the economy as a whole. For more information on what we do, our three-year strategy can be found

here.

The FCA's Values & Diversity:

Our ambition is to create a diverse and inclusive workplace that reflects the society we serve, helping us to be a better regulator

Flexible working:

We welcome applications from candidates who are looking for flexible arrangements. Many of our staff work flexibly including working from home, staggered hours, and job shares. We can’t promise to give you exactly what you want but we won’t judge you for asking.

Multilocation & hybrid working:

As part of the FCA’s on-going commitment to develop our national presence, most of our vacancies are now open to working in our Edinburgh, Leeds, and London offices. This means that as part of the application process you will be able to select your preference of which office location you would like to work from. The FCA also supports hybrid working which means you will be able to work from home up to 60% of the time over a month with the remainder of your time in one of our three office locations.

Useful information:

Applications for this role close on at midnight on 16th March 2023
Got a question? If you are interested learning more about the role, please contact Ifrah Azam at
[email protected]
The interview process for this opportunity will involve a competency-based interview and technical case study. For additional guidance and support on the FCA’s interview process, please visit our careers site
here.

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