Senior Data Scientist (Technical Specialist)
The RegTech & Advanced Analytics department sits within a newly formed Innovation function in the FCA, leading the development of an organisation-wide capability to support a more analytics-led regulatory approach. Its principle objectives are delivering business value through the application of pioneering advanced analytical techniques and championing a disruptive innovation culture across the FCA. You will be at the forefront of building and shaping the Advanced Analytics centre of excellence and driving and embedding cultural change throughout the organisation.
The department has three teams (Advanced Analytics; Transformation and RegTech) and we encourage a multi-disciplinary approach including:
- Partnering with other Divisions on analytics projects
- Partnering with PhD programmes and commercial data science programmes to build data science capabilities and develop a pipeline of talent into the FCA
- Working with the FCA’s Academic Advisory Council to promote the application of research to practical regulatory challenges
- Collaborating with regulatory peers to develop best practice and share learning
As a Technical Specialist in the Advanced Analytics team, you will use data science techniques to solve analytical problems, improve FCA operations, and advance our ability to proactively identify harm. You will deliver analytical output that can be easily understood by non-technical internal clients that meets business needs quickly and effectively.
You will play an active part in the advanced analytics management team, helping to build the data science capability and shaping the direction of the team. Drawing on your skills and experience you will 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 product to ensure that it reflects data science best practice and delivers value to the organisation.
As part of the wider remit of the role you will promote the use of the Advanced Analytic capability across the FCA and drive thought leadership in advanced analytics in a regulatory context. This may also extend to informing and helping to develop a suite of training offerings under a new Analytical Faculty in the FCA’s Academy.
We're a signatory to the Government's Disability Confident scheme. This means that we guarantee an interview to any 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 candidates CV.
- Masters degree in mathematics, statistics, computer science or related field
- Significant proven experience in applying data science techniques and methods to practical business problems in the private or public sector
- Excellent knowledge of data science methods including supervised (e.g. linear regression, LASSO, random forest, support vector machine) and unsupervised machine learning methods (e.g. clustering, k-nearest-neighbours)
- Advanced competency and significant applied experience using Python, R or similar to analyse, transform and visualise data
- Experience building, testing and deploying machine learning models into production environments
- Experience in working with large and complex datasets using industry standard technologies (e.g. Hadoop, Spark, Hive)
- Experience working with SQL and relational databases
- Knowledge of some/all of the following classes of methods: Natural Language Processing (e.g. HMM, LDA, Word2vec), network analysis and graph databases (e.g. Networkx, Gephi, Neo4j)
- Experience with data visualization and dashboard tools (e.g. Matplotlib, D3.js, R Shiny, Tableau, Spotfire)
- Familiarity with basic principles of distributed computing and/or distributed databases
- Aptitude and willingness to learn and apply new tools and techniques quickly
- Ability to deal with internal and external stakeholders through clear and professional communications both verbally and in writing
- Ability to present highly technical information and conclusions in a way that is coherent and impactful to non-technical audiences
- Ability to work well in a technical team where members come from diverse backgrounds and have different areas of experience and expertise
- Focus, resilience and proven problem-solving skills and behaviours. Able to continue to find solutions and work towards goals when setbacks/issues occur
- Desire to remain at forefront of data science research and understand where we can apply leading edge techniques to help solve complex problems
- Ability to maintain a network of external expert advisers, from academia and beyond
- Desire to deliver practical insights to help the way we regulate
- Experience applying data science techniques in the Financial Services industry
- Experience in financial regulation or other regulatory areas
- Programming experience in C/Java/Scala
- Experience with reinforcement and/or deep learning
- Application of GPU computing platforms/architecture (e.g. CUDA)
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 consumers.
Our ambition is to create a diverse and inclusive workplace that reflects the society we serve, helping us to be a better regulator.
As an inclusive employer, we are open to considering flexible working arrangements. Please contact our recruiter if you wish to apply for this role on a flexible basis.
- This role is graded as Technical Specialist, REG D1
- The salary range will be approximately 70,000 to 90,000 GBP plus a competitive benefits package and non-contributory pension
- Applications for this role close on 18th June 2019
If you are interested learning more about the role:
For internal applications, contact Georgi Kostadinov on email@example.com
For external applications, contact Sam Shabir on firstname.lastname@example.org
Please note – Applications must be submitted through our online portal. Applications sent via email will not be accepted.