Our client is looking for a passionate Machine-Learning Sepcialist eager to take a key role in developing cutting edge machine learning tools for application across financial services, aiming to revolutionise the delivery of audit and assurance services.
The role
You will join as a junior consultant, working closely with banking and capital markets specialists to play a pivotal role in the development of the Machine Learning and AI offering. The role will include leading a variety of projects, with a particular focus on designing solutions to help adhere to increasingly complex regulatory requirements.
Responsibilities:
- Providing data analytics/data science services to deliver meaningful insights to our clients and help them to understand the risks and key drivers for their business
- Development and delivery of new and innovative data science and machine learning tools and solutions to support evolving audit and assurance needs.
- Provide technical and practical insight on the use of data science and AI to enhance controls and processes
- Foster links with academic institutions to keep up to date with the latest ML techniques, technologies and languages
Your professional & academic experience
- Experience using Python (pandas, numpy, scikit-learn).
- Solid understanding of the mathematical, probability and statistical principles behind Machine Learning models.
- Experience using and deploying common machine learning algorithms (Supervised and unsupervised).
- Logistic regression, Neural Networks, SVMs
- Use of Kernels to create a classifying algorithm
- Experience with Natural Language Processing
- Experience in data sourcing, extracting, cleaning, and data managing
- Applying statistical analysis in Python, R, MATLAB and / or Octave
- Familiar with big data technologies such as Hadoop and Spark
Additional desirable experience:
- Strong academics, preferably with a Postgraduate degree in a science or maths subject
- Self-starter with project management skills
- Strong communication and client management skills
- Financial Services experience preferable