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Quantitative Advisory Services Graduate programme

targetjobs Hired

London

On-site

GBP 30,000 - 50,000

Full time

8 days ago

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Job summary

An established industry player is seeking motivated individuals to join their dynamic team focused on financial services. In this role, you will analyze data to uncover trends and develop statistical models that predict critical outcomes like credit loss. This innovative firm leverages cutting-edge technology and cloud-based platforms to deliver high-quality data solutions, ensuring that you will work in a collaborative environment that values curiosity and creativity. If you're passionate about data and eager to make a real impact in the financial sector, this opportunity is perfect for you.

Qualifications

  • Working towards an honours degree in relevant fields.
  • Minimum GCSE in English and Maths required.

Responsibilities

  • Collaborating in a team to analyze data and identify trends.
  • Developing and validating statistical models for credit loss predictions.

Skills

Data Analysis
Statistical Modeling
Machine Learning
Analytical Skills
Communication Skills

Education

Honours Degree in Maths, Statistics, Financial Risk, Physics, Economics, Chemistry, Engineering, or Computer Science
Minimum Grade 4/C GCSE in English and Maths
Three A-levels/Five Highers

Tools

SAS
SQL
Python
R
VBA

Job description

Programme overview

Our team works with clients in financial services with regulatory and risk modelling challenges in areas such as market risk and credit risk. We work closely with other areas of the business to bring together the range of quantitative modelling and technical skillsets needed to support our clients’ highly specific and complex requirements.

Data is at the heart of what we do, and technology is the driver for solutions we bring to our clients. We use cloud-based high-processing power platforms to develop data extraction and warehousing solutions, leveraging machine learning and advanced analytics.

What you will be doing

  • Working together in a collaborative team environment, where curiosity and questions are encouraged.
  • Analysing data to identify trends.
  • Developing statistical models to predict things such as credit loss.
  • Reviewing and validating models to ensure the accuracy of outputs.
  • Performing derivative valuations.
  • Translating technical methodologies and findings into digestible information for non-technical audiences.

Minimum Requirements

We operate an open access policy, meaning we don’t screen out applications on your academic performance alone. You will, however, need to be working towards an honours degree in Maths, Statistics, Financial Risk, Physics, Economics, Chemistry, Engineering, Computer Science or similar, have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, or in your home language if you do not hold English Language GCSE, and three A-levels/Five Highers (or equivalent) to be eligible to apply. Knowledge in SAS, SQL, Python, R or VBA is an added bonus too.

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