Data Scientist - London
- Recruiter
- BCT Resourcing
- Location
- London, London
- Salary
- £90,000 - £130,000 per annum
- Posted
- 28 Feb 2018
- Closes
- 28 Mar 2018
- Ref
- 1487327
- Sectors
- Banking & Financial Services
- Contract Type
- Permanent
- Hours
- Full Time
Data Scientist - Credit Risk Analytics
London
Permanent - £90,000-£130,000 + Package
An excellent opportunity has arisen for a Data Scientist / Advanced Analytics professional to work for a global organisation operating in the banking space. Our client is seeking tenacious, enthusiastic and driven individuals looking to progress and develop their career with an entrepreneurial attitude.
As a global organisation, they are looking to hire an experienced professional to lead a team at the pinnacle of advanced analytics within the Quantitative Credit Risk space. Candidates will have experience applying modern/ predictive learning/ machine learning, data science / AI techniques in this area and come from a strong quantitative academic background such as Mathematics, Economics, Statistics, Physics, Computer Science etc from a reputable university.
Key Responsibilities
You will be pivotal in supporting the business and leading a team of a group of exceptional talent within the advanced analytics umbrella, applying cutting edge , predictive learning / machine learning techniques in the credit analytics space.
Key Requirements
* Extensive experience in a Quantitative / Credit Risk Analytics / data science role within a financial market - Investment Banking, Banking , Consultancy / FINTECH.
* Masters Degree or high level qualification in a Quantitative related field such as Mathematics, Economics, Statistics, Computer Science or a other advanced scientific degree.
* PhD Advantageous
* Strong experience applying cutting edge techniques within on of the following areas - Machine Learning, Predictive Learning, AI, Deep Learning / Data Science.
* Competent with advanced analytical software such as SAS/ R / Python
* Proven experience delivering machine learning algorithms to credit risk modelling - Neural networks, SVM (Support Vector machines) is a bonus
Keywords: predictive learning, data science, machine learning, credit risk, advanced analytics, AI,
London
Permanent - £90,000-£130,000 + Package
An excellent opportunity has arisen for a Data Scientist / Advanced Analytics professional to work for a global organisation operating in the banking space. Our client is seeking tenacious, enthusiastic and driven individuals looking to progress and develop their career with an entrepreneurial attitude.
As a global organisation, they are looking to hire an experienced professional to lead a team at the pinnacle of advanced analytics within the Quantitative Credit Risk space. Candidates will have experience applying modern/ predictive learning/ machine learning, data science / AI techniques in this area and come from a strong quantitative academic background such as Mathematics, Economics, Statistics, Physics, Computer Science etc from a reputable university.
Key Responsibilities
You will be pivotal in supporting the business and leading a team of a group of exceptional talent within the advanced analytics umbrella, applying cutting edge , predictive learning / machine learning techniques in the credit analytics space.
Key Requirements
* Extensive experience in a Quantitative / Credit Risk Analytics / data science role within a financial market - Investment Banking, Banking , Consultancy / FINTECH.
* Masters Degree or high level qualification in a Quantitative related field such as Mathematics, Economics, Statistics, Computer Science or a other advanced scientific degree.
* PhD Advantageous
* Strong experience applying cutting edge techniques within on of the following areas - Machine Learning, Predictive Learning, AI, Deep Learning / Data Science.
* Competent with advanced analytical software such as SAS/ R / Python
* Proven experience delivering machine learning algorithms to credit risk modelling - Neural networks, SVM (Support Vector machines) is a bonus
Keywords: predictive learning, data science, machine learning, credit risk, advanced analytics, AI,