Decision Science Analysts
3 weeks ago
Decision Science Analysts
London
to £55,000 + bonus & benefits
- Successfully contribute and deliver to the advanced environment of analysts to accurately value portfolios for investment and increase profit on previous purchases.
- Use machine learning and advanced analytical techniques (KNN, XGBoost, etc.) to increase prediction accuracy
- Continuously improve existing models and create new tools/models for analysis and valuate potential accounts / portfolios. Test and validate results.
- Present and explain valuations and predictions to Investment Committee and Stakeholders
- Dig into data and raw information through statistical analysis to discover trends and patterns that can be used to extract valuable business insights.
- Develop predictive models, e.g. Scorecards, using statistical tools and techniques.
- Contribute to internal Analytical Labs to keep pushing the boundaries in modelling, predictive analytics and business insights whilst taking advantage of the latest developments in Data Science and analytics.
- Significant experience working with large data sets and using quantitative analysis/modelling to drive business results.
- Experience in using statistical computing languages R, Python or SAS to manipulate data and draw insights from those data sets.
- Experience with databases (SQL) would be beneficial.
- Strong problem-solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses.
- Experience and interest in model development.
- High level of integrity and dependability with results-orientation and a strong sense of urgency. Thorough understanding of quantitative analysis preferably from banking and finance industry.
- Ability to communicate and interact with various people at all levels and to present your findings, i.e. be able to explain complex problems in an easy way to non-analysts.
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