Matthew T.

Data Scientist

460 dollar
6 years

My experience

Ergo Group AGSeptember 2019 - Present


ERV GroupJune 2017 - September 2019

- Research machine learning techniques such as penalised regression within R to enhance traditional pricing.
- Develop web scraping tool to gain an accurate view of competition, market movements and key rate differences.
- Managing A/B testing, assisting with developing price elasticity models.
- Provide GLM pricing for brokers: data capture, cleanse & structure; currency, inflation & large-loss adjustments; modelling and post-model validations i.e. backtest, premium audit, base rate adjustments and yield.
- Support inter-departmental process and reporting transformation project. Moving stakeholders from excel/VBA to R-Shiny, automating MI and monitoring reports through the use of the DWH.
- Propose and present regular rate adjustments to key stakeholders, internal and external.
- Automate pricing functions using R, reducing old-world manual rate proposal and implementation from weeks to hours.
- Support junior colleagues in developing core competencies such as pricing techniques, Emblem/R and soft-skills

Allianz InsuranceFebruary 2016 - June 2017

• Research and implement Machine Learning algorithms in R to enhance traditional pricing    techniques.
• Develop first set of technical prices, using    Generalised Linear    Modelling [GLM] for pet insurance products.
• Utilise Emblem statistical    software via self-study    and peer-review to    effectively build GLMs.
• Web scrape consultant performance data    using VBA for Allianz Legal Protection in order to increase    win-ratio of legal cases    and in turn    receive    greater    premiums for Allianz.
• Support Fraud teams in successfully building    a business case to implement point-of-quote policy    declines based    on SIRA fraud rules.
• Utilise Web SQL to access    Allianz’    fraud data held within the SIRA database and disseminate    learnings to peers within the    Fraud teams.
• Streamline specific BAU tasks    within Fraud, using     SAS and SQL, to reduce Insurance Fraud Bureau reporting from weeks to days.•    Manage emerging trends in the Direct Home and Motor Insurance portfolios and provide pricing recommendations to ensure Loss Ratio targets are met.
•    Investigate large claim movements to assess liability and consequential impact on Loss Ratios.
•    Initiate new research avenues and projects to improve operational or profitability performance within the Direct portfolios.
•    Provide daily, weekly and monthly reporting packages for company-wide distribution.
•    Formal SQL and SAS training; excel competency including pivots and VBA.
•    Data extraction, cleansing and manipulation for reporting and investigative projects.

BNP Paribas Leasing Solutions HQJune 2012 - August 2012

BNP Paribas Leasing Solutions UKJune 2011 - August 2011

My stack

Analysis methods and tools

Asset Modeling

Business Intelligence



Web Scraping, Teamwork, Research, Internal data management tools, Analytics

My education and trainings

MSc. Economics - University of Surrey2014 - 2015

BSc. Economics, Finance and Banking Grade First Class (Hons.) - University of Portsmouth2010 - 2013