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Ed Clarke

Ed Clarke

Work Experience

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location of Ed ClarkeLondon Area, United Kingdom

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  • Timeline

  • About me

    Case Development Manager at Punter Southall Analytics | MSc Data Science and Behavioural Science | CIMA Qualified Accountant

  • Education

    • University of Bristol

      2015 - 2018
      Economics BSc 2:1

      Activities and Societies: Treasurer of The University of Bristol Men's Hockey Club

    • University of Warwick

      2021 -
      MSc Behavioural and Data Science Distinction

      Activities and Societies: Warwick Bheavioural Insights Team Awarded "Best Project" for my NLP focussed dissertation titled "The relationship between unexpected real-world events, Twitter-inferred surprisingness and risk-taking behaviours"

    • Coursera

      2023 -
      Machine Learning Engineering for Production (MLOps)

      - Design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment requirements.- Establish a model baseline, address concept drift, and prototype how to develop, deploy, and continuously improve a productionized ML application.- Build data pipelines by gathering, cleaning, and validating datasets. Establish data lifecycle by using data lineage and provenance metadata tools.- Apply best practices and progressive delivery techniques to… Show more - Design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment requirements.- Establish a model baseline, address concept drift, and prototype how to develop, deploy, and continuously improve a productionized ML application.- Build data pipelines by gathering, cleaning, and validating datasets. Establish data lifecycle by using data lineage and provenance metadata tools.- Apply best practices and progressive delivery techniques to maintain and monitor a continuously operating production system. Show less

    • Udacity

      2023 - 2023
      Nanodegree Artificial Intelligence for Trading

      6 month course studied part-time covering the applications of machine learning techniques in trading (including signal generation, portfolio optimisation, factor modelling, NLP and backtesting).

  • Experience

    • Willis Towers Watson

      Jun 2012 - Jun 2012
      Work Experience

    • Savills

      May 2015 - May 2015
      Internship

    • Smith & Williamson

      Jun 2017 - Jun 2017
      Work Experience

    • Moorfields Advisory

      Aug 2017 - Aug 2017
      Work Experience

    • H2glenfern

      Sept 2017 - Sept 2017
      Internship

    • Kingfisher plc

      Sept 2018 - Sept 2021

      • Project managed and successfully delivered the implementation of a Power BI Group Trading Dashboard to enable daily visibility of financial performance across eight operating companies• Prepared monthly group CapEx analysis decks and presented them to group executives• Drove operational efficiency by streamlining reporting processes using Excel and SQL • Responsible for internal financial reporting, including weekly sales performance and monthly management account packs • Prepared accurate notes to statutory financial statements, including inter-company transactions and impairment of assets• Redesigned internal reporting processes, streamlining management accounts pack and weekly sales reporting processes • Ensured the accurate settlement and accounting for daily funding to 8 of Europe’s largest home improvement companies • Completed monthly financial reporting packs for 17 treasury entities, including cost of finance reporting

      • Group Business Analyst

        Nov 2020 - Sept 2021

      • Graduate Group Accountant

        Sept 2019 - Nov 2020

      • Group Graduate Treasury Accountany

        Sept 2018 - Sept 2019

    • Dectech

      Mar 2022 - Aug 2022
      Part-time Research Analyst

      • Part-time role carried out in parallel with writing MSc dissertation • Delivered research on a behavioural consultancy project for a large financial institution to understand consumers’ spending/saving behaviours amidst a backdrop of increasing inflation and interest rates• End-to-end project contribution including survey design, statistical analysis of the survey data using Python and R and interpretation of findings in PowerPoint

    • Oxford Risk

      Jul 2022 - May 2024
      Behavioural Data Analyst

      • Working at the intersection of data science, behavioural finance and product design to inform model innovation and algorithm development for Oxford Risk's investor suitability software• Synthesise complex data patterns from large financial/psychometric datasets and distil results into meaningful business implications for consultancy-based clients and internal stakeholders• Extensive application of Python, SQL and machine learning techniques (including regression, classification, clustering, dimensionality reduction and neural networks)• Quantitative risk modelling of investment funds and modelling of investors' personalities to appropriate investment products• Collaborating with the Product and Software Engineering teams to design, implement and unit-test software developments Show less

    • Punter Southall Analytics

      May 2024 - now
      Case Development Manager

  • Licenses & Certifications