Data Analytics Manager
Resume:
Guy Evans
#***-**** * *** ***, Vancouver, BC, V*J 1H1
*****************@*****.***
Dear Nintendo,
I am writing to express my interest in your “Sr Data & Insights Analyst” role. This really excites me as an opportunity to develop my analytics career working for a global leader based in Vancouver, whilst working to further my passion of gaming.
Following a Masters in Physics, I have a decade of experience in data analytics and modelling serving leading global banks and asset managers. I have a wide range of experience in deep analytics, with successful experience in delivering advanced machine learned model pipelines for leading global banks, as well as applying statistical techniques in regular system and customer base reviews, as well as designing automation processes in operations. The large implementations I delivered and advised on at FactSet, for globally leading asset managers, were significant, and the recent product changes and data model which I designed and delivered recently, led to FactSet winning the “Best Client Reporting Solution” at the 2024 Financial Technologies Forum.
Consistent professional services and management roles have ensured that I have developed extensive soft skills in particular presenting findings to senior leaders, advising client’s pre-sales conversations, managing and growing teams in new areas.
I believe my skills and experience can be a great asset for Nintendo, and would love the opportunity to speak with you in more detail about the role. I look forward to hearing from you. Best regards,
Guy
Profile
An analytics consultant who has a decade of experience advising and developing advanced technology products in complex, regulatory heavy, financial areas. A focus on modelling has contributed to multiple AI automation products developed, as well as managing the move to a micro services data model for a global leading portfolio analytics platform - work which led to FactSet winning the “Best Client Reporting Solution” at the 2024 Financial Technology Forum. Professional services roles have ensured wide exposure to best practices and technology strategy, as well as continued soft skills development including presenting to senior leaders, team management and growth, client pre-sales responsibilities, as well as training course delivery regularly leading courses over 3 business days.
Factset Research Systems Senior Analytics Manager Jan 2018 – Oct 2023 Analytics Manager: Jan 2019 - Oct 2021
Senior Analytics Manager: Jun 2022 - Oct 2023
FactSet is a market data provider with a suite of analytics products held in a workstation - a competitor to Bloomberg.
● End to end change management services provided for clients including requirements gathering, solution design, implementation, integration, validation and documentation for a range of institutional asset managers.
● Led a multidisciplinary team to deliver an innovative suite of analytics products for a prominent US asset manager, optimising data delivery through API usage, minimising infrastructure and implementation requirements.
● Successfully led the delivery of a comprehensive reporting suite for FactSet's inaugural Middle Eastern client, including database setup, workflow enhancement, and staff training, ensuring seamless adoption.
● Advised product strategy through collaboration with product managers across the product suite. Notably designed new data integration practices, involving the successful adoption of a range of RestAPIs, managing various complex data structures and authentication routes. Used analytics to understand data availability, minimising calculations and transfers to ensure a reduction in both infrastructure requirements and complexity - these changes leading to FactSet winning “Best Client Reporting Solution” at the Financial Technologies Forum awards 2024.
● Advised clients presale supporting technical and architecture questions and proof of concept requirements.
● Managed and delivered multiple in-person training courses for external senior clients (3-5 days).
● Designed a project management and delivery framework which was adopted by the wider team.
● Facilitated many custom requirements for business objectives, including a document comparison tool, a web scraping algorithm, new GraphQL data sync process and countless small custom visualisation features for clients.
KPMG Financial Crime Analytics Manager Jan 2014 – Mar 2018 Analyst: Jan 2014 - Dec 2016
Assistant Manager: Dec 2016 - Jun 2017
Manager: Jun 2017 - Mar 2018
● Managed the integration of a machine learning classification pipeline decision into a three level case review process. Liaised with the various vendors and stakeholders (Blue Prism, Fircosoft, internal and client stakeholders). Managed a team of 4 data scientists for the delivery, whilst building a Named Entity Recognition model.
● Designed and built an automation tool which streamlined the process to create regulatory documentation and system testing processes. The idea, design and execution was managed and delivered globalling at one of the world's largest financial institutions, including database set up and user training.
● Designed a framework for a financial crime health check service, standardising KPMG’s review of client’s financial crime software. The framework condensed project timeframes to less than a tenth of the original effort and improved the insight gained and service provided to clients.
● Managed project delivery in the anti-financial crime technology space, specifically regarding sanctions screening and Anti-Money Laundering software.
● Projects used analytics heavily to improve efficiency and design bespoke automation solutions.
● Provided mentorship for colleagues, pitched for business, managed the development of two new technology products as well as many other projects.
● Team management across teams sized 3 to 14.
● Managed the development of a search tool for forensic accountants to search 10 years of transactions instantly with partial text search terms (previous approach took multiple days for an analyst to search a large database). Personal development and skills enhancement
● Joined KPMG's statistics group involving a year of training in modelling techniques, including machine learning.
● Completed a comprehensive online machine learning course offered by Stanford University and Andrew Ng, developing a wide range of ML techniques and algorithms.
● Leveraged acquired knowledge to build computer vision models using TensorFlow and designed an interactive dashboard to highlight neural network’s performance differences (see github).
● Conducted a thorough analysis of Bridgewater's research on 48 major debt crises worldwide.
Education
University of Manchester, 2009 - 2013
Masters in Physics (MPhys), Upper Second-Class Honours o Object Oriented programming in C++
o Thesis title "Investigating potential effects of colloidal proteins for the development of lab-on-a-chip devices" KPMG Statistics Group - 1 year training in modelling including regression, bayesian and machine learning techniques. Coursera Stanford - Machine Learning (4 months - Course by Andrfew Ng of Stanford) o Intentionally coded the answers in Python rather than Octave.
Skills
Communication, multidisciplinary team management, project and program management, process and framework creation, data strategy, product strategy, training course delivery, solution architecture, cloud technology, RestAPI, ETL. Vendors: Fircosoft, Detica, SAS, Norkom, Oracle, AWS, Snowflake, Azure, Databricks, FactSet, Tableau, PowerBI, Looker Project management: Agile, Lean, Six Sigma, Waterfall Coding ability in: Python, Java, SQL, Snowflake, VB script, PowerShell Advanced libraries: Seaborn, Tensorflow, Pandas, Numpy, QtPy, Beautiful Soup, sklearn
Personal Interests and Achievements
o Recently enjoyed reading Yuval Noah Harari, Adam Grant, Ray Dalio, Anil Seth, John Doerr and David Foster Wallace. o Enjoy travelling and experiencing different cultures and cuisines. o Social sports: Tennis, Rugby, Skiing, Cycling, squash as well as daily exercise. Berlin marathon finisher in 3h33. o Backcountry hiking and camping, having completed the Spearhead traverse and Howe Sound Crest Trail. References available on request
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