Jack Cooper-McEwan

Lead Data Engineer for Guy Carpenter London's Global Specialties team. Responsible for the modernisation of both the data and software lifecycle, including developing new full-stack applications, new data pipelines leveraging dbt and databricks and managing a team of senior data engineers.

I am currently embedded within a cross-functional product team and use data to identify opportunities and set long term strategy. I previously supported 3 DS in a manager role but transitioned to an Individual Contributor as part of an internal restructure.

• Perform deep analysis on 1B+ row datasets to unlock new insights, set team direction and inform future projects and priorities
• Ideate, prototype and develop new metrics to set team goals which will help achieve our strategy
• Manage upwards and horizontally to ensure other team priorities are effectively set, blockers are removed and expectations of my team are reasonable and well understood
• Grow and mentor 3 DS, with a range of skillsets and seniorities

Tech Led and line-managed 6 EMEA DS/ML engineers as part of a global, cross-functional team responsible for the AI transformation of JP Morgan's technology. My primary focus was in the emerging space of OperationsAI, improving the efficiency, efficacy and risk profile of the internal infrastructure stack. Here I delivered rapid, iterative value through a series of explorations into previously untested domains.

• Develop Deep-Learning models for anomaly detection using high-frequency log data from a range of infrastructure and hardware
• Managing a team of 6 data scientists ranging from junior (graduate) to senior (PhD). Responsible for managing workloads, day-to-day management and the longer term growth and development of the individuals and the DS/ML capacity of the team
• Delivering AI-driven products into production. Responsible for the simultaneous delivery of multiple products in a range of domains. Lead several small teams of Data Scientists through EDA, PoC, MVP and into production
• Identifying new opportunities to leverage AI to add business value. Meeting with product owners and technology teams across the firm to help drive the AI transformation of JPMorgan technology
• Communicating results, progress and key findings to a range of stakeholders in the form of emails, presentations and other media targeted to a range of seniority levels and technology competency
• Evaluating external vendors and technology providers for potential firmwide adoption. These technologies range from start-up to mature and have the potential to add benefit to the firm. I discussed potential benefits with vendors and stakeholders and ran small, internal PoCs to assess value whilst following all security and safe-guarding processes

Worked in industry embedded Data Science teams in agriculture and aviation alongside a mix of product managers and development teams to identify and solve customer problems and produce reports to answer specific customer questions. Two projects won RBI internal awards for innovative excellence. My main achievement was leading the production and development of a predictive model which was sold to several leading travel companies.

• Predictive Modelling, including monte-carlo simulations
• Data Visualisation
• Cleaning and profiling of new datasets
• Delivering bespoke analyses to answer customer questions
• Mentoring and training Junior Data Scientists
• Fuzzy string matching, regexes and text manipulation
• Writing production ready code, including unit tests

• Validate external data sources (trades and portfolios) were successfully mapped to internal systems
• Worked with internal and external development teams across Europe and Asia to onboard new clients
• Product owner of a B2C investment journaling platform, shaping product iterations and approving strategy for user communications and engagement