Christy Chan

MEng (Hons) Electronic & Information Engineering

2018 - 2022

Imperial College London

• Obtained a 1st class degree (equivalent to a 4.0 GPA).
• Dissertation title: 'Design, Implementation and Comparative Evaluation of Two Skincare Product Recommender Systems'.
• Awarded the Imperial College Alumni Association of Hong Kong Scholarship.
• Awarded the IET Diamond Jubilee Scholarship supported by the Royal Commission for the Exhibition of 1851.

International Baccalaureate Diploma

2013 - 2018

Sevenoaks School, Sevenoaks, UK

• Achieved the IB Diploma award, 42/45 points (Top 5% globally). Obtained an A in Extended Essay in Mathematics. GCSEs: 11 A*s, 1 A.
• Elected Chair of the Sixth Form Committee, Vice Captain of the rifle club, Senior Player of the Year 2018, Leader of Pride Society.
• Attained the Diamond, Gold, Silver and Bronze Duke of Edinburgh’s Awards.
• Awarded the Gandon Science/Technology Prize - prize for the highest grade in the technology department.

Associate Consultant

January 2023 - present

Bain & Company, London, UK

• Worked on cross-functional transformation and growth strategy projects across financial services and infrastructure sectors, driving measurable business outcomes through analytical rigor and stakeholder alignment.
• Selected project experience:
• Drove business transformation initiative for £6.4bn water infrastructure program, securing C-suite buy-in and £3bn loan approval through rigorous analysis of operational inefficiencies and investment priorities.
• Consolidated fragmented data sources into a master project dashboard in Excel, improving visibility on project execution, enabling informed investment decisions for the next Asset Management Period (AMP).
• Led cross-functional workshops across multiple business units, translating strategic discussions into actionable growth initiatives and investment priorities that drove targeted infrastructure improvements.
• Created a framework to prioritize critical infrastructure investments leveraging insights from project managers and engineers to enable data-driven decisions on projects impacting 16m customers.
• Managed a €100M cybersecurity transformation program for a major oil & gas firm supplying 1/3rd of Europe’s natural gas, enhancing 27 initiatives and 116 capabilities to achieve industry-standard cybersecurity maturity overall.
  • Designed and implemented a comprehensive tracking and reporting system in Excel, integrating complex technical requirements to deliver board-ready maturity reporting across 116 capabilities.
  • Validated cybersecurity initiatives, contributing 43% of the phase’s maturity improvement across areas such as IT/OT Vulnerability Management and Cybersecurity Portfolio Management.
  • Guided initiative owners on best practices, managing conflicting priorities across multiple stakeholders to optimize strategic execution and deliver measurable improvements.
  • Coordinated cross-functional delivery across technical teams and senior management, ensuring alignment between system requirements and business objectives to meet regulatory compliance deadlines.
• Developed commercialization strategies and business cases for generative AI, creating go-to-market materials, internal knowledge repositories, and training resources to boost generative AI adoption at Bain by 20%.
  • Created persuasive sector-specific ‘Imagine-if’ use cases to drive internal and client buy-in.
  • Captured insights from previous AI projects to build a knowledge base, improving scalability and decision-making for future AI initiatives.
• Conducted deep-dive consumer research and market analysis on plant-based meat and emerging ESG trends, to identify growth opportunities, translating complex data insights into actionable strategic recommendations.
  • Developed strategic marketing materials and consumer engagement tools, including interactive personality assessments, to drive research visibility and stakeholder buy-in across consumer-facing sectors.
  • Translated complex consumer trend analysis into actionable strategic recommendations for brand growth and market positioning, directly informing go-to-market strategies for consumer-facing sectors.
• Led data analysis for a €30M cost reduction initiative at a PE-backed fund administrator, conducting strategic benchmarking and spend optimization to identify €500K+ in savings through performance and trend analysis.
• Supported Ark Schools on its growth strategy by analyzing demographic trends, funding patterns, and enrollment risks, providing data-backed recommendations on where expansion could have the greatest community impact.

Algorithmic Trading Intern (Industrial Placement)

April - October 2021

Morgan Stanley, London, UK

Part of the Low Latency Execution team, responsible for the Smart Order routing system, a liquidity seeking engine which determines the best trading venues to execute orders on.

• Built and optimized liquidity-seeking algorithms using C++, functional programming, and Python for Smart Order Routing across European equity venues, implementing low-latency execution strategies enhancing market efficiency.
• Drove a 15% increase in lit liquidity volume through developing a new strategy across major European venues.
• Implemented a trading strategy that enabled the stabilization of a €1bn IPO, ensuring smooth market entry.

Technology Summer Analyst

June - August 2020

Morgan Stanley, Hong Kong

Part of the Electronic Trading Infrastructure team, responsible for building the foundational infrastructure for algorithmic trading.

• Led the integration of trading infrastructure data systems using Java, Python, and SQL, connecting to a high-performance visualization platform as part of the next generation algorithmic trading engine.
• Developed front-end interfaces with HTML/CSS for internal data visualization, enabling technical teams to evaluate system performance and validate platform architecture.
• Implemented an event-driven data streaming solution in Java, leveraging event sourcing and TCP to improve reliability and scalability, presenting technical architecture to senior stakeholders.

Research, Development & Design (RDD) Intern

June - September 2019

Dyson, Malmesbury, UK

• Determined the feasibility of a new imaging technology in the sensors team for an upcoming robotic vacuum, allowing for detection of liquid, preventing robotic vacuums from spreading liquid on surfaces.
• Implemented image processing routines to detect liquid. Presented to the Global Hardware Development Director on project findings, demonstrating to him the feasibility of using a specific imaging sensor type for water detection.