Jay Lan

Investment & Data Analytics Professional

Double Degree in Mathematics & Business Administration with experience at SunLife, CIBC, KPMG, and BioRender. Seeking junior-level positions where I can leverage my analytical skills to optimize business processes through technology.

Jay Lan

Career Objective

I am actively seeking junior-level positions in investment or data science/analytics. My goal is to contribute my analytical skills and financial knowledge while continuing to learn and grow. I firmly believe that technology can optimize business processes and enhance efficiency in the financial sector.

About Me

As a fourth-year student at the University of Waterloo, I am immersing myself in the dynamic fields of Math, Business & Legal Studies. I am passionate about the intersection of Math and Finance, and I am pursuing the CFA designation. I also have a strong interest in law, and I have set my goals on earning a law degree by 2033.

I've garnered diverse experience across finance, consulting, and IT. I pride myself on my proficiency in tools pivotal in today's data-driven landscape, including Excel, Python, SQL, R, and Bloomberg Terminal. My experiences have honed my skills in financial modelling, analytical thinking, and effective communication.

Toronto, Ontario, Canada

Education

University of Waterloo

Bachelor of Mathematics, Legal Studies Minor

2020 - 2025

Lazaridis School of Business & Economics

Bachelor of Business Administration (BBA)

2020 - 2025

Certifications

CFA Program Level I

Top 10% Performance

Issued Oct 2024

Canadian Securities Course (CSC®)

Issued Aug 2022

Professional Experience

Associate Data Scientist

Jan 2025 - Apr 2025
BioRender · Internship
  • Performed feature engineering on raw event-level user data using SQL; applied PCA and statistical tests to identify high-signal features for user retention and engagement behavior.
  • Developed and validated L1-regularized logistic regression models to predict user retention; performed cross-validation and model diagnostics.
  • Designed and built 5+ production-grade data pipelines, using SQL, PySpark, and dbt to extract, clean, and transform users' patterns into actionable insights.

Private Fixed Income Intern

May 2024 - Dec 2024
Sun Life · Co-op
  • Shadowed in the structuring and pricing of asset-backed securities (ABS) deals and developed expertise in auto, commercial equipment, and mortgage asset classes.
  • Automated ABS tranche analysis, improving the accuracy of asset quality evaluations and reducing analysis time by 30%.
  • Conducted credit reviews of high loan-to-value assets and developed scenario testing, strengthening risk assessment.

Capital Markets Treasury Analyst

May 2023 - Sep 2023
CIBC Mellon · Internship

Capital Markets - Treasury - Securities Lending

Professional Expertise

My technical and analytical skills have been developed through academic excellence and practical experience in finance and data science roles.

Investment Finance

Financial ModelingAdvanced
Asset-Backed SecuritiesAdvanced
Risk AssessmentIntermediate
Bloomberg TerminalAdvanced

Data Science & Analytics

Python & RAdvanced
SQL & Database ManagementAdvanced
Machine LearningIntermediate
Data Pipelines (PySpark, dbt)Advanced

Open to New Opportunities

I'm actively seeking junior positions in investment finance or data science/analytics for 2025.

  • Available for full-time roles starting April 2025
  • Passionate about optimizing business processes with technology
  • Eager to contribute analytical skills to your team