Open to new opportunities

Michael Jones.

I'm a passionate graduate of the University of Oxford MSc in Statistical Science programme. With several years of experience at the intersection of statistics, data science, and econometrics, I've focused on applying rigorous quantitative methods to macroeconomics — from neutral rate modelling to inflation forecasting. I'm eager to bring my statistical expertise to roles where it can make a real impact.

Statistics Econometrics Macroeconomics Data Science Bayesian Methods
✉ [email protected] ⟶ LinkedIn
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MJ
01

Education

Expected Oct 2026
MSc in Statistical Science
University of Oxford, Oxford, UK
Research conducted from June to October 2026. Relevant coursework: Computational Statistics; Machine Learning; Simulation; Bayesian Statistics; Causal Analysis; Inferential Statistics.
Nov 2023
BSc Honours in Statistics
University of Auckland, Auckland, New Zealand
GPA: 8.25 / 9 — First Class Honours. Research: Markov chains — mathematically deriving probability distributions from a phylogenetic tree under a birth–death process. Relevant coursework: Advanced Regression Methodologies; Bayesian Statistics; Time Series Analysis; Probability; Stochastic Processes.
Nov 2022
BA/BCom Conjoint — Statistics & Economics
University of Auckland, Auckland, New Zealand
Double degree in Statistics and Economics.

Grades available July 2026.

Statistics courses only
Full transcripts available upon request.
02

Work Experience

Statistician / Econometrician
Nov 2023 – Oct 2025
Wigram Capital Advisors — Auckland, New Zealand
Provided statistical advice to clients on interest rate decisions in the Asia-Pacific region. Researched, replicated, and extended macroeconomic models — including neutral rate and output gap models — across multiple countries. Built VAR, ARMA, and regression models for inflation nowcasting and forecasting to inform central bank interest-rate paths. Monitored interest-rate markets and macroeconomic data to support client strategy and internal research. Worked with a high degree of autonomy, independently originating and executing ideas under the oversight of the former Assistant Governor of the Reserve Bank of New Zealand.
Statistician — Summer Research Scholar & Part-time
Nov 2022 – Oct 2023
University of Auckland (InZight) — Auckland, New Zealand
Full-time Summer Research Scholar, continuing part-time research on COVID-19 vaccination data and outcomes in New Zealand.
Intern — Statistics & Data Science
Four summers, 2018 – 2022
Wigram Capital Advisors
Created R Shiny applications to analyse macroeconomic data and support Covid-19 modelling efforts.
03

Research

01
University of Oxford Research
Research in progress — details to follow.
02
University of Auckland Research
"Genealogies of Samples from Stochastic Populations and Biodiversity Models"
A study applying a birth–death process to evolutionary studies, mathematically deriving probability distributions and related genealogical quantities from a phylogenetic tree within a stochastic population framework.
Stochastic Processes Birth–Death Models Phylogenetics
⟶ Download Research Paper