Craig Marsh
London
Overview
10
10
years of professional experience
Work History
Senior Quantitative Analyst
Energy Aspects
London
08.2023 - Current
- Developed time-series models that integrate financial, fundamental, and macroeconomic variables to explain both outright and relative value pricing, as well as speculative positioning in commodity futures and derivatives.
- Develop systematic strategies that use granular, nowcast fundamental data for oil.
- Manage three junior quantitative analysts in covering agriculture, gas, and power, and systematic portfolio research streams.
- Write a weekly quantitative report covering speculative flows, risks, and opportunities in the oil derivatives market.
- Construct macro factors for explaining liquidity, global growth, and inflation that are used as covariates in quantitative models.
Postdoctoral Researcher
National Oceanic and Atmospheric Administration (NOAA)
Alaska, USA
10.2022 - 08.2023
- Developed advanced spatiotemporal and state-space models to improve the management of black cod populations in the Gulf of Alaska, leveraging expertise in linear and nonlinear statistical time series analysis.
- Utilized R, C++, and Python to implement robust statistical frameworks and ensure computational efficiency.
- Conducted Monte Carlo simulations to evaluate model robustness and alternative model assumptions under varying conditions.
Fisheries Spatial Population Modeler
National Institute of Water and Atmospheric Research
Auckland, New Zealand
05.2021 - 10.2022
- Developed Casal2, a OOP C++ software for managing New Zealand fisheries, contributing across the SDLC (design, testing, and support).
- Conducted stock assessments for key fisheries (e.g., Snapper, Scallops) to establish sustainable catch limits.
- Mentored junior staff in statistical modeling and analytics, improving team capabilities.
- Secured government research funding through successful grant writing.
Fisheries Consultant
Big Blue Data LTD
Auckland, New Zealand
05.2015 - 05.2021
- Established a statistical consulting firm serving clients such as NIWA and the Ocean Conservancy.
- Developed and delivered data-driven solutions tailored to client needs, leveraging advanced statistical analysis techniques.
- Managed projects end-to-end, including client communication, requirements gathering, and execution.
Education
Ph.D. - Statistics
University of Auckland
New Zealand10-2022
Master of Science - Quantitative Marine Biology
Master of Science
Victoria University Of Wellington12-2015
Bachelor of Science - Marine Biology
Victoria University of Wellington
New Zealand11-2014
AWARDS
- NRC Research Associateship Award – Awarded competitive postdoctoral fellowship to conduct research at NOAA, focusing on advanced statistical modeling for fisheries management.
- Dean’s List Honoree, PhD Program – Recognized for academic excellence during doctoral studies at the University of Auckland.
Timeline
Senior Quantitative Analyst
Energy Aspects
08.2023 - Current
Postdoctoral Researcher
National Oceanic and Atmospheric Administration (NOAA)
10.2022 - 08.2023
Fisheries Spatial Population Modeler
National Institute of Water and Atmospheric Research
05.2021 - 10.2022
Fisheries Consultant
Big Blue Data LTD
05.2015 - 05.2021
Ph.D. - Statistics
University of Auckland
Master of Science - Quantitative Marine Biology
Master of Science
Bachelor of Science - Marine Biology
Victoria University of Wellington
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