Naomi Cardona Castellanos
Naomi is a London-based assistant quantitative finance editor working on the publication of peer-reviewed papers for Risk.net’s Cutting Edge section. She holds a degree in mathematics and economics from the University of Leeds and a master’s in applied mathematics from LSE.
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Articles by Naomi Cardona Castellanos
Fishwick hands over BlackRock CRO role, Citi expands Asia FX team, and more
Latest job changes across the industry
Baruch, Princeton cement duopoly in 2026 Quant Master’s Guide
Columbia jumps to third place, ETH-UZH tops European rivals
Quantcast Master’s Series: Walter Farkas, ETH – University of Zurich
Swiss planning, large joint faculty and public presentations shape the programme
Quantcast Master’s Series: Jack Jacquier, Imperial College London
A shift towards market micro-structure and ML has reshaped the programme
Quantcast Master’s Series: Kihun Nam, Monash University
Melbourne-based programme winks at pension fund sector
Quantcast Master’s Series: Petter Kolm, Courant Institute
The NYU programme is taught almost exclusively by elite financial industry practitioners
Want to be a quant? Here’s how (and how not) to get hired
Stay curious, be a team player, speak well – and don’t be big-headed
Quantcast Master’s Series: Laura Ballotta, Bayes Business School
The business school prioritises the teaching of applicable knowledge with a keen eye on the real world
For tomorrow’s quants, Python is essential; AI isn’t
Proportion of PhDs in quant teams is sliding, as employers focus on all-round skills
Podcast: Iabichino on finance-native neural networks
UBS quant explains how to incorporate financial laws into an AI framework
Quantcast Master’s Series: Dan Stefanica and Jim Gatheral
Baruch College leaders on how they manage the top-ranked quant finance master’s programme
Tomorrow’s Quants: what it takes to be a next-gen modeller
Employers increasingly prize mix of hard and soft skills, Risk.net survey reveals
Podcast: Muhle-Karbe on the maths behind broker selection
Imperial College’s mathematical finance head introduces new tool to measure slippage and trade quality