Quantitative finance
WHAT IS THIS? Quantitative finance is a field of applied mathematics concerned with financial markets. In banking, it spread from the pricing of derivatives to the modelling of credit, market and operational risks. Today’s quantitative analysts are scattered across a range of functions, from risk management and model validation, to data science, algorithmic trading and regulatory compliance.
Quant Guide 2019: King’s College London
London, UK
Quant Guide 2019: University of Oxford
Oxford, UK
Quant Guide 2019: University of Waterloo
Waterloo, Ontario, Canada
Quant Guide 2019: Erasmus University Rotterdam
Rotterdam, Netherlands
Quant Guide 2019: University of Florence
Florence, Italy
Quant Guide 2019: NYU Tandon
Tandon School of Engineering, New York City, New York, US
Quant Guide 2019: City, University of London
Bayes Business School (formerly Cass Business School), London, UK
Quant Finance Master’s Guide 2019
Risk.net’s guide to the world’s leading quant master’s programmes, featuring a ranking of the top 15 schools
Princeton tops inaugural Risk.net quant master’s ranking
Course sees off competition from Berkeley’s Haas and three New York schools
Degree of influence: are machines starting to learn finance?
This year's analysis recognises a turning point in machine learning applications
Asia moves: BlackRock picks new Asia head, Credit Suisse boosts regional solutions, and more
Latest job changes across industry
When bonds struggle, so does alt premia – research
Ties between alternative risk premia and fixed income closer than appreciated
From trend follower to trailblazer
New fund targets commodities others are “scared” to trade – from asphalt to glass panels
The machine shines in Hong Kong A-share fund
Strategy run by ChinaAMC (HK) combines machine learning with human judgement to outdo rivals
UBS hires Moussa from Credit Suisse for Asia QIS role
Imene Moussa to work on QIS and off-balance-sheet structuring across the region
MVA: Forecasting initial margin for client trades and dynamic hedges
In its latest margin survey, the International Swaps and Derivatives Association reported that initial margin (IM) collected by the top 20 firms increased by 22% to $130.6 billion at the end of 2017. As new transactions become subject to IM requirements,…
How to apply Python to complex financial markets
The unprecedented proliferation of data in derivatives markets has led to a rise in popularity of Python, a multipurpose programming language known for its versatility and flexibility. Undoubtedly, the increased adoption of Python has helped enable…
Humans struggle to keep pace with machine learning
Banks and regulators grapple with ‘XAI’ challenge
What’s in the box? Bad year reveals alt premia’s gaps
Average fund is down almost 5%, but gap between best and worst performers is 14%
Lesson from alt premia’s horrible year: be patient
Investment approach’s diversification benefits can’t be relied on in the short term
Python – Is the buzz justified?
Python is rapidly becoming the world’s most popular programming language and its versatility and ease of use has enabled it to achieve widespread adoption in finance, becoming the multipurpose tool of choice for quantitative analysts and other financial…
The initial margin challenge – Why the bang just got bigger
With uncertainty abounding as the industry heads into the final phases of implementation of the uncleared margin rules (UMR), Jean‑Paul Botha, delivery lead of financial trade documentation at Thomson Reuters Legal Managed Services, explores the…
IFRS 9 versus IAS 39: Opportunities in changes to hedge accounting
With financial reporting in a state of flux amid the introduction of several new accounting standards, many corporates may feel overburdened by the need to ensure accounting compliance to take full advantage of IFRS 9 from the point of adoption. Robert…
Banks discreetly seek personnel to mine alt data riches
Citi, Credit Suisse, HSBC and Morgan Stanley are hiring data scientists for a plethora of new initiatives