Big data
Regulatory and economic pressures argue for banks to embrace new approaches to technology
Video Q&A: Neil Dodgson, IBM Watson Financial Services
Podcast: Brigo on derivatives, AI, machine learning and more
Genuine artificial intelligence remains "very, very far away", says Imperial College's Brigo
A communicative approach to innovative business growth
James Rausch, head of Canadian client coverage and global head of banks, brokers and exchanges at RBC Investor & Treasury Services, discusses how the organisation works alongside clients, leveraging resources and expertise from its other businesses and…
Review of 2017: All sorts of volatility, bar one
Markets were oddly calm this year, while everything else was in motion
Regulatory big data – The costs and challenges of better supervision
Webinar: Moody's Analytics
Quant funds look past the obvious for uses of alternative data
Many systematic investors are sceptical but a few are finding ways to make new data work
Nex’s Spencer on tech, Brexit and the UK’s identity crisis
Risk30: Icap founder fears return of exchange controls under a Labour government
ANZ’s Whelan on China, data science and ROE
Risk30: markets business at ANZ is picking new targets
Bridgewater’s Murray on radical transparency and op risk
Risk30 profile: “People think we’re crazy,” says giant fund’s co-CEO of its unique approach to op risk
AQR’s Cliff Asness: ‘machine learning worries me’
Leading quant cautious on machine learning’s use with limited data
Top 10 energy risks and challenges
Regulation and changing market dynamics among threats to energy in year ahead
Indexer looks to tap quant fund demand for big data
MSCI’s historical real-time data could be used in backtesting strategies, pricing exotic options
Falling margins force energy firms to expand data use
Verification and model challenges arise as volatility and margins dry up
A new way forward: The impact of cognitive technology on the investment management industry
Content provided by IBM
Quants head for the shop floor
Demand for technical skills is growing, but roles have changed – and some schools are not keeping up
New data and AI tipped to transform trading businesses
Isda AGM: New BNP Paribas system already creating counterparty trading probabilities for bonds
The hard labour in profiting from alternative data
Quant fund spending on fresh data will pass $7 billion by 2020, yet most attempts to use it fail
Model risk managers eye benefits of machine learning
Ramp-up in regulatory scrutiny of model validation sees banks turn to black boxes
ETRM systems edge into cloud, but caution urged
Cloud could revolutionise ETRM systems but hurdles persist, according to survey
Blockbuster banks eye Netflix success
Incumbents have big ideas – but lots of baggage
Derivatives sales 2.0: banks explore big data
Pressured banks hope new tools and technical nous will give their sales teams an edge
Energy trading firms race to improve analytics capabilities
Surging availability of data lets firms with best market insight gain an edge
Big data and cloud computing are banks' next tech challenges
Bank technology needs continue to evolve
Investors want to know logic behind machine learning
Big data tools a hard sell without clear explanations, says Winton researcher