Machine learning
Man embraces open source in push to lure tech talent
Risk USA: Forget Silicon Valley – come work in finance, hedge fund CRO tells technologists
BlackRock shelves unexplainable AI liquidity models
Risk USA: Neural nets beat other models in tests, but results could not be explained
Banks split on human oversight of AI models
Risk USA: Most firms supervise their models, but one expert says they can be trusted to make decisions
Humans struggle to keep pace with machine learning
Banks and regulators grapple with ‘XAI’ challenge
Machine learning hits explainability barrier
Banks hire AI industry experts in face of growing regulatory scrutiny
Why Dario Villani trusts machine learning
Duality Group CEO says people should abandon ‘top-down, godlike model’ and their need to understand
At BlackRock’s West Coast AI lab
The firm is handing its ‘most vexing problems’ to artificial intelligence
Predictive fraud analytics: B-tests
In this paper, the authors look at B-tests: methods by which it is possible to identify internal fraud among employees and partners of the bank at an early stage.
Big funds muzzle their AI machines
Fears over interpretability, crowding and overfitting have put a damper on efforts to unleash AI for asset management
Do or die – asset managers take up data science
Firms are scanning an ocean of text and images, as well as big number sets, to grab an edge
A call to arms – How machine intelligence can help banks beat financial crime
The revolution in artificial intelligence promises new leads in banks’ fight against dirty money. Alexander Campbell of Risk.net hosted a live online forum, in association with NICE Actimize, to investigate the applications of this emergent technology
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
Disruptive change in US power markets: Identifying risks and embracing opportunities in the new world of digital
Power markets worldwide are experiencing disruptive changes on a bigger scale and with greater speed than many had anticipated. Now, more than ever, it is essential to understand opportunities and risks associated with these changes
From AI to cheese: funds seek fixes for trend following
Firms turn to machine learning, hybrid products and new markets to boost returns
How machine intelligence can help banks beat financial crime
Faced with massive financial crime challenges, many banks have responded by scaling up their functions. However, these investigations take way too much time and require unending growth in person-power
Risktech start-ups struggle to clinch big-bank contracts
Light on cash, risk management fintechs face an extended gauntlet most won’t survive
UBS’s CRO on the hunt for hidden risks
Swiss bank has rung the changes in its attempt to catch hard-to-measure risks, but “you are never safe”, warns Christian Bluhm
Machine earning: how tech is shaking up bank market-making
As banks get serious about e-trading, humans are being asked to give up their secrets to the machines that could replace them
Podcast: SocGen quants on exotics calibration, machine learning and autocallable pricing
Deep learning techniques are being explored by the quants to speed up exotics pricing
UBS AM joins buy-siders building central data science teams
Data science unit will serve firm’s non-quant investment staff
Quantum computers a ‘viable’ choice in portfolio optimisation
New technology can help solve previously unsolvable problems, says machine-learning specialist
GDPR uncertainty could spell trouble for machine learning
Advisers warn of discrepancy in advice to regulators over automated decision-making
Why robo-advisers need artificial stupidity
Smarter algorithms can’t stop us making bad investment decisions – yet, writes Andrew Lo