Big data
New data techniques to turbocharge risk management
Risk management and data management have become central to the broader digitalisation efforts of financial institutions. A robust data strategy has an important role in supporting and enhancing risk management efforts
FCA warns on third-party risk management for AI projects
UK regulator keeping close eye on use of cloud and vendor partnerships to develop new models
OK regulator? How AI became respectable for AML controls
Dutch court case pressures supervisors to accept new tech; explainability the key challenge
Fraud prevention solution of the year: Quantexa
Asia Risk Awards 2022
EC set to phase-in consolidated tape rollout
Isda AGM: introduction will start with fixed income, then move to equities and OTC derivatives
Derivatives house of the year: JP Morgan
Risk Awards 2022: Big bet on AI is delivering results
Abu Dhabi fund lures top quants for burgeoning team
StanChart analytics head joins Lopez de Prado at Abu Dhabi Investment Authority
Review of credit risk and credit scoring models based on computing paradigms in financial institutions
This paper provides an overview of some prominent credit scoring models used in financial institutions and provides an insight into how the use and integration of popular computing paradigms based on NNs, machine learning, game theory and BDA in credit…
From use cases to a big data benchmarking framework in clearing houses and exchanges
In this paper, we propose a conceptual framework that links the technical and business benchmarks in the domain of clearing houses and securities exchanges.
DBS chief executive on fighting tech disruptors with data
Asia Risk 25: Data and AI are top technology priorities for Singapore bank, says Piyush Gupta
IFRS 9 product of the year: AxiomSL
Asia Risk Technology Awards 2020
Science friction: some tire of waiting for quantum’s leap
Use cases for new tech are piling up – from CVA to VAR. But so are the obstacles
Study suggests banks may be better off with simpler VAR models
Non-parametric VAR models perform well in calm markets, but miss the mark in volatile periods
Managing AML and fraud – A risky business needs a risk-based approach
Financial services organisations (FSOs) are expected to meet strict financial crime regulations regardless of their size, and those with smaller budgets and fewer resources are finding this increasingly difficult as regulations, guidelines and threats…
Operational risk – Unleashing the power of AI to mitigate financial crime and manage conduct risk
Big data, data mining, machine learning and artificial intelligence have revolutionised how industry manages and mitigates risk. In light of the Covid-19 pandemic, what impact has this had on financial crime, what risks does remote working pose and how…
To model the real world, quants turn to synthetic data
Future financial models will be built using artificially generated data
A sea change – Driving awareness to confront climate risk
Amid a global push towards green policies, the reality of overhauling how industries worth trillions of dollars operate is causing concern. A forum of market participants and sponsors of this report discuss the levels of awareness of climate risk and its…
Alt data lends a different light to coronavirus impact
Smog, traffic data – even movie rentals – help analysts track economic effects of virus
Top 10 op risks 2020: regulatory risk
New technology and reams of red tape make non-compliance fines more likely
Top 10 op risks 2020: theft and fraud
From mega loan fraud to canteen theft, the danger is ever present
Treasurers turn to AI in bid for sharper forecasting
Wider automation could usher in future of ‘hands-free hedging’, but obstacles lurk in data standards and sharing