Big data
Risk Technology Awards 2019: Making machines more helpful
Machine learning can be too efficient; now, vendors are looking for ways to make it more accurate. Clive Davidson looks at the stories behind this year’s Risk Technology Awards
A tech-driven transformation
A panel of experts explores how greater collaboration between risk and finance teams can garner significant benefits and add value, how technological innovation is making the regulatory landscape more complicated to navigate and produce transformative…
Risk premia strategies – Lessons learned for the future
After a difficult 2018, investors are increasingly wary of risk premia, concerned that factors leading to underperformance might be a recurring problem. Imene Moussa, executive director at UBS, clarifies this issue
From memos to texts, algos fish for signals in-house
Hedge funds turn to natural language tools to pry more value out of their analysts’ internal writings
Burden of implementing US sanctions now firmly on energy firms
Energy firms must now screen operations of every vessel they deal with, writes maritime data expert
Funds hunt for the real McCoy in alternative data jungle
Uncorrelated information is a rare species but there are other ways to make funky new data work
Life’s a breach: banks settle uncomfortably into GDPR
A year into exacting data privacy regulation, ramifications are becoming more tangible
The future of operational risk management
As the efficiency of operational risk management remains a top priority and pressure to maximise value increases, emerging technology could prove crucial. Nitish Idnani, leader of oprisk management services at Deloitte, explores how the oprisk management…
Credit data: UK banks hold firm as Brexit looms
The credit status of UK banks remains unchanged, but other industries have seen significant deterioration
Top 10 op risks 2019: data compromise
Big data provides big target for hackers, as banks wrestle with risk of monetary and reputational loss
Banks use machine learning to ‘augment’ corporate sales
Big banks are embarking on massive projects to tie up machine learning and big data to sell better to clients
Honesty is key to machine learning’s future – Roberts
Oxford-Man Institute director on why tomorrow’s models will gracefully admit defeat
Quants say big data is all buzz, no alpha
Efforts to extract alpha from alternative data have been “really unsuccessful”, says Domeyard’s Qi
Quants use AI to cut through murk of ‘sustainability’
Separating the wheat from the chaff is fundamental to ESG investing. Machine learning can do that
Blazing new analytical paths: Tackling data aggregation for new risk insights
As the risk function’s influence continues to grow within financial services firms, demand for quality integrated risk data to support a wider range of business-critical decisions is stretching the capabilities of existing technology to breaking point. A…
Banks bet on data to rescue research
Barclays, Morgan Stanley, UBS among those using data science to pep up their research offerings
HSBC and the risk-advisory robot
Bank has amassed 10-petabyte pool of client data to spot hedging, financing and payments needs
Citizens: tearing up the rule book
Super-regional’s CRO streamlines RBS-era lending rules to speed up credit approvals
