Big data
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
New directions – Diversification of alternative risk premia strategies
Despite a difficult year, investors remain keen to use alternative risk premia strategies. However, current approaches may be less diversified than they appear, especially given cross-contamination in cash equity factors. According to Nomura, a more…
UBS names group head to advance data push
Swiss bank is known to be exploring commercial potential of client data
AI data could be tainted even as it’s being cleaned
Risk USA: Expert says even touching raw data could lead to loss of context
Man embraces open source in push to lure tech talent
Risk USA: Forget Silicon Valley – come work in finance, hedge fund CRO tells technologists
Trading costs versus arrival price – An intuitive and comprehensive methodology
Craig Niven, managing director, cash equity execution at Societe Generale Prime Services explores how a five‑month study allowed the organisation to develop a market impact model using historical data, and why it is key for clients in the long term to…
At BlackRock’s West Coast AI lab
The firm is handing its ‘most vexing problems’ to artificial intelligence
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
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
Banks look to spin money from their own data
Big banks are tiptoeing forward with datasets for sale despite a host of internal obstacles
AllianceBernstein digs into its own data, looking for alpha
Firm combs through information about its portfolio managers for signs of bias and bad habits
Unlocking value from risk and finance data
For banks facing squeezed margins and increasingly agile competitors, a lack of consistent data quality and insight is a significant hurdle for risk and finance teams trying to transform the organisation. Innovative banks have brought the two functions…
UBS AM joins buy-siders building central data science teams
Data science unit will serve firm’s non-quant investment staff
The evolving relationship between finance and risk
Increased regulatory requirements that are expanding the necessity for chief financial officers to be proficient in regulations and advanced big data analytics have seen the relationship with chief risk officers develop to facilitate co-operation as…
Rise of the cyborgs: tech remakes the front office
Dealers “have no choice” but to change, says UBS’s Orcel – and plenty of changes are coming
Data riches pose new test for risk managers
New quant tools must be balanced with old-fashioned intuition
Quant manager spurns vendors’ machine learning software
Ex-head of algo trading at JP Morgan says machine learning processes should be built internally
JP Morgan data scientist on mining and machine learning
Asset management arm looks to trawl internal data for investment edge
ALM and liquidity risk reporting greatly enhanced by big data applications
Sponsored video: Luis Mataias, IBM Watson Financial Services
Risk management on course to move beyond cost centre
Video Q&A: Neil Dodgson, IBM Watson Financial Services
Regulatory and economic pressures argue for banks to embrace new approaches to technology
Video Q&A: Neil Dodgson, IBM Watson Financial Services