machine learning

artificial intelligence, ASIC, blockchain, FCA, ICMA, machine learning, regtech

It’s becoming apparent that technology alone isn’t the answer for regulatory compliance, so what is? We spoke with JWG Group after its annual RegTech Capital Markets Conference to find out…

AQR: machine learning evolutionary, not revolutionary

June 12, 2019

AQR, asset managers, machine learning, portfolio managers

Can machine learning be helpful to asset management – and if so, how? Asset markets fundamentally differ from many of the environments in which machine learning has enjoyed success, and…

Fintech weekly deals and partnerships roundup

HSBC partners with Canada’s Element AI in GBM division HSBC has signed a collaboration agreement with artificial intelligence (AI) software company Element AI to help the bank develop the capability…

Highlights from BIS’ 970-page tome on big data for central banks

June 4, 2019

artificial intelligence, Bank for International Settlements, Big Data, Central Banks, machine learning

Big Data, Technology

Getting the most out of big data and the advanced technologies used to make sense of it is no trivial task for central banks, and in a recently released report,…

Cyber, AI, ESG, fintech among top 10 fears for risk managers

June 3, 2019

artificial intelligence, bigtech, cyber resilience, cyber risk, cybersecurity, ESG, fintech, machine learning, Nedbank, risk management, RiskMinds, Standard Chartered

An article published by RiskMinds outlined the top 10 fears in risk management, and the list reveals many familiar trends that Fintech Capital Markets is seeing as well. Continue reading

Cuemacro: machine learning in focus at QuantMinds in Vienna

June 3, 2019

Uncategorized

Cuemacro, machine learning, QuantMinds, Saeed Amen

The headline panel of the event had some of the best known quants in the industry, Damiano Brigo (Imperial College), John Hull (University of Toronot), Peter Carr (NYU Tandon) and…

ISF: emerging tech in Canada’s seclending industry

June 1, 2019

Canada, CASLA, distributed ledger technology, machine learning, RBC, Securities Lending

In an interview with Global Investor, Donato D’Eramo, president at the Canadian Securities Lending Association (CASLA) and managing director and global head, securities finance at RBC Investor & Treasury Services,…

Quant Insight: what machine learning says about trading Brexit

May 25, 2019

Brexit, machine learning, Quant Insight

In a practical example of using machine learning in investing, Quant Insight presented an analysis in the aftermath of Brexit. Quant Insight is a London based quant analytics firm that…

Machine learning in pricing models raises questions for insurers

May 15, 2019

artificial intelligence, Bank of England, David Rule, insurance firms, machine learning, model risk, pricing models

Excerpts from speech by David Rule, executive director of Insurance Supervision Association of British Insurers Prudential Regulation Seminar, 14 May 2019 For many pricing models, new technology is bringing rapid…

MAS’ Menon details use cases of advanced tech and ASEAN network developments

May 15, 2019

APIs, ASEAN, AXA, BBVA, Blackrock, BNP Paribas, fintech, J.P. Morgan, machine learning, MAS, Mitsubishi UFJ, OCBC, Ping An, Quantum Computing, Singapore, Societe Generale

Excerpts from speech by Ravi Menon, managing director of the Monetary Authority of Singapore, at the Bank of France Lecture, Paris, 14 May 2019. Banks are using technology to resolve…

FISL NYC 2019: what seclending players want from data and tech (Premium)

May 14, 2019

Artificial Intelligence, FISL, Securities Lending, Technology

artificial intelligence, asset managers, automation, Custodians, data analytics, hedge funds, machine learning, SFTR, topstory, vendors

As in many markets, the securities lending industry is tackling challenges in advancing technologies for investment and profitability, said panelists at Finadium’s annual Investors in Securities Lending conference. One panelist…

FISL NYC 2019: prioritizing tech spend in securities lending

May 7, 2019

Automation, Securities Lending, Technology

artificial intelligence, automation, Custodians, FISL NYC 2019, machine learning, topstory, vendors

There’s never enough technology, so the SecFin industry needs to be selective about how and where funds are dedicated, said a panel of custodians and vendors at FISL NYC 2019.…

Reuters: J.P. Morgan applies machine learning to FX trading

May 1, 2019

FX, J.P. Morgan, machine learning

J.P. Morgan has started applying tech that enables machine-trading programs to learn from previous trades and search for the most profitable way to execute them. The broker told Reuters its…

Interview: using deep neural networks for derivatives pricing problems (Premium)

April 26, 2019

Alan Turing Institute, artificial intelligence, Blanka Horvath, deep neural networks, derivatives, Imperial College, machine learning, topstory, volatility

A recent academic paper showed how deep neural networks can be applied to derivative pricing problems, and in a way that appeases regulatory concerns about the use of such advanced…

Financial ML further advanced than expected, N. America and buy-side lead

April 23, 2019

alternative data, buy-side, machine learning, Refinitiv

A survey from Refinitiv asked buy- and sell-side firms across North America, Europe and Asia about their levels of machine learning use and deployment. Refinitiv is the former financial risk…

Eurekahedge: AI/ML funds flat, crypto funds outperforming bitcoin

April 17, 2019

artificial intelligence, crypto fund, cryptocurrencies, Eurekahedge, hedge funds, machine learning

Fund managers using AI/machine learning strategies gained 2.59% in March, bringing their year-to-date returns to 3.93%. Quant strategies continued to fall out of investors’ favor, with the CTA/managed futures mandate…

Applying deep neural networks to derivative pricing problems

April 14, 2019

deep neural networks, derivatives, Ecole Polytechnique, ETH Zurich, Imperial College London, machine learning, risk models, volatility

In an academic paper, Blanka Horvath from the Department of Mathematics at ETH Zurich, Aitor Muguruza from Imperial College London and Mehdi Tomas from Ecole Polytechnique present a consistent neural…

CFO survey shows automation and analytics tops investment priorities

April 12, 2019

artificial intelligence, CFOs, data analytics, Grant Thornton, Intelligent Automation, machine learning, OCR, RPA

Because finance leaders face a burgeoning list of emerging technologies, Grant Thornton set out to understand the top priorities that are shaping their digital strategies. Its 2019 CFO survey revealed…

Synced: quantum-enhanced feature space for ML

April 12, 2019

Argentina’s MercadoLibre closes $2bn public and private offerings MercadoLibre, a Latin American e-commerce technology company, announced the closing of its $1.15 billion public offering, which includes the exercise in full…

Eurekahedge: AI and crypto funds back in black

March 12, 2019

artificial intelligence, cryptocurrencies, Eurekahedge, hedge funds, machine learning

Fund managers using AI/machine learning strategies were up 0.60% in February, bringing their year-to-date returns to 2.96%. The Eurekahedge AI Hedge Fund Index was down 5.26% in 2018. The Eurekahedge…

Fintech weekly deals and partnerships roundup

Medici Ventures takes minority stake in blockchain banking platform Overstock announced its wholly-owned blockchain subsidiary, Medici Ventures, has purchased a 5.1% stake in Bankorus, a blockchain banking platform focused on…

China Daily: PBOC unveils fintech development plan

March 11, 2019

artificial intelligence, China, credit risk, Data, machine learning, PBOC, suptech

China will roll out a fintech development plan and apply the technology more widely to better serve its real economy, said Fan Yifei, deputy governor of the People’s Bank of…

VCs are ploughing money into AI, but are they using it to make decisions?

March 4, 2019

data analysis, machine learning, PitchBook, Venture capital

An interesting survey about venture capital attitudes to data and tech echoes trends in the financial services industry writ large. VC invested some $24.6 billion in AI and machine learning…

McKinsey: derisking machine learning and artificial intelligence

February 20, 2019

artificial intelligence, machine learning, McKinsey, risk management

Although many banks, particularly those operating in jurisdictions with stringent regulatory requirements, have validation frameworks and practices in place to assess and mitigate the risks associated with traditional models, these…

AI-driven ESG indices under construction for Solactive and Truvalue Labs

February 11, 2019

artificial intelligence, ESG, machine learning, NLP, Solactive, Truvalue Labs

Solactive, the German index engineering firm, will collaborate with San Francisco-based AI company Truvalue Labs, intensifying efforts to meet a significant increase in client demand for ESG indices. From its…

Key takeaways for financial services from Cybertech Israel

February 10, 2019

cybersecurity, Cybertech, Insurance Risk, machine learning, Quantum Computing, Zurich Insurance

Transformation is a “magic” word that represents a slew of digital challenges coming down the pipe, which push banks to think about starting from scratch to find the right solutions.…

Mimiro raises $30mn for ML platform analyzing counterparty risk profile

January 31, 2019

Balderton Capital, deep learning, fraud, fundraising, Index Ventures, KYC, machine learning, Mimiro, regtech

London-based Mimiro has raised $30 million from investors to accelerate the global expansion of its machine learning platform for analyzing the risk of financial crime by verifying parties and transactions.…

Feedzai and Data Robot team up for financial crime detection

January 31, 2019

artificial intelligence, data science, DataRobot, Feedzai, fraud, machine learning

Feedzai and DataRobot have partnered to allow banks, merchants, processors, and other financial institutions to incorporate DataRobot machine learning models directly into the Feedzai platform to create a platform for…

Gartner analysis of vendors of data science and machine learning platforms

January 31, 2019

data science, Dataiku, DataRobot, Gartner, Google, IBM, machine learning, MathWorks, Microsoft, vendors

Expert data scientists, citizen data scientists and application developers require professional capabilities for building, deploying and managing analytical models. New vendors to what Gartner names the “magic quadrant”, along with…

ICFC: white paper on AI chips

January 22, 2019

AI chips, artificial intelligence, hardware, machine learning, neuromorphic computing

The AI chips discussed in this white paper mainly include three types: the first one is universal chips that can support AI applications efficiently through hardware and software optimization, such…

STAC’s study on financial NLP a step towards machine learning benchmarks

January 18, 2019

Benchmarks, machine learning, NLP, STAC

The Securities Technology Analysis Center designed a study to illustrate how its benchmarks for machine learning (ML) can be constructed and used. It’s intended to help data scientists and data…

Barclays accelerator grad Seldon raises £2.7m in seed round

January 16, 2019

Barclays, fundraising, machine learning, Seldon

Machine learning deployment startup Seldon announced a £2.7 million ($3.5mn) funding round led by Amadeus Capital Partners alongside Global Brain Corporation, Techstars and other existing investors. Commercial success is being…

DSC: 5 data science predictions for 2019

January 11, 2019

artificial intelligence, Data, machine learning, SNNs

Data Science Central’s predictions for 2019 Prediction 1: Data Becomes More Important Than Algorithms We’re well into the period when having more and better data is the key to success…

FOW: DTCC tech exec tackles myths about robotics

January 9, 2019

artificial intelligence, automation, DTCC, FOW, machine learning, RPA

Artificial intelligence-driven robotics can supercharge massive databases by accelerating the capture, analysis and distribution of their data and enable them to continually learn and improve, writes Gordon Sands, executive director,…

BIS’ Carstens: big tech’s use of ML for credit scoring could disadvantage banks

January 6, 2019

Bank for International Settlements, Big Tech, China, credit, machine learning, People's Bank of China

Excerpts from speech by Agustín Carstens, general manager of the Bank for International Settlements, at the FT Banking Summit, London, 4 December 2018 In contrast to banks, big tech firms…

Lux regulator warns that AI should be explainable by design

January 6, 2019

AI ethics, artificial intelligence, CSSF, explainable AI, Luxembourg, machine learning

Institutions should implement measures to ensure explainability of their artificial intelligence and machine learning systems from the design phase, according to a recent publication from Commission de Surveillance du Secteur Financier…

OCC report warns on operational and compliance risks from tech

December 19, 2018

artificial intelligence, cybersecurity, machine learning, Office of the Comptroller of the Currency, operational risk

Operational risk is elevated as banks respond to an evolving and increasingly complex operating environment, according to a recent report from the US Office of the Comptroller of the Currency.…

Italy’s central bank creates big data, ML and AI unit

December 14, 2018

artificial intelligence, Bank of Italy, Big Data, Central Banks, machine learning

Excerpts from remarks by Salvatore Rossi, senior deputy governor of the Bank of Italy and president of the Institute for the Supervision of Insurance (IVASS) at 29th (EC)2 conference, Big…

Credit Suisse saves $200mn yoy from digitization

December 12, 2018

cloud, Credit Suisse, machine learning, RPA

Credit Suisse said it expects to save CHF200 million ($202.0mn) on operating expenses year-on-year as a result of its digital transformation strategy. Parts of the strategy highlighted in the Swiss…

Dataiku: intro to machine learning interpretability

December 4, 2018

Dataiku, explainable AI, machine learning

Understanding and trusting models and their results is a hallmark of good science. Scientists, engineers, physicians, researchers, and humans in general have the need to understand and trust models and…

Reuters: AWS has its own microchip for machine learning

November 29, 2018

ASICs, AWS, hardware acceleration, low latency, machine learning

Amazon launched a microchip aimed at machine learning, entering a market that both Intel and Nvidia are counting on to boost their earnings in the coming years. Amazon is one…

MathWorks: ML in risk management for forecasting bitcoin volatility

November 26, 2018

bitcoin, machine learning, MathWorks, MATLAB, risk management, volatility