Articles & Video
21st century finance: How will quants lead the way?
With QuantMinds International approaching fast, we at QuantMinds HQ are very excited to be talking to experts to discuss their upcoming presentations and find out more about their latest research.
Building up accountability in algorithmic credit scoring
The main benefits derived from algorithmic credit scoring are anticipated to focus on increased efficiency and certainty in decision-making associated with granting loans. But there are also limitations...
AI & machine learning applications in FX markets, exotic derivatives, and ESG insights
Session recordings from QuantMinds in Focus, AI & ML day
Through the hedge and backwards - QuantMinds eMagazine Q2 2021
Bringing investment strategies, financial models, and mathematics up to speed
Trust in quant investment strategies: How do you cultivate it?
Why should people trust quant investment strategies?
Spoil the magic: Machine-learning in finance
Every futuristic statement about fintech feels compelled to invoke the incantation of ‘AI & Big Data & Blockchain’. Roald Dahl did say, “those who don’t believe in magic will never find it”, but has the financial services industry lost its unsentimental, hard-headed knack for disbelief?
QuantMinds In Focus: 5 issues on the Quant agenda in 2021
We are running a week of digital summits to focus on the key pillars of quant finance.
From investment strategies to tech and regulation: what did the experts at QuantMinds International say?
What’s being discussed at QuantMinds International? Our speakers joined us for a quick Q&A to talk about key issues in their fields of expertise.
How are quants addressing new regulation and technology?
Quantum computing, AI & ML fairness, IBOR reform
AI explainability and adoption challenges: Thoughts from the AI & ML Summit
What’s standing in the way of artificial intelligence adoption?
From scarce to large data and back: machine learning in finance
Fuelled by data, machine learning methods require an efficient handling of massively large datasets. But what are the challenges posed by datasets themselves?
Fairness in AI and machine learning
How can financial institutions mitigate issues in AI & ML bias and maintain public trust?
The future is bright... for those who survive
Last year we caught up with Marcos Lopez de Prado, talked about his book Machine Learning For Asset Managers, and predicting black swan events.
Derisking AI by design: How to build risk management into AI development
The compliance and reputational risks of artificial intelligence pose a challenge to traditional risk-management functions. Derisking by design can help.
3 trends that will change quants’ future
Few things we learnt from QuantMinds International 2020.
Building the future of quant finance
Key insights from QuantMinds International 2020
Optimising variable annuity reserves through deep hedging
In this white paper we look at an application of the deep hedging approach to a new business problem: optimising reserves that life insurers are required to hold against variable annuity liabilities.
Truly Explainable AI: Putting the “Cause” in “Because”
There are two serious problems with state-of-the-art machine learning approaches.
Model robustification and the future of quant finance: an interview with J.D. Opdyke, Allstate
Were your models caught by surprise when the pandemic hit? J.D. Opdyke, Allstate, explains how he built a robust framework and shares key learnings from this year.
Smart contracts and regulation: the centres of personalised law meet risk management challenges
Smart contracts promise a tailored experience, but what does that mean from a regulatory standpoint?