Jaywing have been building AI/ML models to help clients manage fraud and credit risk for several years now. So, I thought it would be worth sharing some thoughts on how our approach differs in practice versus traditional linear methods. Hope this is useful! #fraud #creditrisk #riskmodeling #archetype
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While AI implementation in community banks depends on multiple factors such as regulatory considerations and policies, these technologies offer exciting new opportunities and potential for the financial technology industry. Read our latest blog to learn about following best practices while navigating the complexities of AI adoption. https://lnkd.in/ei5C_53W
AI in Financial Services: Balancing Innovation, Third-Party Risk Management, and Regulatory Scrutiny
https://finosec.com
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Quantitative Analyst | AI & Machine Learning | Risk Management | Quantitative Investing | Software Development
AI is reshaping finance. Pim Poppe and I discuss what this means for your business in our latest column. Don’t get left behind, check it out. #AIAdoption #AIinFinance #AISecurity
#AI is transforming the financial sector in improving predictive #risk assessments, uncovering market trends and optimizing investment #performance. Although these innovations can lead to smarter and more efficient decision-making in risk management, many financial professionals have yet to embrace this revolution. How do we balance the risks and opportunities of AI? And how do we fully utilize what AI has to offer? Read it in our column for the Financial Investigator by Pim Poppe and Kevin Rojer: https://lnkd.in/eEVBbux8
Probability & Partners: Balancing the risks and opportunities of AI
financialinvestigator.nl
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#AI is transforming the financial sector in improving predictive #risk assessments, uncovering market trends and optimizing investment #performance. Although these innovations can lead to smarter and more efficient decision-making in risk management, many financial professionals have yet to embrace this revolution. How do we balance the risks and opportunities of AI? And how do we fully utilize what AI has to offer? Read it in our column for the Financial Investigator by Pim Poppe and Kevin Rojer: https://lnkd.in/eEVBbux8
Probability & Partners: Balancing the risks and opportunities of AI
financialinvestigator.nl
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Dive into the future of financial risk management 🚀 Our recent article provides a comprehensive look at how AI and ML are changing the game for finance professionals. These technologies are not just theoretical advancements but real tools driving efficiency and accuracy on a daily basis. Check out the article and join us in exploring why it's important to keep up with advancements in AI and ML. 🤖 #AIinFinance #MachineLearning #RiskAnalysis #Innovation
Benefits of AI and ML in Financial Risk Management - Scalo
scalosoft.com
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This is worth a read white paper for anyone interested in AI, risk, and modeling.
Modern Risk Management for AI Models
assets.kpmg.com
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72% of UK firms are already using or developing AI/ML applications, and this trend is accelerating at an astonishing pace ⚡ In a feature on Finextra, Nick Sime explores the next generation of risk model development, fuelled by AI/ML. Key learnings you won’t want to miss: - How FinTechs vs traditional financial institutions are approaching this next generation - Whether the principles that underpin the development of traditional models still apply to AI-powered solutions Delve into the article now >> https://lnkd.in/em_5e3Ca #RiskManagement #AI #MachineLearning
Risk Model Development – The Next Generation
finextra.com
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The article provides good use cases for the adoption of AI in risk and compliance. In the next five years, generative AI could fundamentally change financial institutions’ risk management by automating, accelerating, and enhancing everything from compliance to climate risk control. Worth a read! #AI #RiskManagement #Compliance #GenerativeAI
How generative AI can help banks manage risk and compliance
mckinsey.com
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‘In the next five years, generative AI could fundamentally change financial institutions’ risk management by automating, accelerating, and enhancing everything from compliance to climate risk control’. McKinsey's latest article asserts that Generative AI is positioned to catalyze the upcoming surge in productivity within the financial services industry. Amid various challenges like regulatory compliance, financial crime, credit risk, modeling, and data analytics, Generative AI emerges as a transformative force, capable of reshaping banking operations and effectively mitigating risks. Read more here: https://lnkd.in/eky_48be #generativeai #ai #ainews #airisks #airiskmanagement
How generative AI can help banks manage risk and compliance
mckinsey.com
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The #CFTC is gathering info on #AI in financial markets, looking to address risks while avoiding heavy-handed regulation. A new Vital Briefing by WK legal analyst Lene Powell details CFTC oversight on AI -https://lnkd.in/gQip9gsp #derivatives #artificialintelligence #HFT
VB_How-the-CFTC-is-overseeing-AI-risks_05-20-2024_locked.pdf
business.cch.com
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In the latest From the Desk article, Biz2X's Chief Credit Risk Officer elaborates on both challenges and opportunities that embracing AI and alternative data for risk management bring. From data privacy concerns to skill acquisition, navigating this new terrain requires robust governance and a commitment to continuous learning. But the payoff? Innovation, market expansion, and heightened risk assessment accuracy. Read his full analysis in the link below. https://ow.ly/TLWl50QAJR6 #AI #RiskManagement #FinancialInnovation
The Rapid Adoption of AI and Alternative Data in Risk Management - Biz2X
biz2x.com
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