Quant Research Solutions @Bloomberg. Interested in #AltData, #ML, #QuantitativeTrading. All views are mine.
New York, USA
Joined May 2017
- Tweets154
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Arun Verma retweeted
In today's #Ai42026 talk (3:50 PM PDT), @ArunVermaQuant examines how #GenAI has become quite popular in #QuantitativeFinance for information extraction, signal discovery & time-series analysis - in particular to impute companies' geographical risk exposure
bloom.bg/4fOmTCi
Arun Verma retweeted
At @Bloomberg, we don't just build with #opensource — we contribute to it. Huge congrats to #QuantFinance Researcher Florian Bourgey from our Office of the CTO on being named a #SciPy maintainer. 50+ high-quality PRs. Real impact. Well deserved. 🙌
bloom.bg/4oibCOP
Arun Verma retweeted
Tune in next Wednesday, May 27 (5:30-7 PM EDT) for a livestream of this month's @Bloomberg #Quant (BBQ) Seminar, featuring a keynote by @CUSEAS' Ali Hirsa on the challenges of keeping asset management models stable over time + lightning talks
bloom.bg/3RnXrv9
#QuantFinance
ALT Ali Hirsa is a Professor and director of the Columbia Center for Artificial Intelligence in Business Analytics and Financial Technology and director of the Financial Engineering Program in the Industrial Engineering & Operations Research Department at Columbia University.
Arun Verma retweeted
The crowds are speaking—are you listening? 🗣️
Event-driven markets move fast. If you want to know exactly what’s capturing the market's attention right now, you need to look at the data.
Introducing MOSP<GO> on the Bloomberg Terminal. We aggregate prediction market data from @Kalshi and @Polymarket, weighted by price and volume, so you can see where the crowd is putting its attention.
Search by keyword to cut through the noise and track the markets that matter:
🗳️ Elections: Monitor the 2026 Midterms, Senate control, and early 2028 nominee odds.
🏦 Macro & Policy: Track Kevin Warsh’s odds for Fed Chair and complex economic scenarios.
🌎 Geopolitics: Follow global events, from European mayoral races to Iran
Arun Verma retweeted
💡 From inflation estimates to earnings alerts, discover the data-driven breakthroughs developed with BQuant Enterprise at Bloomberg’s Code Crunch.
Access the full report ➡️ bloom.bg/4pMgStp
Arun Verma retweeted
At #Ai42025 today, @ArunVermaQuant explores why generative #ML methods are well suited for estimating point values & uncertainty -- and are therefore becoming more popular for financial data imputation & forecasting asset prices
bloom.bg/4olTnr4
#QuantFinance #MLinFinance
Arun Verma retweeted
ARC-AGI-2 is our next iteration of ARC-AGI
It is designed to stress test the efficiency and capability of state-of-the-art AI reasoning systems
Read more about ARC-AGI: arcprize.org/arc-agi
Arun Verma retweeted
With #MCP, @Bloomberg isn’t just modernizing its own #GenAI infrastructure — it’s accelerating how financial intelligence is delivered & empowering financial professionals with smarter, faster, #AI-powered tools in a rapidly evolving industry
bloom.bg/44KO7Er
Arun Verma retweeted
We’re excited to announce @Bloomberg's Visiting Faculty Program, a unique chance to collaborate with our researchers on #AI for #finance & tech. Gain access to world-class data & have real-world impact.
Apply for sabbaticals & part-time roles: bloom.bg/42yDcOh
#research
Arun Verma retweeted
In "Understanding & Mitigating Risks of Generative AI in Financial Services," authors studied existing guardrail solutions, found them insufficient in detecting domain-specific content risks & proposed the 1st finance-specific #AI content risk taxonomy
#ResponsibleAI #GenAI
(1/7)
ALT Read the whole "Understanding & Mitigating Risks of Generative AI in Financial Services" paper at https://assets.bbhub.io/company/sites/51/2025/04/arXiv-Understanding-and-Mitigating-Risks-of-Generative-AI-in-Financial-Services-FINAL-4-25-25.pdf.
Arun Verma retweeted
Let’s examine the findings in @Bloomberg’s “RAG LLMs Are NOT Safer” paper:
It reveals that #RetrievalAugmentedGeneration (RAG) frameworks can *actually* make #LLMs less safe! Even “safe” #AI models combined with “safe” documents can produce “unsafe” outputs
#ResponsibleAI
(1/7)
ALT Read the whole "RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models" paper on arXiv at https://arxiv.org/pdf/2504.18041.
Arun Verma retweeted
#AI researchers at @Bloomberg released two papers that have significant implications for how organizations deploy #GenAI systems safely & responsibly, particularly in high-stakes domains like capital markets financial services
bloom.bg/4lPA2gF
#ResponsibleAI #AIinFinance
Arun Verma retweeted
Researchers in @Bloomberg’s #AI Engineering group, Data AI group & CTO Office published two papers which expose significant risks in the use of #GenAI systems.
In this video, @sebgehr, Head of #ResponsibleAI, explains their findings:
Read more: bloom.bg/4lP6b8j
Arun Verma retweeted
Announcing ARC Prize.
A $1M+ competition to beat the ARC-AGI benchmark and open source the solution.
Hosted by @mikeknoop & @fchollet.
arcprize.org
Arun Verma retweeted
NeuralBeta: Estimating Beta Using Deep Learning arxiv.org/abs/2408.01387 #QuantLinkADay
Arun Verma retweeted
🔔 New Research Idea! "Generative Machine Learning for Multivariate Equity Returns"
This paper examines the effectiveness of ML/DL, particularly conditional importance-weighted autoencoders in modeling equity returns.
My sum up in under 3 min: 👇
Arun Verma retweeted
At the Research in Options: RiO 2023 conference @FGV in Brazil today (12 PM BRT), Bruno Dupire will deliver a talk about how "Signatures in Finance" can be used to speed up the computation of #VaR
bloom.bg/47Jtusw
#QuantitativeFinance #QuantFinance #AppliedMathematics
Arun Verma retweeted
Today, @FGV's Research in Options 2023 conference (3:30 PM BRT), #QuantitativeFinance Researcher Mohammad Fesanghary will present a novel, less computationally intensive algorithm for Causal Structure Learning in nonlinear time-series systems
bloom.bg/3uQ1zZr
#QuantFinance
Arun Verma retweeted
Researchers from @Bloomberg's #AI Engineering Group co-authored 4 papers at @emnlpmeeting in Singapore this week; learn more about their research, why the results are notable, and how their work will advance the state-of-the-art in #nlproc
bloom.bg/3GTbK2p
#EMNLP2023
Arun Verma retweeted
At the 19th #QuantitativeFinance Conference today (12 PM WEST), Achintya Gopal, #ML #Quant Researcher from the Quantitative Research group in our CTO Office, will discuss the efficacy of using modern ML methods to model equities' returns
bloom.bg/46mZuSl
#MLinFinance