Overview
Join us on October 16 at the Bloomberg Sydney office for an exclusive dialogue on the global trends and technological innovations set to redefine investment strategies in 2026 and beyond. We’ll dissect pivotal macroeconomic shifts and uncover new alpha opportunities arising from monetary policy divergence — and we’ll demonstrate how to translate these insights into actionable strategies using BQuant Enterprise.
Gain unique perspectives from global domain experts flying in from Bloomberg’s CTO offices in London and New York, including:
- Harnessing cloud architecture to power next-generation quantitative research
- The evolution of asset managers towards a process-driven approach, propelled by NLP and machine learning
- Pushing the frontiers of investment workflows for the next five years
The event will also feature a lively panel discussion on applying AI and systematic strategies to modernize investment workflows.
Discover how you and your team can accelerate research, backtesting, and alpha generation.
Secure your spot now.
This event will be off the record.
Agenda
- 4:30 – 5:00 pm
Guest Arrivals & Registration
- 5:00 – 5:10 pm
Welcome Remarks (Virtual)
Shawn Edwards, Chief Technology Officer, Bloomberg- 5:10 – 5:30 pm
Case Studies: NLP and ML in Investment Workflows
Runeet Kishore Phd, BQuant Enterprise Product Manager, Bloomberg- 5:30 – 5:40 pm
Inside the BQuant Platform: Frameworks, Environments and Apps
Carolina Hoffmann-Becking, Global BQuant Engineering Manager, Bloomberg- 5:40 – 5:55 pm
Live Demo and Integration
Carolina Hoffmann-Becking, Global BQuant Engineering Manager, Bloomberg- 5:55 – 6:25 pm
[Panel] The Future of Systematic Investing: Data, Models & Beyond
- Siddharth Johri, Founder and CIO, Cognition Capital
- Kylie-Anne Richards, PhD, Head of Investment Research, Future Fund
- Wang Chun WEI, PhD, Quantitative Portfolio Manager, RQI Investors
- Runeet Kishore, PhD, BQuant Enterprise Product Manager, Bloomberg
- Soujit Ghosh, APAC Lead for Equity Derivatives, Bloomberg (Moderator)
- 6:25 – 6:30 pm
Closing Remarks
- 6:30 – 7:30 pm
Networking Reception
Speakers
Siddharth Johri
Siddharth Johri is the Founder and CIO of Cognition Capital, a new Asia-focused systematic long–short equity fund applying advanced machine learning and AI. Based in Sydney, he previously led Systematic Fundamentals at Optiver, where he built and scaled ML-driven equity strategies end to end. Earlier, Siddharth was a top-quintile Portfolio Manager at Allianz Global Investors in Hong Kong, running India and Asia ex-Japan mandates. He has held senior roles at HSBC, J.P. Morgan and Citigroup covering Asian equities with a focus on India. Siddharth holds degrees from XLRI School of Management and the University of Delhi.
Kylie-Anne Richards, PhD
Kylie-Anne is also a tenured Senior Lecturer at the University of Technology Sydney, teaching and researching sustainable finance, the energy transition, artificial intelligence, digital-asset markets and computational and quantitative finance. Her work has been published in journals such as Energy Economics, Annals of Actuarial Science, International Journal of Financial Engineering, Global Finance Journal and she regularly presents at academic and practitioner conferences.
She frequently contributes to public discussions on transition risk, fixed income markets, and AI in finance, and has been featured in Bloomberg Green, The Conversation, and AusBiz. Kylie-Anne holds a PhD in Mathematics and Statistics from UNSW.
Wang Chun WEI, PhD
Carolina Hoffmann-Becking
Carolina leads the Global Cloud Architects team within BQuant Engineering. She owns BQuant Platform Integration as a product, enabling clients to bring their own data, code, and models into the BQuant platform. In addition, her team drives strategic initiatives on the BQuant Platform Roadmap in close collaboration with the Product Team in Bloomberg’s CTO Office.
Josh Schechtman
Josh Schechtman is a Quantitative Solutions Developer, looking after our API and quant research strategy for Oceania. Josh has been with Bloomberg for 7 years, joining our office in Australia in 2019, after starting his career in New York. Josh engages with clients throughout the APAC region to prototype, implement and scale multi-asset systematic research strategies, involving traditional and cutting edge technologies such as programmatic API access, cloud compute, and LLMs.
Runeet Kishore, PhD
Leveraging his systematic investment, trading, and research expertise in global equity, and multi-asset strategies, Runeet is responsible for products that deliver enterprise-level systematic investment workflows for asset managers, asset owners, and QIS desks.
Prior to joining Bloomberg in 2022 as a Senior Quant Researcher in BQuant Research, he spent 14 years in senior portfolio management, research, and investable indices roles at global asset managers (BlackRock, Alliance Bernstein, Clinton Group), and banks (Bank of America Merrill Lynch, Barclays).
He holds a Ph.D. in Finance from Duke University’s Fuqua School of Business, with a widely cited PhD thesis. He earned an undergraduate degree from the Indian Institute of Technology (IIT) – Delhi, graduating at the top of his class with the Institute Director’s medal. Runeet is also an inventor, and is listed on the United States Patent No. US11972482 B2 on intraday futures trading strategies (patent held by Bank of America Merrill Lynch).
Soujit Ghosh
Soujit Ghosh is the APAC Lead for Equity Derivatives as part of the Bloomberg Market Specialist Team, leading the development, promotion, and strategy of multi-asset solutions—spanning Equities, ETFs, and Digital Assets. Based in Sydney since 2023, he previously worked in Bloomberg’s Hong Kong office after joining the company in 2021.
Before Bloomberg, Soujit spent over two decades as an Equity Derivatives Trader across major financial centres including London, Hong Kong, and Seoul. He held senior trading roles at firms such as JPMorgan and Nomura, and began his career at Goldman Sachs in London.
Soujit holds a BA and MEng in Chemical Engineering from the University of Cambridge and a Master’s degree in Statistics from Harvard University.