March 31 - April 1 2026 | New York Marriott, Brooklyn Bridge

Decode the Market. 
Build the Future.
Capture the Alpha.

DAY ONE I Tuesday March 31


8:00 am - 8:45 am REGISTRATION AND NETWORKING

8:45 am - 9:00 am Chair’s opening remarks

9:00 am - 9:30 am OPENING KEYNOTE ADDRESS: Machine Learning, Market Risk, and the Future of Asset Pricing

Prof Bryan Kelly - Head of Machine Learning, AQR Capital Management

• Understand the impact of machine learning on empirical finance

• Evaluate where traditional econometrics and AI converge and diverge

• Explore practical implications for systematic investing


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Prof Bryan Kelly

Head of Machine Learning
AQR Capital Management

    Discussion Points:
    • Are current risk models still fit for purpose in an increasingly complex market environment?
    • How do you define "risk" when some of the largest drawdowns come from uncertainty and not measurable volatility?
    • What can active managers learn from behavioural finance to improve portfolio resilience?
    • How is the perception of diversification evolving in institutional investment circles?


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    Aurele Storno

    Chief Investment Officer
    LOIM

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    Daniel J Sandberg

    Global Head of Quantitative Research & Solutions
    S&P Global Market Intelligence

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    Mark Staley

    Former Managing Director and Head of Total Portfolio Risk and Analytics
    CPP Investments

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    George Patterson

    Managing Director and Chief Investment Officer
    PGIM

    Discussion Points:

    • Alternative data for alpha discovery: What's working, what isn't, and how are managers avoiding signal decay?
    • Hype vs. results - where are quant teams seeing material value?
    • Blending systematic models with discretionary insight for dynamic portfolio management - What’s the right balance between human intuition and machine output in today’s portfolio decisions?
    • What recent innovations in data or model design have had the biggest impact on your investment process?
    • How are quant teams rethinking model explainability considering regulatory scrutiny and internal oversight?
    • How are you stress-testing strategies when historical correlations and return assumptions may no longer hold?


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    Amrita Tiwari

    Investment Analytics
    New York Life Investment Management LLC

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    Yuyu Fan

    Principal Data Scientist
    Alliancebernstein

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    Dr Harry Mamaysky

    Co-Founder
    Quantstreet Capital

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    Paul White

    CEO and Co-Founder
    Quantbot Technologies

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    Naim El-Far

    Head of Equities Investment Engineering and AIA Labs
    Bridgewater Associates

    10:50 am - 11:10 am PLENARY PRESENTATION: Systematic Approaches to Opportunistic Trading

    Armando Diaz - CEO, PureStream
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    Armando Diaz

    CEO
    PureStream

    11:10 am - 11:40 am NETWORKING BREAK

    Discussion Points:

    • Share practical examples of multi-asset signal construction and validation

    • Discuss infrastructure needed for cross-asset strategy integration

    • Explore alpha decay and diversification techniques


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    Manju Boraiah

    Global Head of Systematic Fixed Income
    All Spring Global

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    Judith Gu

    Managing Director, Head Equities Quantitative Strategist
    Scotiabank - Global Banking and Markets

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    Jacob Bowers

    Vice President, Multi Asset Quantitative Strats
    Blackrock

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    Matthias Uhl

    Head Analytics & Quant Solutions, Partnership Solutions
    UBS Asset Management

    Discussion Points:

    • Why traditional signal-based models aren’t enough
    • The frameworks, structures, and mindset shifts required to embed decision science into the investment process
    • What defines a great analyst in a decision science world? Beyond credentials—traits like probabilistic thinking, cognitive flexibility, and data curiosity
    • Where discretion fits in, and how the firm ensures accountability and clarity in human-machine collaboration
    • Frameworks for building a culture of structured thinking, analytical humility, and iterative learning

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    Mike Soss

    Co-Chief Investment Officer
    Millburn

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    Frank Ieraci

    Senior Managing Director
    CPPIB

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    Mike Daylamani

    Founding Principle and Head of Synthesis
    Engineer's Gate

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    Andrew Gelfand

    Quant, L/S Equity Alpha Capture
    Balyasny Asset Management LP

    Discussion Points:
    • Understanding the spectrum of quantitative strategies: from pure quant to risk factor-based approaches.
    • Differentiating alpha generation methodologies
    • Harnessing volatility - Portfolio protection techniques including convexity, tail-risk hedging, and scenario stress testing.
    • Role of market data and market risk assessments in enhancing model precision and decision-making.
    • Exploring the rise of quantamental strategies - blending data science with fundamental research to drive next-gen investment approaches.



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    Mayank Saxena

    Hybrid Derivatives Trader Vice President
    Société générale

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    Faheem Osman

    Managing Director, Global Head of QIS Structuring
    Macquarie Group

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    Daniel DeWoskin

    Quantitative Research Manager
    Graham Capital Management

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    Sercan Yıldız

    Director of Analytics Research
    SimCorp

    RiskX Stage Portfolio Construction & Market Risk

    12:20 pm - 1:00 pm KEYNOTE PRESENTATION: Precision Under Pressure: Rethinking Market Risk in a Volatile World
    Sébastien Laurent - Professor of Econometrics, IAE France

    In this keynote, Sébastien Laurent draws on his deep expertise in econometrics to challenge the current state of volatility modelling and explore cutting-edge methodologies for assessing and forecasting conditional risk in complex portfolios.

    Key Topics Covered:

    • Volatility of market risk: structural shifts, clustering, and asymmetric responses

    • Understanding the link between model precision and portfolio robustness

    • The trade-off between complexity and interpretability in high-stakes risk modelling

    • Practical implications of risk misestimation on capital allocation and stress testing


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    Sébastien Laurent

    Professor of Econometrics
    IAE France

    TechX Stage Technology Infrastructure & Execution Systems

    11:40 am - 12:20 pm PANEL DISCUSSION: Re-Architecting the Edge: Building Scalable, Intelligent Front Office Infrastructure
    Revant Nayar - Principal and CIO, Princeton AI and FMI Tech
    Roshan Shah - Head of Front Office and Platform Technology, MIO Partners Inc.
    Alisa Rusanoff - Founder/ Advisory Council Member, Stealth Startup / Ankh Impact Ventures

    Discussion Points:
    • What does a modern front office tech stack look like at scale—and how do you balance modularity with performance?
    • How are you approaching the trade-off between customization and system-wide efficiency?
    • Are there specific architectural principles or patterns you prioritize?
    • How are you leveraging AI/ML to enhance the front office from signal generation to model deployment and execution?
    • How do you future-proof infrastructure against evolving demands from quant teams, regulators, and market shifts?
    • What’s your philosophy on tech-team structure and talent—especially as infrastructure becomes more intelligent and automated?

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    Revant Nayar

    Principal and CIO
    Princeton AI and FMI Tech

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    Roshan Shah

    Head of Front Office and Platform Technology
    MIO Partners Inc.

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    Alisa Rusanoff

    Founder/ Advisory Council Member
    Stealth Startup / Ankh Impact Ventures

    TechX Stage Technology Infrastructure & Execution Systems

    12:20 pm - 12:40 pm PRESO: Cutting edge low latency next generation exchange
    Nicolas Hourcard - Co-founder & CEO, QuestDB


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    Nicolas Hourcard

    Co-founder & CEO
    QuestDB

    TechX Stage Technology Infrastructure & Execution Systems

    12:20 pm - 1:00 pm FIRESIDE CHAT: Scaling for Stability: Building Robust Quant and Risk Infrastructure
    Justin Xu - Chief Quant and AI Officer, MillTech
    Questions:
    • How do you build and maintain infrastructure that’s both resilient and adaptive in the face of evolving market structures?
    • What are the technical challenges of supporting large-scale quant risk models in a clearing context?
    • Can you give a behind-the-scenes look at managing technology risk?
    • Do you have any lessons on how to build scalable, fault-tolerant, and performance-optimized systems for quant research and real-time operations?
    • Can you give insight into how quantitative innovation is enabled and accelerated by the right tech foundations?

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    Justin Xu

    Chief Quant and AI Officer
    MillTech

    Skills Accelerator Masterclass Series Practical to implementation hands-on sessions

    11:40 am - 1:10 pm Financial Trading with cognitive clarity, technical realism and zero hype
    John Thomas Foxworthy - Founder, The Global Institute of Data Science

    This Session Is for You If:

    • You know nothing about AI and want a clear, jargon-free introduction—grounded in market reality, not tech utopia.

    • You know everything about AI but are tired of hype, academic detachment, and ineffective implementations.

    Masterclass Objectives:

    1. Cut through the noise: Understand what AI/ML can do in trading, and where it's often misunderstood.

    2. Explore real-world AI/ML models that work—and why most don’t.

    3. Learn how to validate whether your AI investment is delivering financial impact.

    4. Build a functional bridge between finance, modeling, and machine learning.

    5. Apply critical thinking to AI adoption in financial markets.


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    John Thomas Foxworthy

    Founder
    The Global Institute of Data Science

    Multi-Asset Round Table Discussions

    11:20 am - 12:20 pm COMMODITIES

    Discussion Points:

    1. How are firms quantifying fundamental drivers like inventories, weather, and logistics?
    2. Can satellite imagery, freight flows, and sensor data be reliably used for alpha generation?
    3. What role do commodities play in factor-based and volatility-targeted strategies?
    4. Are machine learning methods improving signal extraction in noisy commodity markets?



    Multi-Asset Round Table Discussions

    12:20 pm - 1:20 pm REAL ESTATE

    Discussion Points:
    1. Can factor models designed for equities and credit be adapted effectively for property markets?
    2. How are institutional allocators quantifying the role of real estate in a broader multi-asset portfolio?
    3. Does real estate still provide genuine diversification in an era of higher correlation with credit, rates, and equities?
    4. Which quantitative models are best suited to capture real estate’s unique characteristics—illiquidity, local market heterogeneity, and non-linear macro drivers?

    1:00 pm - 2:00 pm LUNCH AND NETWORKING BREAK

    TRACKS

    AlphaX Stage Alpha Strategies, Data Intelligence & Alternative Signals

    2:00 pm - 2:20 pm FIRESIDE CHAT: How The Ambrus Group find Alpha in Options Strategies


    AlphaX Stage Alpha Strategies, Data Intelligence & Alternative Signals

    2:20 pm - 2:40 pm PRESENTATION
    Jonathan Kay - Founder and Chief Executive Officer, Apptopia Inc


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    Jonathan Kay

    Founder and Chief Executive Officer
    Apptopia Inc

    AlphaX Stage Alpha Strategies, Data Intelligence & Alternative Signals

    2:40 pm - 3:20 pm PANEL DISCUSSION: Navigating the Next Frontier, Systematic Strategies Across Fixed Income, FX, and Alternatives integration — and where the next edge lies.
    Karishma Kaul - Head of Systematic Fixed Income Strategies, Fidelity Investments
    Muting Ren - Sr PM, Head of Systematic Credit, American Century Investments
    Hamza Bahaji - Head of Financial Engineering, Amundi Asset Management
    Stephan Kessler - Global Head of Quant Research - MD, Morgan Stanley


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    Karishma Kaul

    Head of Systematic Fixed Income Strategies
    Fidelity Investments

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    Muting Ren

    Sr PM, Head of Systematic Credit
    American Century Investments

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    Hamza Bahaji

    Head of Financial Engineering
    Amundi Asset Management

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    Stephan Kessler

    Global Head of Quant Research - MD
    Morgan Stanley

    AlphaX Stage Alpha Strategies, Data Intelligence & Alternative Signals

    3:20 pm - 3:40 pm RAPID FIRE TECH TALKS


    Discussion Points:

    • The role of macroeconomic modelling in stress testing and capital planning and assessing GDP sensitivity and scenario planning under market shocks

    • Challenges in validating econometric models for dynamic policy environments

    • Quantamental Approaches in Model Development

    • Linking model outputs to P&L and strategic asset allocation decisions


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    Harry van Rooy

    Director, Risk Modelling
    Alberta Investment Management Corporation (AIMCo)

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    Robert Teeter

    Chief Investment Strategist
    Silvercrest Asset Management

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    Arun Maheshwari

    Executive Director, Global Head of Model Risk control
    Morgan Stanley

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    Matthias Uhl

    Head Analytics & Quant Solutions, Partnership Solutions
    UBS Asset Management

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    Carlos Arcila-Barrera

    Portfolio Manager and Research Lead
    Sigma Advanced Capital Management

    RiskX Stage Portfolio Construction & Market Risk

    2:20 pm - 2:40 pm PRESO: Portfolio optimization and backtesting with discrete constraints
    Robert Luce - Principal Developer, Gurobi Optimization


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    Robert Luce

    Principal Developer
    Gurobi Optimization

    Discussion Points:
    • How are data-driven approaches outperforming traditional models in newer markets like crypto?
    • What’s the role of ML in crypto markets?
    • How far can AI go before it needs human override in investment decisioning?

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    Nam Nguyen

    Head of Quantitative Trading and Research
    Active Digital Asset Management

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    Tom Costello

    CIO
    Bedrock Digital Assets Management LLC

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    Kathryn Zhao

    Global Head of Electronic Trading
    Cantor Fitzgerald

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    Akhil Khunger

    VP Quantitative Analytics
    Barclays

    RiskX Stage Portfolio Construction & Market Risk

    3:20 pm - 3:40 pm RAPID FIRE TECH TALKS


    TechX Stage Technology Infrastructure & Execution Systems

    2:00 pm - 2:20 pm KEYNOTE: Building AI-Ready Execution Infrastructure at Scale

    TechX Stage Technology Infrastructure & Execution Systems

    2:20 pm - 2:40 pm PRESO: A Context-Engineering Based Knowledge Framework for Quantitative Finance
    Haoxue Wang - Quant, Millennium
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    Haoxue Wang

    Quant
    Millennium

    TechX Stage Technology Infrastructure & Execution Systems

    2:40 pm - 3:20 pm PANEL DISCUSSION: Customization at Scale: Building Front Office Architectures for Performance and Profitability
    Jim Hwang - Co-Founder and Chief Operating Officer, Firinne Capital
    Federico Fontana - Chief Technology Officer, XAI Asset Management

    Discussion Points:

    • Navigating the trade-off between flexibility and maintainability

    • Building elastic systems that respond to shifts in flow, volatility, and client behaviour

    • How firms are balancing infrastructure optimization with bespoke analytics and tooling

    • API-first, interoperable components for OMS/EMS, analytics, risk, and trade lifecycle

    • Using ML agents, LLMs, and automation to deliver custom reporting, real-time recommendations, and adaptive trading strategies

    • How infrastructure modernization directly enables new revenue streams, faster product rollout, and differentiated client experience


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    Jim Hwang

    Co-Founder and Chief Operating Officer
    Firinne Capital

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    Federico Fontana

    Chief Technology Officer
    XAI Asset Management

    TechX Stage Technology Infrastructure & Execution Systems

    3:20 pm - 3:40 pm RAPID FIRE TECH TALKS


    Skills Accelerator Masterclass Series Practical to implementation hands-on sessions

    2:00 pm - 3:30 pm Modern Day Execution and Liquidity
    Armando Diaz - CEO, PureStream
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    Armando Diaz

    CEO
    PureStream

    Multi-Asset Round Table Discussions

    2:40 pm - 3:40 pm EQUITIES

    Discussion Points:

    1. Is there a strategic shift toward credit markets?
    2. How is fundamental analysis evolving and integrating with quantitative insights?
    3. What signals are Portfolio Managers watching across equities and credit?
    4. Are teams becoming more integrated across disciplines (e.g., fundamental + data science)?

    3:40 pm - 4:10 pm NETWORKING BREAK AND REFRESHMENTS

    TRACKS

    Discussion Points:
    • What will the future workforce look like?
    • The rise of hybrid teams—humans and intelligent agents working side by side
    • Will firms design for workforce augmentation or replacement? What’s the cost of getting it wrong?
    • How will leadership models evolve to balance innovation with inclusion and workforce wellbeing?

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    Arun Assumall

    Head of EMEA Commodities
    Macquarie Group

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    Sally Du

    Director, Co-Portfolio Manager, Equities Research
    Blackrock

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    Arnab Sen

    Global Macro Portfolio Manager
    Paloma Partners

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    Oliver Scharping

    Senior Portfolio Manager
    Berenberg Asset Management

    Discussion Points:
    • How are firms making macro and organizational-level decisions to engage market risk and position themselves for consistent alpha generation?
    • What are the most effective ways to integrate fundamental and macroeconomic data into quantitative models? How do you balance traditional indicators with alternative datasets?
    • How is AI helping bring greater evidence, transparency, and discipline into alpha generation? Where are we seeing the most impactful applications today?

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    Arun Daniel

    Head of Equity Strategies & Portfolio Manager - US and International Equities
    American Century Investments

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    Wangshu Yang

    Portfolio Manager and Research, QIS Alternatives
    Goldman Sachs Asset Management

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    Dmitry Novikov

    Head Of Equity Research
    Franklin Templeton

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    Rahul Gupta

    Quantitative Research and Trading
    DRW

    RiskX Stage Portfolio Construction & Market Risk

    4:10 pm - 4:30 pm PRESO: Modern Portfolio Construction and Execution: Where Mathematics Meets Machine Learning
    Petter Kolm - Professor, Courant Institute of Mathematical Sciences, New York University

    Key Topics Covered:

    • How advanced machine learning is improving short- and medium-term return forecasts, volatility modelling, and regime detection

    • Incorporating predictive models into asset allocation while managing slippage, liquidity, and real-world frictions

    • Extracting structured signals from unstructured data, news, earnings calls, filings, and social media, to enhance portfolio insights

    • Frameworks for deciding when and how to deploy ML, LLMs, or agentic AI—balancing interpretability, speed, complexity, and impact

    • Organizational readiness -considerations in deploying next-gen AI in investment workflows

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    Petter Kolm

    Professor, Courant Institute of Mathematical Sciences
    New York University

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    Chirayu Gulati

    VP - Electronic Trading Risk Manager
    Barclays Investment Bank

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    Alexander Levin

    Chief Investment Officer
    Plettenberg Capital

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    Said Djebbar

    Executive Director, Risk Management, Asset Management
    Waha Capital PJSC

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    Diego Parrilla

    Chief Investment Officer
    Quadriga Asset Management

    TechX Stage Technology Infrastructure & Execution Systems

    4:10 pm - 4:30 pm PRESO: Customization at Scale: Building Front Office Architectures for Performance and Profitability
    David Wood - Chief Quantitative Strategist and Co-Chief Technology Officer, Brooklyn Investment Group


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    David Wood

    Chief Quantitative Strategist and Co-Chief Technology Officer
    Brooklyn Investment Group

    TechX Stage Technology Infrastructure & Execution Systems

    4:30 pm - 5:10 pm PANEL DISCUSSION: Infrastructure for LLMs in Quant Trading
    Sujit Khanna - VP, AI Solutions, Cross River Bank

    Discussion Points:
    • Discuss infrastructure design and resource management
    • Share risks and bottlenecks discovered post-launch
    • Explore ROI and observability tools used

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    Sujit Khanna

    VP, AI Solutions
    Cross River Bank

    Skills Accelerator Masterclass Series Practical to implementation hands-on sessions

    4:10 pm - 5:40 pm Advanced Risk Management Techniques – From Dimensionality to Regularisation
    Sébastien Laurent - Professor of Econometrics, IAE France


    This in-depth technical masterclass is designed for quants, risk analysts, and portfolio managers looking to elevate their modeling skills for market risk management. Sébastien Laurent leads a hands-on session focused on the practical implementation of advanced techniques in volatility modeling, dimensionality reduction, and time-varying systems.

    Key Concepts Discussed:

     Estimating and evaluating conditional variance dynamics using modern econometric tools

     Addressing dimensionality in risk models: factor selection, shrinkage, and feature extraction

     Implementing regularisation techniques for robust portfolio and factor modeling

     Working with time-varying parameter models: stability, responsiveness, and predictive power

     Developing precision metrics for model validation and out-of-sample performance

    Format & Structure:

     Interactive lecture format

     Use of case studies and real-world datasets (financial time series)

     Live Q&A and peer discussion of implementation challenges

    Target Audience:

    Quantitative analysts, risk managers, academic researchers, portfolio quants, and model validation teams


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    Sébastien Laurent

    Professor of Econometrics
    IAE France

    Multi-Asset Round Table Discussions

    4:10 pm - 5:10 pm FIXED INCOME

    Discussion Points:

    1. How are systematic fixed income strategies adapting to a post-zero interest rate world?
    2. What role can alternative and high-frequency data play in enhancing alpha generation in fixed income?
    3. How are machine learning and AI techniques being applied in fixed income compared to equities or commodities?
    4. How are quant teams managing liquidity, execution, and transaction cost modeling in fixed income markets?

    5:10 pm - 5:50 pm PLENARY CLOSING KEYNOTE INTERVIEW: The Intelligent Edge: Information, Uncertainty, and the Future of Active Investing

    Kenneth Blay - Head of Strategic Research, Strategy & Insights, INVESCO


    Discussion Points:
    • Reconsider the practical and theoretical ideas that have shaped modern asset management and contemporary views on active and passive investing
    • Revisit key insights from 20th century visionaries in economics, finance, mathematics, and computing that are increasingly relevant to the future of portfolio management
    • Understand the role of different types of information in managing returns, risk, and uncertainty
    • Explore the implications of artificial intelligence and other innovations for active investment management

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    Kenneth Blay

    Head of Strategic Research, Strategy & Insights
    INVESCO

    5:50 pm - 7:00 pm Networking Drinks Reception & FutureX Awards

    Designed for Quants and voted for by Quantitative Strategists - Join us for a few drinks as we reveal who the Top 10 innovators, globally


    7:00 pm - 10:00 pm After Party: Reception Cruise or Shuffleboard Social

    Places are limited, please book fast.

    If you didn't make a selection during the registration process and would now like to attend, please email info@alphaevents.com with your preference.