Agenda Day 1

8:00 am - 8:30 am Registration and Networking

8:30 am - 8:40 am Chairs Opening Remarks

8:40 am - 9:10 am Digesting data into the machine of Man

James Munro - Head of ArcticDB, Man Group

With more data available now than in any time in human history, how do we cope with it, make sense of it and most importantly, action it. This presentation focuses on how this is managed from a technical, operational and human level to answer the following questions: 


Technical – how much data and what types of it can an organisation realistically manage computationally? 


Operational - how can an organisation prepare and maintain operational preparedness so that the back-office wheels keep turning 


Human – how much can the human brain take? How much data, insights and conclusions can we comprehend and action? 

img

James Munro

Head of ArcticDB
Man Group

With over 50 elections taking place in the year of 2024 and this event occurring on the eve of the US election (definitely) and the UK election (probably), wars taking place across the globe and a fragile and disrupted global economy, this panel takes a look at what this all means for the investment landscape and your portfolios, by centering the discussion around the following key themes... 


  • Constructing and managing a portfolio in the current climate, limiting risk exposure and capitalising opportunities 
  • Analysing what asset classes perform in an unpredictable market, are non-traditional assets the key to unlocking Alpha? 
  • Unchaining portfolios and funds from the over-reliance on the tandem movement of equities and bonds 
  • Onboarding and embedding the most cutting-edge technologies to improve fund performance and generate Alpha 


img

Amadeo Alentorn

Head of Systematic Equities
Jupiter Asset Management

img

Florian Lelpo

Head of Macro and Mult-Asset Portfolio Manager
Lombard Odier Investment Managers

img

Igor Yelnik

CIO and CEO
Alphidence Capital

img

Marc Vesecky

Senior Managing Director, Quantitative Strategies
Verition Fund Management

10:00 am - 10:30 am The Institutional Investor Insight: Selecting a fund manager

Michael Steliaros - Global Head of Portfolio Engineering and Trading, ADIA

This presentation will give an insight into what exactly an institutional investor looks for and conversely, avoids, when selecting a fund manager. 


The session will give a unique perspective from the ‘’other side of the table’’ for fund managers in understanding what criteria a large institutional investor measures their credentials on when it comes to managing their money.  


  • Is it track record?  
  • Is it the people?  
  • Is it the infrastructure? 

Or all of/none of the above? 

img

Michael Steliaros

Global Head of Portfolio Engineering and Trading
ADIA

10:30 am - 11:00 am Intersections, integrations and applications – from idea to execution

This fireside chat will be centred around streamlining functions and processes within organisations and will cover the following key internal stakeholder relationships critical to enhancing investment decision making and ultimately, executions. 


  • Streamlining decision making between data, quant and investment functions to get usable data into quants hands at pace and the analytics into the investment managers in trays to construct, manage and optimise their portfolios. 
  • Building long term partnerships between researchers and engineers to turn ideas into useable investment tools 
  • Integrating systematic and fundamental thinking across asset classes, merging the capabilities of man and machine to improve fund performance 


11:00 am - 11:40 am Networking Break

11:40 am - 12:20 pm First things first: Data sourcing and strategy – what are we looking for?

Mark Fleming-Williams - Head of Data Sourcing, Capital Fund Management (CFM)

This panel, made up of those responsible for selecting and purchasing for their respective organisations, will share their insights, experiences, successes and issues as well as their overall view on how the data market is and operates. 

 

The panel will be centred around the following topics 

  • What do data sourcing professionals actually look for when selecting data sets and vendors? 
  • Are the days of a one stop shop for your data needs over? Is it now more common to use multiple vendors for a niche purpose? 
  • What trends are you seeing in alt data, does it still have a big future? Is the ecosystem still growing as fast as it was five years ago?  
  • What actually is a good price for data? 


img

Mark Fleming-Williams

Head of Data Sourcing
Capital Fund Management (CFM)

12:20 pm - 12:45 pm 5x5: QUICK FIRE PRESENTATIONS

This part of the programme will consist of 5, 5-minute presentations with each presenter showcasing how their data offering, platform, software or tool which can give you the edge in an increasingly competitive market. 

12:45 pm - 1:00 pm Creating a workable pipeline from data to portfolio decisions

This masterclass will be focused on the next, but arguably more important step, after you’ve mined or purchased a data set, how do you onboard it and use it to make portfolio decisions? 

 

This session will focus on the operational and technical infrastructure necessary to onboard and use data sets from different sources, providers and vendors alongside the following ‘’types’’ of data 

  • Text data and numeric data 
  • Alternative data and traditional data 
  • Raw data and semantic data 
  • Structured and unstructured data 

1:00 pm - 2:00 pm Networking Break

  • Exploring the actual use cases of ML, is its ceiling internal use to enhance day to day tasks or is it being used to generate Alpha? 
  • Analysing the capabilities of ML and how to onboard it in areas where it can genuinely outperform humans 
  • Democratising ML capabilities within an organisation to raise productivity levels across the board 
  • Ascertaining if and how ML can be used in conjunction with capabilities such as AI, NLP and LLMs  


img

Tobias Hoogteijling

Quant Researcher
Robeco

img

Barry Fitzgerald

Co-Head of Front-office Engineering
Man Group

img

Alex Remorov

Director, Systematic Active Equities
BlackRock

  • Where do NLPs and LLMs offer the most value to an organisation? 
  • What are the specific NLP and LLM techniques used and are they more useful in certain asset classes than others? 
  • How are risks around the source of the text, the model which it has been trained on and the sometimes inconsistent reproducibility managed? 
  • Are developments in sentiment scanning a game changer in this space, or another risk? 


img

Rajnish Kumar

Head of Investment Technology and AI
Allianz Global Investors

img

Nick Mutsaers

Quant Researcher
Robeco

img

Nicole Königstein

Chief Data Scientist, Head of AI & Quant Research
Wyden Capital AG

img

Revant Nayar

Principal and CIO
Princeton AI and FMI Technologies

Track B: Alpha Generation – Portfolio construction and management

2:00 pm - 2:40 pm Portfolio construction and optimisation across a diverse global terrain
Farida Mustafazada - Senior Quantitative Researcher, GAM Systematic
Ole Jorgensen - Director of Research, Global Evolution
Federico Fontana - Chief Technology Officer, XAI Asset Management
  • Is building and maintaining a portfolio across asset classes, geographies and regimes firstly, possible and secondly, desirable? 
  • How can an organisation or manager operationally manage a multitude of nuanced markets and what opportunities present? 
  • How much diversification is ‘’too much’’ diversification? 
  • Are there common threads and themes across markets which outwardly appear fundamentally different? 


img

Farida Mustafazada

Senior Quantitative Researcher
GAM Systematic

img

Ole Jorgensen

Director of Research
Global Evolution

img

Federico Fontana

Chief Technology Officer
XAI Asset Management

Track B: Alpha Generation – Portfolio construction and management

2:40 pm - 3:20 pm Anticipating scenarios for known knowns, known unknowns and unknown unknowns
Hamza Bahaji - Head of Financial Engineering, Amundi Asset Management
Heiko Bailer - Head of Quantitative Investments & Research, LBBW AM

With climate risks worsening, ongoing wars with no end in sight, regular economic shocks and entrenched instability alongside an array of increasingly unpredictable elections, how can you effectively stress test your portfolio to navigate such uncertain times? 

img

Hamza Bahaji

Head of Financial Engineering
Amundi Asset Management

img

Heiko Bailer

Head of Quantitative Investments & Research
LBBW AM

Track C: Alpha Generation – Exploring alternatives to equities

2:00 pm - 2:40 pm Crypto liquidity, market structure and politics
Xander Savenberg - CIO, Bastion Asset Management
James Butterfill - Head of Research, CoinShares
  • What is happening in the crypto space and why does this asset class divide opinion like no other? 
  • Are traditional predictive and trend following models effective in the crypto market 
  • Exploring the specific operational and regulatory constraints and risks in this market and how they can be managed 
img

Xander Savenberg

CIO
Bastion Asset Management

img

James Butterfill

Head of Research
CoinShares

This panel is made up of practitioners from across the fixed income landscape and will be focused on the following topics: 


  • How can fundamental and systematic processes be integrated in this space? 
  • What are the particular applications of ML, AI, NLP and LLMs when it comes to fixed income? 
  • What are some of the nuances, challenges and opportunities when it comes to trading this diverse yet unique asset class? 
img

Justin Xu

Managing Director - Head of Risk
Millennium Global Investments

img

Kimiya Minoukadeh

Director - Head of eFX Quants
ING

img

Hamza Chaudhry

Fixed Income Quantitative Researcher
AllianceBernstein

img

Joe Hanmer

Global Head of Quant
Fidelity International

3:20 pm - 3:50 pm Networking Break

Track A : Alpha Generation - Innovation

3:50 pm - 4:20 pm Assessing the value of Generative Ai in streamlining business processes
Tim Mace - Head of Data and Machine Learning, Man Group
  • Which elements of the research process can Gen.Ai add value? 
  • How can Gen.Ai assist in content processing and extraction at scale? 
  • What are the practical realities of applying and onboarding Gen.Ai and how are the pain points overcome? 
  • How can existing tools withing an organisation work in conjunction with Gen.Ai? 


img

Tim Mace

Head of Data and Machine Learning
Man Group

Track B: Alpha Generation – Portfolio construction and management

3:50 pm - 4:20 pm Attracting and retaining the best talent

You can have the best data, models and infrastructure in the world but if you don’t have the right people in the right places, then any fund, big or small, is severely limited. This talk focuses on building and maintaining a high performing team and will focus on the following areas: 

  • The talent pipeline – what do young data professionals, quants and aspiring portfolio managers actually want? 
  • What keeps a team motivated and performing? Is it more than money? 
  • How can data, quant and investment functions be streamlined so that everyone is singing from the same hymn sheet 


Track C: Alpha Generation – Exploring alternatives to equities

3:50 pm - 4:20 pm Applying quantitative methods and strategies to the private asset space
Shuang Kang - Head of Portfolio Management, Klarphos

With investor appetite in the private asset market riding high, signalled by significant growth in both deal flow and the raising of capital, this session explores the potential opportunities, exposures and risks in this space and how it compares to the more familiar public equities and bond markets 

img

Shuang Kang

Head of Portfolio Management
Klarphos

Join one of 8 roundtable discussions to exchange ideas, challenges and solutions on key themes within Quant Investing with your peers, over a glass of bubbly. 

Birds of a Feather

Roundtable 1

4:20 pm - 5:00 pm Determining the optimal asset allocation across different regimes and asset classes

Roundtable 2

4:20 pm - 5:00 pm Applying LLMs and NLPs to extract the most value from text sources

Roundtable 3

4:20 pm - 5:00 pm Operationally onboarding unstructured data sets and making them usable and actionable

Roundtable 4

4:20 pm - 5:00 pm Trading in the alternative asset space – what's new?

Roundtable 5

4:20 pm - 5:00 pm Building a robust multi-scenario risk model for a diverse portfolio

Roundtable 6

4:20 pm - 5:00 pm Talent retention – what keeps your team happy and motivated?

Roundtable 7

4:20 pm - 5:00 pm Streamlining internal stakeholder relations across data, quant and investment functions to improve fund performance

Roundtable 8

4:20 pm - 5:00 pm Unlocking new sources of alpha through alternative data sources

5:00 pm - 5:40 pm CLOSING KEYNOTE FIRESIDE CHAT

A unique opportunity to join leading figures from a variety of backgrounds and experiences to discuss their views on the key trends and themes throughout the day, where the market is and where they see it going over the next 6 – 12 months taking us through to the halfway point of what has already been an unprecedented decade. 

5:40 pm - 6:40 pm Drinks and Networking Reception