STAC Summit, 21 May 2025, Chicago

STAC Summits

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STAC Summits bring together CTOs and other industry leaders responsible for solution architecture, infrastructure engineering, application development, machine learning/deep learning engineering, data engineering, and operational intelligence to discuss important technical challenges in trading and investment.


WHEN
Wednesday, May 21, 2025
STAC Exchange (Exhibits) opens at 8:30am CDT
Conference starts at 9:00am CDT
Networking lunch at ~12:00pm CDT
Conference concludes at ~4:00pm CDT
Reception immediately following
Register below
WHERE
Convene
311 W Monroe Street
Chicago, IL 60606




Topics tend to cluster in three areas:

  • Quant technology. Architectures for big data and big compute workloads such as AI (ML & DL) model training, strategy research & backtesting, tick analytics, alt data processing, market and credit risk, portfolio optimization, fraud detection, and compliance.
  • Low-latency infrastructure. Architectures for fast decision making and trade execution, primarily in automated trading. Networks, FPGA, servers, software, and other technologies for market data, trading and matching algorithms, execution, and trade-time risk.
  • Command and control. Monitoring of trade flows, time synchronization, and orchestration and management of on-prem and cloud-based infrastructure.

We're currently putting together the agenda for this event.
To see agendas from past STAC Summits, click here.


Register for the event
Seating is limited, so please register today.

Financial Firms
Technologists from trading organizations, such
as banks, brokerages, exchanges, hedge funds,
prop shops, asset managers, etc. can attend for no charge.
Vendor Members & Sponsors
Employees from technology providers, professional services member firms,
and sponsors can register with a code.
Others
Not from one of those, but are interested in
participating in STAC events and networking
with senior financial technologists? Let's talk!

About STAC Events & Meetings

STAC events bring together CTOs and other industry leaders responsible for solution architecture, infrastructure engineering, application development, machine learning/deep learning engineering, data engineering, and operational intelligence to discuss important technical challenges in finance.