chesely - options and market making team (OMM team) venkat - LN engineering (low latencing ) - primary focus for TS is market making Fan jiang - broken theatre engineering team? - works on post trade operations (working on metrics and option control) ravi muthunoori - manages team Fan is apart of me - one of the responsibilities is to manage the postions in the day
demultiplexer as first projec for chesle
MODEL ENGINEERING
Alex Libman (3 years) - In News Enginerring under the Complex Eng Umbrella (pillar specific). News engineering makes prediction on news data, and they basically build the platform and tooling that news modelers use. Emily Reff - In modeling tools, joined three years ago. Prior in GS in equities and engineering team. Their goal is to build tools and APIS and infrastructure that allow modelers to be effective production and collaborative as possible. Any sort of problem a modeler may run into this team aims to have a tool that solves this problem. Bigger X(? open source tool) Ris Sawyer - Larisa (Manager) (Scoring & Simluation team - help modelers and portofolio managers determine evaluation of models). Started at Fidessa(sp?) on the orders and execution team Monal Garg - Been there for a year. Backend engineer in the apha studio team. Apart of the feature forecasting group, builds a platform so external researchers can work on problems that modelers don’t have problem to work on. Decrease time to market. Build featuers that are inputs to models. First part is the modeling pipeline. Russell Greene (Manager) (Macro & Derivative Engineering team - works with various macro businesses. Macros approximately 1/3rd of the investments. 17 years at the company). Van Le Julian Woo - In Core Life (core life trading systems) - Sits under trading systems int he diagram earlier. Owns the infrastructure… Bunch of data gets digested, fed into models, models produce forecast, and make decisions based on forecasts. This is where the team comes in, aggregates that data and then send it off to TE.
Techniques Engineering (has headcount) - deals specifically with statistical and ML models Quantitative component teams?
Good quant work potentially? - Quantitative components, modeling tools, portfolio management (someone in comments also suggested LN)
Based on all of the teams, areas, managers, SWEs, etc. you heard from, please stack rank your team preferences. E.g. #1 team is Security Eng team, #2 is team that spoke about XYZ work, etc.
- Modeling Tools (Techniques Engineering subgroup if headcount for NewT)
- Quantitative Components (If headcount for NewT)
- Macro & Derivatives Engineering
- Scoring & Simulations
- Order Platform and External Connectivity
- Options and Market Making
- LN Engineering
- Broker Dealing Engineering
- Alpha Studio/Insights
Can you elaborate on the above? Why do you want to be matched to those team(s)?
I have a strong interest in math, numerical problems, & python as well as an interest to contribute to some of the open-source tech stacks that ME uses.
I also have a strong interest in optimizing and potentially using C/C++/Rust in a professional setting, in terms of the TSS teams.
Are there any teams you want to talk to again? E.g. On a 1:1 sell call.
No sell call is required for 1 & 2 on my side.
Would be nice to speak to teams from 3 - 6 if required.