Marek Ramilo: Quantitative Trader and Driveline R&D Analyst

Written By Ian Bach

Season 4 Episode 33 is out with Marek Ramilo. Marek is currently a Quantitative Trader. He is also an R&D Analyst with Driveline baseball working with overall player projections and finishing his degree from the University of Chicago in Financial Mathematics.

Marek graduated from Yale University with a BA in Economics. Marek talks about his time at Yale and explains how he decided to get into trading. Marek explains what exactly a Quantitative Trader does and why it is such an interesting position to be in. 

Marek played baseball in high school but didn’t realize how quantitative theories can help play into overall player progression models until a couple of years ago. Since he has become fascinated with using his ideology within baseball.

Marek talks about how the MLB draft can become so Quantitative based in the future and why two-way players might become the future towards front office organizations.

Time Stamps:

 

Background (1:00)

BA from Yale in Economics

MS from the University of Chicago in Financial Mathematics.

Current profession Quantitative Trader

What exactly is a Quantitative Trader (3:45)

  • What is your role as a Trader? (4:46)

  • Why this goes allowing with Driveline research (5:30)

  • What exactly is a Quantitative Trader? (7:30)

  • Pitch Level Data (9:05)

Josiah Gray Outline (11:25)

School Background (14:10)

  • Yale – Why Economics (14:20)

  • Why did you pick Trading (15:20)

 

Driveline

  • Role within Driveline (21:53)

  • Quantitative theories towards player projections (23:00)

  • Sabermetrics within player development (28:30)

  • Player projection models (34:00)

  • How does your schedule look like working at Driveline and Trading (41:00)

Future of Baseball Analytics (45:00)

  • Analytics towards Player development & MLB Draft (46:30)

  • 2 ways the future of the MLB Draft (50:32)

Moeller Analytics

  • How it started and ongoing process (54:00)

  • Deciding what technology to use (55:00)

  • Technology integration throughout the first year (57:00)

  • What does 2023 look like (58:30)

  • What does the future look like at Moeller (60:00)

  • What is our overall goal or 2-year plan (62:00)

  • Keys to having an analytic organization (71:00)

 

Closing

Ian Bach
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