Mayur Thakur

Managing Director, Bank of America · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

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Mayur Thakur is a technology executive who applies big data and machine learning to build compliance surveillance platforms at major financial institutions. He previously served as Managing Director at Goldman Sachs, Chief Data Officer at H1, and worked as an engineer developing search algorithms at Google.

9statements → 5claims → 0claims resolved → 3.89/5average certainty → 1.56/5average debate potential →

5 not checkable as stated how the 5 claims stand · each chip opens the sources

5 assertions · 1 opinion · 1 insight · 2 disclosures · every statement was checked. The predictions and assertions are the 5 claims: statements the public record can support or contradict. 0 are resolved, and 5 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Mayur argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

How they sound: speaking style how? →

276 words/min while actually speaking · 43.4 um and uh per 1k words

No argument clarity score for Mayur Thakur: no usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 3,891 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

What they said9 Episodes1

Everything Mayur Thakur said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Opinion

Thakur avoids buzzwords like NLP and machine learning in system design

“Notice I did not quite use buzzwords like NLP, or deep learning, or data science, or machine learning, which I could very well have used, but I don't think it's that useful.”

Mayur Thakur Dec 19, 2017 ▶ 14:43 Surveillance Platform for Banks // Mayur Thakur, Goldman Sachs (FirstMark's Data Driven)

Disclosure

Goldman Sachs targets 95% recall and 20% precision for compliance surveillance

“And we generally hold ourselves to, you know, It's a very recall-driven, if people know what that means, but I'll describe quickly what it means. It's like, the, we want to catch a lot of things that we should be catching, like, 95% of that, right? The more th…”

Mayur Thakur Dec 19, 2017 ▶ 22:58 Surveillance Platform for Banks // Mayur Thakur, Goldman Sachs (FirstMark's Data Driven)

Insight

Detecting market manipulation is essentially a database joining problem

“A problem about manipulating the market comes down to a problem about kind of joining databases, really, right?”

Mayur Thakur Dec 19, 2017 ▶ 9:22 Surveillance Platform for Banks // Mayur Thakur, Goldman Sachs (FirstMark's Data Driven)