Global Banking & Markets, Quantitative Volatility Trading Data Engineer, Vice President, Hong Kong

Hong Kongonsitevp

Posted today · via Oracle

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About this role

In this role you will work closely with trading, research and engineering to deliver data in the right shape and manner to accelerate our business. You will design and build flexible, scalable solutions for data onboarding and research workflows that permit team members to easily build and extend existing data pipelines. Your work will span the entire data lifecycle from onboarding all the way to signal deployment. If you have a passion for technology, data and trading then this could be the role for you.

Read the full description on Goldman Sachs's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

We compare your skills against the role requirements.

Level fit

This role is vp-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in Hong Kong. We weight your proximity and willingness to relocate.

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Free · no card · written explanation included

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