Machine Learning Researcher - PhD: 2027 at Susquehanna International Group, LLP
Bala Cynwyd (Philadelphia Area), PA
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Jul 22, 2026
Bala Cynwyd (Philadelphia Area), PA
Jul 24, 2026
What this job asks for AI summary
A research role at a quantitative trading firm focused on building and refining deep learning models to generate and improve systematic trading signals. Day-to-day work spans time series forecasting, natural language understanding, experiment design, and moving research into production trading systems. Best suited to a PhD-level researcher with substantial deep learning experience and a background in applied ML for complex, data-intensive problems.
Senior level · 5+ years · Philadelphia-Camden-Wilmington, PA-NJ-DE-MD · Doctorate required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 380 people in the Philadelphia-Camden-Wilmington, PA-NJ-DE-MD area plausibly meet what this posting asks for (data scientists). range 290–500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $112,327 (middle half $84,835–$156,058).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The posting is tagged '#LI-Onsite', confirming this is an on-site role. Susquehanna (SIG) is headquartered in Bala Cynwyd, PA (Philadelphia metro); no explicit city is stated in the JD but the firm's known primary location was used.
A PhD is listed as a hard requirement under 'What we're looking for' with no 'or equivalent experience' escape clause.
The '5+ years of experience' requirement is stated specifically for 'building impactful deep learning systems', making it a role-level gate.
Python and C++ are presented as interchangeable ('Python and/or C++'); Python is listed as the primary with C++ as an alternative.
PyTorch and TensorFlow are presented as interchangeable examples ('such as PyTorch or TensorFlow'); PyTorch is listed as primary.
NLP ('natural language understanding') is mentioned only in the overview narrative as one example of forecasting challenges, not as a gated requirement — marked as preferred.
SOC confidence is Medium: the role is primarily research/modeling (15-2051 Data Scientists) but has a meaningful production engineering component (translating models to production, deploying, monitoring) that could support 15-1252 Software Developers.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): time series analysis.
Read the full posting
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