Data Scientist
NX1 Capital LP · New York, NY
Experience must include
SQLPythonpandasNumPystatistical analysismachine learningpredictive modelingclassificationclusteringnatural language processing (NLP)anomaly detectionETL pipelines
Apply
Only apply if you genuinely want this job and meet every stated requirement. RapidApply can check your profile against the requirements and prepare a truthful application packet for you to review — nothing is sent without your approval.
Check my fit & prepare an applicationWhere this job is advertised
Application instructions (verbatim)
Send resume to NX1 Capital LP at recruiting@nx1.com and reference position title in subject line.
This source's terms don't allow us to republish the full ad; read it at the original posting. Signed-in applicants see the full text on their fit page.
Application instructions (verbatim)
Send resume to NX1 Capital LP at recruiting@nx1.com and reference position title in subject line.
Full posting text
Data Scientist NX1 Capital LP — New York, NY Job title: Data Scientist Company: NX1 Capital LP (New York, New York) Duties: Support investment decision-making with scalable, data-driven solutions. Source, structure, and analyze large-scale financial, market, and alternative datasets to identify insights for alpha generation and risk management. Conduct research-driven data analysis to support thematic, sector, and company-level investment theses, including use of non-traditional data sources. Develop and maintain robust data pipelines using SQL and Python (pandas) to automate data extraction, transformation, and reporting processes. Manage and optimize internal data infrastructure, ensuring clean, timely, and high-quality data delivery for portfolio research and monitoring. Collaborate with investment and engineering teams to integrate technical data solutions into the investment workflow, from research to execution. Reqts: Bachelors degree or foreign equivalent in Econometrics, Economics, Quantitative Economics, Data Science, or a related field, and 5 years of experience in the position offered or related position, including 4 years of experience with: Working in hedge fund or alternative data provider, supporting investment analytics and research workflows using large datasets including credit card, email receipts, app usage/download, and web click data; Performing advanced quantitative analysis of KPI estimates, segmentation, and cohort analysis on large-scale financial and alternative datasets using Python and statistical libraries specifically Pandas and NumPy, to identify patterns, trends, and signals relevant to investment research; Developing and applying statistical, machine learning, or predictive modeling techniques, including classification, clustering, natural language processing (NLP), or anomaly detection, to extract insights and generate analytical signals from alternative datasets; Designing, building, and maintaining end-to-end ETL pipelines to ingest, normalize, and process large-scale structured and unstructured datasets from third party vendors, including financial and alternative data sources such as consumer transaction, email receipt, web activity, or application usage datasets, using Python and SQL; Implementing distributed data processing workflows for large-scale data transformation and aggregation using technologies of SQL, Spark, Snowflake, or Databricks, and designing automated data workflow orchestration and scheduling systems using tools including Apache Airflow and Dagster; Translating complex datasets and analytical outputs into actionable insights for investment research by collaborating with cross-functional teams including data engineers, quantitative researchers, and investment professionals in a financial analytics or investment research environment. Salary: $172,994/year. Send resume to NX1 Capital LP at recruiting@nx1.com and reference position title in subject line.
Why we think this is a PERM ad (100% confidence): Rules: PERM-form signals: foreign_equivalent, related_occupation, mail_resume, degree_field, exact_experience, form_like_headers