TL;DR

Data Scientist (Fintech): Develop high-impact analytical datasets and systematic features to power investment strategies with an accent on quantitative analysis, feature engineering, and financial asset classes. Focus on designing and validating data products, collaborating with portfolio managers, and leveraging advanced data science methodologies.

Location: New York, United States

Salary: $185000–$225000

Company

%hirify_global% is a global multi-manager hedge fund leveraging proprietary technology and risk analytics to invest across multiple financial strategies.

What you will do

Ingest, clean, and explore new data sources to build comprehensive datasets.
Collaborate with portfolio managers to translate complex data into systematic features for alpha generation.
Produce curated data products across multiple financial asset classes.
Conduct quantitative analysis and validate hypotheses through back-testing.
Partner with data engineers and analysts to support research and investment strategies.

Requirements

Must have 5+ years experience in data science or quantitative research.
Advanced knowledge of Python, SQL, and machine learning techniques.
Strong understanding of financial asset classes like equity, futures, and fixed income.
Master’s or PhD in a quantitative field such as data science, statistics, or financial engineering.
Excellent communication skills and attention to detail.

Nice to have

Experience with alternative data and market micro-structure datasets.
Knowledge of C++ and Java programming languages.
Experience with big data technologies such as Spark, Kafka, Docker, and Airflow.
Experience designing and testing systematic trading signals.

Culture & Benefits

Investment in employee learning and development.
Collaborative and teamwork-oriented environment.
Opportunities to innovate and pursue ambitious goals.
Community engagement through internal networks and external partnerships.