Interns will process large datasets for model estimation, identify useful features for predictive modeling, and demonstrate strong analytical skills.
JOB DESCRIPTION
This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.
JOB RESPONSIBILITIES- Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
- Identify features and relationships useful for the predictive modeling of market dynamics
DESIRABLE CANDIDATES
- MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
- Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
- Strong analytical and quantitative skills
- Demonstrated interest in financial markets and systematic trading
- Clear, concise, and proactive communicator
- Detail-oriented
- Willing to take ownership of his/her work, working both independently and within a small team
Point72 Bellevue, Washington, USA Office
500 108th Avenue NE, Bellevue, United States, 98004
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead design and delivery of adaptive, multi-modal learning experiences and gamification to drive digital adoption. Build learning frameworks, assessments, and reinforcement strategies across the product launch lifecycle, partner with Product and Experience teams, run interactive enablement, and scale reusable learning assets to build organizational capability and sustained behavior change.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead global strategy, product management, and delivery for Targets and Mechanisms digital platforms. Drive AI, data pipelines, omics and predictive analytics integration, oversee enterprise software delivery, governance, and GxP compliance, manage vendor relationships and budgets, and mentor global technical teams to enable target identification, translational biomarker frameworks, and research decision-making across Pfizer.
Top Skills:
AgileAIData PipelinesDevsecopsEnterprise SoftwareGxpMetadata FrameworksOmics AnalysisPredictive AnalyticsProcess MiningSaaSWaterfall
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead development of decentralized peer advocacy and employee communities to drive adoption of digital platforms. Build and scale champion networks, run beta/early-access programs, create content and engagement programs, moderate communities, measure KPIs, and enable stakeholder adoption through influence and community-led initiatives.
Top Skills:
SlackTeamsViva Engage
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

