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 • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Lead the technical strategy and architecture for Snap’s Ads Marketplace, including bidding, pacing, auctions, inventory optimization, traffic allocation, and ad reranking. Design scalable algorithms and distributed systems that improve advertiser performance, marketplace efficiency, revenue, and user experience. Lead cross-team engineering initiatives, experimentation, production delivery, reliability, and performance improvements while mentoring senior engineers and technical leaders.
Top Skills:
Constrained OptimizationControl TheoryDistributed SystemsMachine LearningOnline Learning
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Own SEO and AEO initiatives across multiple domains, driving organic visibility, qualified traffic, conversions, and AI-search presence. Conduct keyword, competitor, technical, and performance analysis; recommend content, metadata, site structure, and structured-data improvements; partner with content, marketing, web, engineering, and analytics teams; support launches and offsite authority efforts; measure search visibility, citations, mentions, and business impact; and communicate actionable findings to stakeholders.
Top Skills:
AhrefsChatgptCSSGeminiGoogle Ai OverviewsGoogle AnalyticsGoogle Search ConsoleHreflangHTMLJavaScriptPerplexityProfoundScreaming FrogSemrushSeoclaritySQLStructured Data
Software • Hospitality
Leads Hilton’s global HR Technology portfolio governance and program management. Responsibilities include integrated planning, prioritization, resource and capacity management, risk and dependency tracking, executive reporting, cross-functional program execution, vendor coordination, and steering committees. The role modernizes portfolio practices through AI, automation, analytics, and contemporary tools while establishing scalable governance, delivery standards, success measures, and outcome tracking for enterprise HR technology and AI-enabled initiatives.
Top Skills:
AgileAIAnalyticsAutomationData Visualization ToolsEnterprise Portfolio Management PlatformsHybrid DeliveryProduct Operating ModelsProject Management Platforms
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
