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The role involves developing business banking client relationships, generating deposits, providing exceptional client service, and managing a personal book of business in a fast-paced team environment.
Fintech • Insurance • Payments • Social Impact • Financial Services
The Market Risk Analyst will monitor SBL lines of credit, assess market risks, manage collateral, develop risk models, and prepare reports.
Top Skills:
BloombergData AnalyticsMoody'S Risk AnalysisRisk ModelingS&P Capital Iq
Fintech • Insurance • Payments • Social Impact • Financial Services
The role involves sourcing business for 1031 exchanges and managing long-term client relationships, focusing on business development and client satisfaction in a growing community bank.
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
Responsibilities
- Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
- Build services for reading, processing, and writing 2D/3D engineering data.
- Develop rendering modules for generating 2D/3D visual assets.
- Curate and manage large-scale datasets for learning-based systems.
- Implement and optimize post-training workflows for machine learning models.
- Contribute to the development of domain-specific languages for engineering tasks.
What we are looking for
- 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
- BSc or MSc in Computer Science, Engineering, or a related field.
- Proficient in writing clean, modular, and maintainable Python code.
- Experience with dataset creation and data pipeline development.
Bonus Points
- PhD or MS with a focus in Computational Design, Simulation, or AI.
- Experience developing CAD/CAM/CAE software tools.
- Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning.
- Experience designing or implementing DSLs or compilers.
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
