Careers

About Us

We are a forward-thinking, FinTech startup pioneering next-generation commercial banking analytics. Our team is on a mission to transform financial data into actionable insights, leveraging cutting-edge technologies in analytics and ML to drive efficiency, innovation, and liquidity. We are currently operating in stealth mode, and have secured financing from Madrona Ventures and other top tier investors. Join our small, expert team to shape the future of banking analytics in a collaborative and impactful environment.

Job Description

We are looking for a skilled Data Analytics & Scientist with around 2 years of experience to work on advanced analytics projects, including LLMs, text classification, and predictive analytics. You will play a key role in developing data-driven solutions that power our platform. This position is on-site in the Redmond/Seattle area, working closely with subject matter experts and collaborating with both on-site and remote team members.

Key Responsibilities

• Design, implement, and evaluate machine learning models for text classification, predictive analytics, and other use cases.
• Develop workflows for processing, analyzing, and modeling structured and unstructured data using Python, Pandas, and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Work with large language models (LLMs) to derive insights and build intelligent applications.
• Collaborate with cross-functional teams to align analytics solutions with business objectives.
• Optimize data pipelines for efficiency and scalability.
• Stay updated with the latest advancements in machine learning and data science, applying them to enhance our capabilities.

Requirements

• 2+ years of experience in data analytics or data science.
• Hands-on experience with large language models (LLMs) and text classification techniques.
• Solid understanding of HTML, CSS, and JavaScript.
• Proficiency in Python, Pandas, and machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of predictive analytics and statistical modeling.
• Excellent problem-solving and analytical skills.
• Strong communication skills for effective collaboration with on-site and remote team members.
• Must be willing to work on-site in Redmond/Seattle, WA.

Preferred Skills

• Familiarity with cloud-based ML tools (e.g., AWS SageMaker, Azure ML).
• Experience with NLP techniques beyond text classification.
• Knowledge of the banking or financial analytics domain is a plus.
• Exposure to startup environments or small-team collaboration.

What We Offer

• A chance to shape the future of banking analytics.
• A collaborative, innovative, and close-knit team environment.
• Competitive compensation with opportunities for professional development.