Company Description BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches. Looking ahead, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies. We’ve got a team of 200+ professionals, with a strong emphasis on technology—70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, Operations and more. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT, clarity and transparency are at the core of our culture: we value open communication, ensuring that our processes are straightforward. Job Description We are seeking an experienced ML-driven Alpha Researcher / Feature Engineer who thrives at the intersection of fast-paced markets, data science, and collaboration This role is ideal for someone who can move quickly from idea to execution—transforming complex datasets into predictive trading signals that capture short-term market opportunities. You’ll work alongside a highly skilled modeling and execution team, ensuring that your research ideas don’t stay in theory but turn into real, monetized strategies. Key Responsibilities: Perform rigorous, time-sensitive applied research across diverse data sources—including high-frequency market data and alternative datasets—to uncover systematic anomalies. Design and engineer predictive features that can be rapidly tested and deployed into production strategies. Lead and contribute to end-to-end signal research workflows: data sourcing, cleaning, feature engineering, signal generation, backtesting, and validation. Partner closely with modeling and execution teams to ensure signals are integrated, stress-tested, and monetized efficiently. Qualifications

• Define and own the UX research vision, strategy, and roadmap • Represent the voice of the user across the company • Build, lead, and mentor a world class team of UX researchers • Partner closely with Product, Design, Data, Engineering, and AI Research leaders • Design and oversee mixed-methods research programs • Translate complex research findings into clear, actionable insights • Champion a strong user-centered culture

• Lead impactful, meaningful end-to-end research projects, across Wealthfront’s products, and the entire client journey. • Partner with cross-functional teammates from design, product, data science, marketing, and engineering to identify, plan, and execute tactical and foundational research. • Represent our current and potential clients’ experiences by conveying insights in crisp, clear, and actionable ways. • Help our team continuously identify and learn about current and potential opportunities to better serve our clients, inspire product strategy, and encourage design iteration. • Experiment with innovative ways to shed new light on client experiences to help inform business decisions. • Participate in all product team and design team activities, mentor team members, and champion the team’s work across Wealthfront. • Learn about financial technology, investing, research, design, and so much more!

• Own research strategy for a product area or cross-team initiative • Design and execute end-to-end qualitative, quantitative, and mixed-methods research • Identify patterns across studies and connect insights to product decisions • Partner closely with Product Managers and Designers to frame the right problems • Influence roadmaps by surfacing unmet user needs, risks, and opportunities • Push teams beyond validation toward deeper discovery • Produce clear, compelling synthesis and storytelling • Model strong research rigor, ethics, and judgment • Mentor mid-level and senior researchers through critique and collaboration • Act as a go-to researcher for ambiguous or high-stakes problem spaces • Influence without authority across teams • Help partners develop stronger research instincts