• Perform static and dynamic malware analysis using tools such as Detect It Easy, System Informer, and API Monitor to build attack chains and support emulation development. • Reverse engineer payloads and scripts to document execution behavior in detail. • Write emulations in languages such as C++, PowerShell, C#, and others to emulate malware behavior identified during analysis. • Develop detection logic based on emulations and malware analysis findings. • Identify telemetry gaps in Sysmon, auditd, EDR, and other data sources to improve detection coverage. • Produce high-quality technical reports with executive-level summaries of findings. • Debug malware and emulations using tools such as x64dbg, WinDbg, or other debuggers. • Analyze applications for vulnerabilities using reverse engineering and debugging tools. • Correlate events across incidents and malware behaviors identified during malware analysis. • Conduct hunt activities from a detection engineering perspective.

• Build and scale OnePay’s consumer insights function, defining research standards, tools, governance, and processes • Lead quantitative and qualitative research to uncover consumer attitudes, behaviors, motivations, and perceptions, including advanced analytics on pricing, brand health, customer experience, and preference drivers • Partner with Brand and Marketing on segmentation, positioning, messaging, and campaign strategy; partner with Product and Design to inform product and experience decisions • Establish durable insights infrastructure, including tracking programs, segmentation frameworks, and foundational research that guides decisions across the organization • Measure and communicate the impact of campaigns, brand initiatives, product launches, and customer engagement through brand tracking, NPS, and performance analysis • Identify emerging customer trends, unmet needs, and market opportunities that inform brand, product, and business strategy • Enable marketers, product managers, designers, and strategists to apply research-driven decision making and conduct lightweight research independently

• Analyze market microstructure and on-chain data to identify inefficiencies and trading opportunities. • Apply statistical and machine-learning techniques to generate, validate, and improve trading signals. • Design and implement market-making, arbitrage, and systematic strategies end-to-end. • Build and maintain signal-generation pipelines, feature stores, and parameter-optimization tooling. • Develop robust backtesting frameworks; conduct performance analysis and attribution. • Implement trading system components, including order management and exchange connectivity. • Build and operate data pipelines and research platforms for high-quality, reproducible research. • Ensure system reliability, scalability, and latency/performance optimization in production. • Implement risk monitoring and control systems across strategies and venues. • Run post-trade analytics to evaluate execution quality, slippage, and market impact. • Develop risk metrics, dashboards, and reporting tools for strategy and portfolio oversight. • Run simulations and estimate market impact for both liquid and illiquid assets.

• Stay current with emerging technologies, trends, and threat landscapes within the cybersecurity and AI domains • Identify and investigate blind spots and vulnerabilities in our AI-powered detection systems to strengthen their resilience and accuracy • Design and develop Proof of Concept (PoC) projects grounded in deep, rigorous research across the cybersecurity domain • Collaborate cross-functionally with engineering and product teams to translate research findings into actionable, scalable security solutions