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Field Sales Executive Jobs

5,649 active opportunities · Updated for October 2026

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Explore current field sales executive jobs. Use filters to narrow by work mode, employment type, experience and date posted.

C
4 days ago

The Treasury Risk Officer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Responsibilities: Responsible for risk reporting and analysis for Citi Treasury, working closely with the Treasury Portfolio Managers, Treasury Risk Managers, and Treasury Finance and O&T. Partners with members of Treasury, Risk Management, and Finance to establish reporting requirements, develop the tools, analysis and reporting necessary to proactively identify and manage risk with respect to portfolios and products, and continuously update the reporting process to reflect the current business structure. Supervises the team responsible for the reporting and analysis of interest rate and other market risks. Conducts daily, weekly, and or monthly reporting of Interest Rate Exposure, DV01, duration, convexity, VaR, and MTM. Monthly reporting requirements include computation of Economic Value Sensitivity, Economic Risk Capital, and numerous stress scenarios. Develops a high level of expertise in the various systems Treasury Risk uses to generate Risk information such as DP and Yield Book. Leads testing and implementing a new

C
Coinbase
📍 United States• Remote• $180.4K – $212.2K/yr
4 days ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line. What you'll be doing: Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making. Build, tune, or measure the performance of online and offline ML models and AI systems used across Coinbase. Act as owner for a broad scope of data and metrics, from definitions and core logging to presentation of data visualizations. Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. Maintain a high bar for statistical rigor on your team. Design, execute, and uplevel experimentation and causal analyses that build confidence with your stakeholders. What we look for in you: A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. Ability to in

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