• Application & Workflow Configuration: Lead the administration and build of internal logic, triggers and automated workflows within: • Vendor Selection & Evaluation: Lead the technical evaluation and selection process for new software vendors. • Integration Management: Lead the full lifecycle of integrations between these tools and Salesforce, from initial mapping and setup to ongoing monitoring of data synchronization. • Cross-Functional Optimization: Partner with stakeholders in Sales, RevOps, Customer Support and other business teams to identify manual bottlenecks and implement automated solutions across the tech stack. • Service Cloud Support: Support the technical setup of the Service Cloud environment. • Data Governance & Troubleshooting: Maintain data integrity across integrated platforms and act as Tier 3 support for application-specific issues.

• Partner with product owners, field operations, and developers to deeply understand client needs, and translate these requirements into collection and analysis approaches. • Leverage a broad range of data sources and technical capabilities to analyze issues, conduct research, summarize results, and develop recommendations. • Generate high-quality responsive analytic products and visualizations that provide insight to difficult problems demonstrating best practices in analytical tradecraft • Employ validated analytical techniques to generate insights from large volumes of qualitative and quantitative data in support of client requirements. • Establish key performance indicators to measure analytical output quality and utility, and make recommendations for improvement. • Work with program leadership and lead analysts to establish analysis frameworks and best practices, and guide adoption across the team. • Identify opportunities to improve technical tools and capabilities in support of analytical processes. • Mentor more junior analysts.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for an experienced Senior Credit Analyst hire based in the United States to help build our US credit data set and be a main point of contact into US high yield and leveraged loan markets. The position will report to the Head of US Data located in New York, NY. - Building and maintaining the suite of US credit products across US HY, IG and Leveraged loan issuers - Serving as a primary contact for our US clients – the world’s largest investment banks and asset managers - Acting as the Company’s eyes and ears on the ground in US credit markets – US HY and leveraged loans - Contributing to product development and innovation, in addition to new sales deal flow We seek passionate, innovation-minded finance professionals who want to expand their career in a high-growth setting and gain exposure to the fintech industry. Qualifications - Financial analyst background in either asset management or as a sell-side research analyst - Experience specific to credit markets and/or credit analysis - Comfortable interacting with financial market participants - Belief in finding better ways to automate repetitive tasks - Enjoy explaining the difference between IFRS 16 and Topic 842 Requirements - Financial statement and credit analysis experience; familiarity with creating financial models from scratch - Finance qualifications such as CFA preferred - Strong academic track record, with a background in finance and credit markets - US GAAP experience is essential; IFRS experience is extremely useful - Strong Excel knowledge plus experience with data management - Passion for technology and learning new tools - Fluent in English and eligible to work in the US Benefits - Competitive pay, subject to individual experience - 20 days PTO - Healthcare and 401k Work Environment - Dynamic, innovative, analytical, and collaborative Location The position can offer a high degree of remote working flexibility. The parent company is based in London, UK. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• Analyze and evaluate operational performance metrics • Create and facilitate reporting and analysis • Develop and maintain standard reporting measures • Consolidate data reports for strategic decision making • Ensure accuracy of data integrity