Okay, I've searched for experienced Customer Success Engineer roles in New York, NY within the Asset Management industry, requiring 5+ years of experience and proficiency in APIs. I have found 47 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Associate Director - Customer Success Engineer for RMBS at Moody's is fundamentally hired to bridge the gap between complex structured finance products and their users by delivering technical expertise, customer engagement, and problem resolution. This role demands a sophisticated understanding of RMBS and other structured finance instruments, integrating product knowledge with hands-on experience in cash flow modeling, APIs, and structured finance analytics. The candidate will be the interface between Moody's product technology and clients, decoding customer requirements and translating them into actionable improvements and support strategies. Success here means not only resolving technical and analytical challenges but also deepening relationships across client hierarchies, positioning Moody's as a trusted advisor. The role requires active participation in product development through feedback and integration planning, indicating a collaborative environment where cross-functional coordination with engineering, product management, and sales teams is critical. The candidate will navigate complex technical problems that blend finance and technology, requiring both deep problem-solving skills and clear communication to ensure clients fully realize product value. The focus on APIs, cash flow engines, and financial models like Probability of Default and CECL signals that technical proficiency combined with domain expertise is essential. Attention to detail, multitasking, and the ability to absorb and convey complex information effectively will underpin success in this dynamic, customer-facing position. Autonomy is balanced with collaboration, as the role involves both reactive support and proactive contribution to product and client strategy. Meeting performance expectations likely centers around client satisfaction, customer health scores, timely resolution of issues, and contribution to product enhancements within the structured finance asset management context.

Company Analysis:

Moody’s is a globally recognized leader in risk assessment and financial analytics, operating at the nexus of data, technology, and market insight. With a heritage rooted in trusted expertise and a commitment to innovation, it serves a clientele demanding precision, reliability, and forward-looking solutions in an increasingly complex market environment. The company’s culture appears inclusive, intellectually rigorous, and innovation-driven, emphasizing curiosity, diverse perspectives, and integrity. For someone in the Customer Success Engineer role, this translates to a workplace where continuous learning, adaptability, and collaborative problem-solving are prized. Moody’s market position as a pivotal player in structured finance means employees not only contribute to stable, mission-critical products but are also part of strategic efforts to evolve and improve offerings in response to market dynamics and client feedback. The role likely commands strong visibility within the asset management line of business and possibly interaction with leadership, given its cross-functional and client-facing nature. Moody’s focus on turning risks into opportunities aligns with a culture that values strategic thinking and reliability, underscoring the importance of professionals who can manage complexity without losing sight of practical client outcomes. The role is strategic, aimed at supporting growth through product adoption and satisfaction, and stabilizing client relationships by ensuring core technical and financial tools are well understood and effectively used.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to explain a complex technical financial concept to a non-technical customer. How did you ensure understanding and build trust?
• Behavioral: Describe an instance where you identified and resolved a significant issue in a client’s structured finance model or data integration. What was your approach?
• Behavioral: How have you managed competing priorities when supporting multiple high-stakes clients experiencing urgent technical challenges?
• Behavioral: Share a situation where you used feedback from clients to influence product development or process improvement.
• Technical: Walk me through how you would reverse engineer a structured finance transaction using APIs and cash flow engines. What key elements would you focus on?
• Technical: How do you approach building and validating cash flow models for RMBS transactions? What tools and data sources do you rely on?
• Technical: Explain your experience with credit risk models such as Probability of Default (PD) or CECL. How have you applied these in a client support or engineering context?
• Technical: Can you describe your familiarity with RESTful APIs and how you’ve used them to integrate data feeds or build customer installation plans?
• Situational: Imagine a major client reports discrepancies in data performance metrics after an update to the Cash Flow modeling tool. How would you investigate and address this issue?
• Situational: Suppose a client is struggling to adopt the structured finance APIs effectively. What steps would you take to enhance their understanding and usage?
• Situational: If there is a conflict between client requests and the current product roadmap, how would you manage expectations and communicate with stakeholders?
• Company Fit: What attracts you to Moody’s as a company, and how do you see your values aligning with our mission to turn risks into opportunities?
• Company Fit: How do you envision contributing to Moody’s culture of curiosity, inclusion, and collaborative innovation in this role?
• Company Fit: Moody’s values leveraging diverse perspectives. Can you share a time when such diversity improved your problem-solving or customer engagement?
• Questions for Interviewer: How does Moody’s Customer Success team collaborate with product and engineering to prioritize client feature requests?
• Questions for Interviewer: What metrics or KPIs does Moody’s use to define success for the Customer Success Engineer role within structured finance?
• Questions for Interviewer: Can you describe the typical career progression or development opportunities for someone in this role at Moody’s?