Senior Credit Analyst

Reposted 9 Hours Ago
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Shanghai, Shanghai Municipality, Shanghai, CHN
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Evaluates customer creditworthiness, recommends credit limits and payment terms, releases orders from credit hold, manages credit insurance and guarantees, monitors payment trends and overdue accounts, and partners with finance and sales teams to mitigate credit risk. The role also supports complex financial analysis, international trade compliance, process improvement, and efficient credit operations.
Summary Generated by Built In

We are seeking a Senior Credit Analyst to join our Treasury organization in NVIDIA APAC office. This role is responsible for evaluating the creditworthiness of prospective and existing customers, releasing orders from credit hold, partnering with the sales ops team to support customer credit capacity, and ensuring appropriate credit limits are established for customer exposures. This credit analyst position will play a key role in supporting the Treasury team during a period of growth and opportunity. Success in this role requires strong credit analysis capabilities, risk management experience, and the ability to assess complex financial situations in a fast-paced environment.

What you’ll be doing:

  • Analyze audited financial data to recommend credit limits, payment terms, and credit decision adjustments to senior management, following company policies and guidelines.
  • Collaborate with credit insurance providers and brokers to secure appropriate coverage for customers and transactions, mitigating credit risk.
  • Coordinate Letters of Credit and Parent Guaranty documentation to ensure compliance with credit policies and international trade regulations.
  • Partner with internal finance and sales teams to support efficient and effective credit processes. Approve and release credit capacity for shipments based on the customer’s creditworthiness, projected accounts receivable balances, ensuring timely and risk-managed delivery of goods.
  • Resolve credit-related issues with customers while maintaining positive business relationships.
  • Monitor customer payment trends, aging reports, and overdue accounts to identify emerging credit risks and address them proactively.

What we need to see:

  • Bachelor’s degree from a leading university in Finance, Accounting, Economics (or equivalent experience).
  • 5 to 10+ years of experience in credit analysis and credit risk management, preferably within the high-tech industry.
  • Experience with large transactions and complex financial structures, strong attention to detail and the ability to manage multiple priorities effectively.
  • Advanced proficiency in Microsoft Excel and financial analysis software. Familiarity with ERP systems and data analytics tools.
  • Ability to work independently, prioritize workload effectively, and thrive in a fast-paced environment.
  • Proactive, adaptable, and committed to continuous process improvement.
  • An AI-focused mindset with an interest in automation and operational efficiency.

Ways to stand out from the crowd:

  • Master’s degree or professional certifications (e.g., CFA, CBA).
  • Proficiency with credit risk management tools and financial systems including SAP.
  • Strong problem solving, analytical and complex financial modeling skills.
  • Excellent communication and interpersonal skills, with the ability to build effective partnerships across all levels of the Company.
  • Exceptional organizational skills, strong ownership and a consistent focus on accuracy and attention to detail.
  • Knowledge of AI tools that enhance productivity, optimize outcomes and improve efficiency.

Skills Required

  • Bachelor's degree in Finance, Accounting, Economics, or equivalent experience
  • 5 to 10+ years of experience in credit analysis and credit risk management
  • Experience handling large transactions and complex financial structures
  • Advanced proficiency in Microsoft Excel and financial analysis software
  • Familiarity with ERP systems and data analytics tools
  • Ability to work independently, prioritize workload, and perform effectively in a fast-paced environment
  • Master's degree or professional certification such as CFA or CBA
  • Proficiency with credit risk management tools and financial systems, including SAP
  • Strong problem-solving, analytical, and complex financial modeling skills
  • Excellent communication and interpersonal skills
  • Knowledge of AI tools that improve productivity and efficiency

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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