Business Development Manager - Financial Services Industry

Posted 4 Days Ago
Be an Early Applicant
Shanghai, Shanghai Municipality, Shanghai, CHN
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop strategic plans and grow NVIDIA technology adoption across China’s financial services market, especially algorithmic trading. Build relationships with developers, engineers, leaders, ISVs, and enterprise clients; lead workshops and technical enablement; support partner onboarding and integrations; collaborate with solution architects, product management, and go-to-market teams; and pursue opportunities that drive revenue growth.
Summary Generated by Built In

Would you like to join a team that transforms the world with the latest technology? At NVIDIA, we constantly advance innovation, crafting the future of computing with our sophisticated AI and GPU technologies. As a Business Development Manager for Financial Services Industry (FSI) in Shanghai, China, you will have a crucial role in promoting NVIDIA’s ground breaking solutions within the financial sector. This is an outstanding opportunity to tap into your expertise in financial services and technology to make a strong impact!

What you'll be doing:

  • Developing and accomplishing strategic plans to successfully conduct NVIDIA’s technology solutions within the FSI domain.

  • Building and cultivating relationships with key collaborators, including developers, engineers, and leadership teams, to serve as a trusted technical advisor.

  • Leading workshops and technical enablement sessions to promote ecosystem adoption and partner onboarding.

  • Working closely across departments with solution architects, product management, and go-to-market teams to guarantee detailed implementation of business strategies.

  • Identifying and pursuing new business opportunities, challenging effectively in the market, and resolving best approaches to drive revenue growth.

  • Handling technical collaborations with ISVs and enterprise clients in the China FSI market especially in algo trading industry, ensuring detailed integration and outstanding customer happiness.

What we need to see:

  • Financial services domain expertise: algorithmic trading, risk analytics, quantitative finance, or banking technology.

  • Developer relations, technical partnership, or developer advocacy experience in a technology company.

  • Strong English language ability (business level).

  • Ability to act as a reliable technical consultant for FSI developers and engineering leadership.

  • Experience promoting ecosystem adoption through big events or workshops, technical enablement, and partner onboarding.

  • Minimum of a bachelor's degree in a relevant field experience.

  • 7+ years hands-on experience in accelerated computing, AI/ML platforms.

Ways to stand out from the crowd:

  • Familiarity with NVIDIA software stack: CUDA, RAPIDS, cuFolio, or AI enterprise frameworks.

  • Experience with GPU-accelerated risk simulation, Monte Carlo, or quantitative analytics workloads.

  • Experience working across functions with solution architects, product management, and GTM teams.

  • Demonstrated history of handling ISV or enterprise technical alliances within the China FSI market especially in algo trading industry.

  • Public speaking or technical evangelist experience at conferences or developer events.

Skills Required

  • Financial services domain expertise in algorithmic trading, risk analytics, quantitative finance, or banking technology
  • Experience in developer relations, technical partnerships, or developer advocacy at a technology company
  • Business-level English language ability
  • Ability to act as a technical consultant for FSI developers and engineering leadership
  • Experience promoting ecosystem adoption through events, workshops, technical enablement, and partner onboarding
  • Bachelor's degree in a relevant field
  • 7+ years of hands-on experience in accelerated computing and AI/ML platforms
  • Familiarity with NVIDIA software including CUDA, RAPIDS, cuFolio, or AI enterprise frameworks
  • Experience with GPU-accelerated risk simulation, Monte Carlo, or quantitative analytics workloads
  • Experience collaborating with solution architects, product management, and go-to-market teams
  • Experience managing ISV or enterprise technical alliances in China’s FSI market, especially algorithmic trading
  • Public speaking or technical evangelist experience at conferences or developer events

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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