Q

Quantexa

AI-driven decision intelligence for risk

Technology Account Partner - Banking, Nordics

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeStockholm, Sweden

About the Job

Requirements

  • Understand data or specialize in a banking solution domain such as data management, financial crime, risk management, fraud detection, or customer intelligence.
  • Have platform implementation experience and credibility from proven results.
  • Have significant experience working with clients and fostering executive relationships.
  • Have experience in a consulting role and be comfortable working with internal teams and customers to deliver value.
  • Have experience working across functions to drive collaboration and best practices, and provide clear customer feedback to internal teams.
  • Have excellent interpersonal, written, and verbal communication skills and a track record of effective customer engagement.
  • Be fluent in Swedish and English, with strong written and verbal communication skills.

Responsibilities

  • Act as a functional expert in Quantexa’s platform and products, understanding their capabilities and application to banking challenges.
  • Apply knowledge of banking practices, regulatory environments, and industry challenges to help customers identify opportunities, gaps, and risks.
  • Lead discovery sessions with customers, prospects, and partners to understand business challenges, technical requirements, and desired outcomes.
  • Work with customers, partners, and internal teams to design and refine tailored solutions aligned with customer needs and objectives.
  • Advise customers and internal teams on enterprise deployment options and technical decisions to shape scalable, practical solutions.
  • Serve as a key account-team member for selected strategic banking customers, helping define account strategy and drive long-term business value through the platform.
  • Own the strategy and vision for Decision Intelligence across the customer enterprise, helping senior stakeholders understand how Quantexa supports broader business objectives.
  • Work with Product, Delivery, and strategic partners to align with customer goals, adhere to agreed Blueprints, and support successful delivery, value realization, and expansion.
  • Drive operational adoption of the Quantexa platform so customers realize ongoing value from their investment.
  • Build and maintain executive-level relationships, establish appropriate governance, and act as a trusted strategic partner to key stakeholders.
  • Support renewal and expansion opportunities by identifying additional value Quantexa can deliver across the customer organization.
  • Contribute to the growth and development of the Banking Field Engineering function by sharing expertise, supporting colleagues, and helping shape how the team works as it scales.
  • Help customers define strategic roadmaps that enable them to realize value from Quantexa products.
  • Work collaboratively with customers and internal teams to evaluate challenges and implement effective solutions.

Desired Qualifications

  • Significant experience in a commercially focused technical role such as Solution Engineering, Pre-Sales, Technical Sales, or Value Consulting.
  • Strong experience working with data and technology platforms in the banking sector through implementation, delivery, or direct use.
  • Experience setting and delivering against a long-term vision and roadmap.
  • Strong product and technology expertise within banking, with credibility engaging technical and business stakeholders.
  • Proven ability to build and manage relationships with senior and executive-level stakeholders.
  • Willingness and ability to travel as required for customer and business needs.

About the Company

Quantexa

AI-driven decision intelligence for risk

Quantexa provides decision intelligence solutions that use AI to help organizations make informed decisions by unifying data across sources. The platform targets financial institutions, government agencies, and large enterprises worldwide. It ingests and links large data sets to reveal hidden risks, detect fraud, and support regulatory compliance. The goal is to automate decision-making, improve operational efficiency, and drive revenue growth by turning data into actionable insights.

Company size
501-1,000
Company stage
Series F
Total funding
$545M
Headquarters
London, United Kingdom
Founded
2016

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