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BlackRock

Associate, Sales and Relationship Management – Cachematrix

BlackRock is hiring an Associate, Sales and Relationship Management – Cachematrix in London, United Kingdom. Level rates it ; you can apply on BlackRock.

Level's read on this job

  • Level rates this sales role Little AI ●○○○: aI is not part of the work.
  • Level classes it as a junior role.
  • BlackRock has 276 other open roles on Level.
  • Posted in the last few days.

AI in this role

About this role

Your team


BlackRock is a global leader in cash management, with over US$1 trillion in global liquidity assets. Sitting within BlackRock Global Markets, the International Cash Management Group works with corporate treasurers, financial institutions, insurers and public sector organizations to help them put short-term cash to work across money market funds, ultra-short duration funds and separate accounts.


At the heart of the Cash business sits BlackRock Cachematrix, a high-growth financial technology platform combining investment expertise with technology. Cachematrix enables institutional investors to research, trade, automate and report on money market funds from more than 35 fund providers through Cachematrix Direct, Cachematrix Connect and White Label solutions. Around US$1 trillion of assets transact across the Cachematrix ecosystem, with more than 7,000 direct-to-investor accounts. Powered by Aladdin technology, Cachematrix connects with treasury management systems, partner products, banks and transfer agents to support increasingly automated investment workflows.


Your role and impact


We are looking for a commercially minded Sales Associate to join the Cachematrix client team in London. This role provides the opportunity to combine relationship management, new business development and financial technology, helping institutional clients transform how they manage and invest cash.


You will develop new business, grow and retain existing relationships, increase adoption of Cachematrix and work closely with investment, technology and product colleagues. You will also help clients explore opportunities across connectivity, automation, artificial intelligence and digital assets as Cachematrix continues to evolve its global proposition.


Your responsibilities


In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:


  • Win new business: Identify, develop and close opportunities with corporates, financial institutions and asset managers, contributing to client acquisition, Assets Under Management (AUM) and revenue growth.
  • Own client relationships: Become a trusted partner to treasury and investment teams, deepening relationships, increasing platform adoption and helping protect and grow the existing client base.
  • Drive connectivity and automation: Champion Treasury Management System (TMS) integrations, Application Programming Interfaces (APIs), automated settlement and investment capabilities to create efficient, end-to-end workflows.
  • Shape the product: Translate client feedback, competitor insight and market intelligence into actionable input for product development, helping Cachematrix respond to evolving client needs.
  • Harness Artificial Intelligence (AI): Use AI and data-driven insights to improve client targeting, identify opportunities and deliver a faster and more personalized client experience.
  • Pioneer digital assets: Help clients explore the next generation of liquidity solutions, including tokenized money market funds and emerging digital settlement models.
  • Collaborate and execute: Partner across Cash, BlackRock Global Markets, Aladdin and other BlackRock teams to deliver strong client experiences and measurable commercial outcomes.

Your experience


  • Relevant academic, professional or practical experience that demonstrates the ability to succeed in a commercial financial technology and client-facing environment.
  • Demonstrated experience in business development or relationship management, ideally within financial markets, money market funds, treasury or financial technology / Software as a Service (SaaS).
  • Excellent communication, presentation and interpersonal skills, with the confidence to engage effectively with senior client and internal stakeholders.
  • A commercially driven approach with strong organizational, project management and problem-solving capabilities.
  • Intellectual curiosity and an interest in technology, Artificial Intelligence (AI), automation and digital innovation.
  • A collaborative mindset, strong integrity and a commitment to delivering an exceptional client experience.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.


Guidance on AI use for candidates


At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.


About BlackRock


At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.


This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.


To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.


BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

How we rate this

Associate, Sales and Relationship Management – Cachematrix at BlackRock rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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