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Business Analytics & Strategic Partnerships (Tokenisation) Manager

AI Summary
Binance is seeking a manager to combine market analytics, strategic planning, and business development for tokenisation partnerships. The role involves analyzing TradFi markets, developing pricing and market-entry proposals, originating partner opportunities, and owning negotiations through closing. The manager will work across product, legal, compliance, engineering, and leadership while building a view of banking, brokerage, and market-infrastructure opportunities. Success is strongly tied to commercially viable deals, informed strategy, and the ability to translate data into executive-ready recommendations.
Remote from
Hong Kong, Malaysia
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
9 Dec 2026
Listing views
43
Application actions
4
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Opportunity details

About this role.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

Responsibilities

  • Turn data into insight — source, clean, and interpret TradFi market data, opportunities, and competitive positioning, working closely with our data team
  • Turn insight into proposals — develop clear, actionable recommendations: pricing strategy, market entry, deal structuring, go-to-market
  • Enable business development — package analysis into decision-ready formats our leadership uses directly when engaging external parties and pursuing TradFi opportunities
  • Build the market picture — maintain a working map of the TradFi landscape (banking, brokerages, market infrastructure) to drive our commercial push
  • Originate and source deals — proactively identify and engage issuers, companies, partners, investment banks, exchanges, and distribution platforms to develop new opportunities
  • Own the full deal cycle — from initial outreach and pitch, through negotiation, to closing and handover. You’ll be measured on deals closed, not meetings had.
  • Lead commercial discussions — structure the economics of the partnership, model the value, and land terms that work
  • Build the strategy — feed market intelligence back to shape what we pursue next in tokenisation and partnerships
  • Work cross-functionally — align with product, legal, compliance, and engineering to get deals over the line

Requirements

  • 5- 8 years of experience in finance, strategy, consulting or similar analytical roles — ideally in crypto, fintech, or financial services.
  • Strong commercial and operational acumen as well as critical problem solving skills.
  • Ability to build strong cross functional relationships – communications and engaging with internal stakeholders of various levels is key.
  • Project and change management experience.
  • Deep understanding of tokenisation — real-world assets, digital assets, token issuance, or the institutional side of crypto.

Why Binance

  • Shape the future of finance
  • Collaborate with world-class talent in a user-centric global organization with a flat structure
  • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
  • Thrive in a results-driven workplace with opportunities for career growth and continuous learning
  • Competitive salary and company benefits
  • Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior, commercially accountable role requiring both deep tokenisation knowledge and ownership of complex financial-services partnerships. It combines analytical rigor, deal execution, cross-functional alignment, and high-stakes external negotiation.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$120,000
US market range (per year)$90k–$160k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base-pay range is disclosed. The yearly figures are AI estimates in USD for a mid-to-senior tokenisation strategy and partnerships manager; the yearly cadence is inferred from the full-time professional role and market convention.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you assess a new tokenisation partnership opportunity with a financial institution?

I would begin by defining the customer problem, regulatory context, target asset class, and distribution model. I would size the market, evaluate strategic fit and operational feasibility, model economics and risks, then present a recommendation with clear assumptions, milestones, and decision criteria.

Describe how you would structure the economics of a partnership involving tokenised real-world assets.

I would identify each party’s contributions, including issuance, custody, technology, distribution, liquidity, and compliance. I would then model revenue sources, implementation costs, risk allocation, incentives, minimum commitments, and governance provisions to create an arrangement that supports both launch viability and long-term scale.

How do you turn complex market data into an executive-ready recommendation?

I focus first on the decision that leadership needs to make, then select only the data that materially informs that decision. I communicate the conclusion, supporting evidence, commercial upside, key risks, and proposed next steps in a concise narrative, with detailed analysis available as an appendix.

What challenges do you expect when engaging TradFi institutions on tokenisation, and how would you address them?

Common challenges include regulatory uncertainty, operational risk concerns, integration complexity, and skepticism about liquidity or institutional controls. I would address these through a clear value proposition, credible compliance and risk frameworks, phased pilots, measurable success criteria, and early alignment with legal and product teams.

Tell us how you would manage disagreement among product, legal, compliance, and commercial stakeholders during a deal cycle.

I would make the disagreement explicit by documenting each team’s objectives, constraints, and non-negotiables. Then I would use data, risk analysis, and alternative deal structures to identify a viable path, escalate only decisions that require leadership judgment, and maintain clear ownership and timelines.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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