Threat Intelligence Analyst

Posted 6 Hours Ago
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London, Greater London, England, GBR
Hybrid
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Analyze tactical, operational, and strategic threat signals to quantify fraud exposure, develop detection rules and behavioral features, map fraud kill-chains, and partner cross-functionally to design and deploy preventative and investigative controls protecting customers and the platform.
Summary Generated by Built In
Company Description

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about our mission and what we offer.

Job Description

We are seeking an experienced Threat Intelligence Analyst to join our Threat Intelligence Unit (TIU). In this role, you will analyze, synthesize, and leverage the complex tactical, operational, and strategic signals gathered through our Intelligence Collection Framework (ICF) to protect Wise and our global customer base from sophisticated fraud and financial crime.

Your Mission: Serving as the definitive analytical shield of the TIU, you will assess the scale, scope, and severity of the threats targeting our platform. You will translate raw indicators into robust, first-line defense capabilities by developing preventative controls and detective rules. Utilizing structured kill-chain modeling, you will map fraud vectors end-to-end to isolate mitigation opportunities, collaborating cross-functionally across Wise to proactively neutralize risks.

Key Responsibilities

  • Threat Assessment & Quantification: Analyze signals harvested by the ICF to evaluate Wise's exposure to specific vectors, leveraging large-scale datasets to quantify and qualify the nature of emerging threats.

  • Defensive Rule & Feature Development: Engineer and deploy sophisticated detection rules and behavioral features in response to tactical Indicators of Compromise (IOCs), actively shielding vulnerable customers and identifying accounts at risk.

  • Kill-Chain Modeling: Map out complex financial crime and fraud vectors using structured kill-chain frameworks, identifying strategic intervention and mitigation points across every stage of the attack lifecycle.

  • Cross-Functional Strategy Execution: Partner with diverse business units across Wise to design and execute comprehensive response strategies for high-impact threats, transitioning seamlessly from immediate tactical fixes to long-term strategic changes.

  • Framework & Investigative Support: Provide data-driven insights to steer the future direction of the ICF and support the TIU’s investigative function in identifying and tracking malicious actor activity.

Qualifications

Qualifications & Experience

  • Analytical Expertise: Significant experience in fraud and/or financial crime analysis, possessing a deep technical understanding of diverse attack typologies and their operational impact across various customer segments.

  • Strategic Control Deployment: Substantial experience developing counter-fraud strategies, specifically through the creation, testing, and deployment of rules, models, and features, alongside a proven ability to influence key stakeholders.

  • Strategic Mindset: A sophisticated, counter-adversarial approach to risk detection and threat modeling.

  • Technical Data Proficiency: Proficiency in extracting, manipulating, and analyzing large-scale datasets using SQL, Python, or similar data science methodologies to produce structured, analytical outputs.

  • Communication & Translation: Demonstrated capability to map end-to-end attacks and articulate complex threat technicalities to diverse audiences—ranging from engineering and analytical teams to product owners, policy writers, and executive leadership.

  • Desirable Credentials: Prior experience with external networks (industry trust groups, public-private partnerships, or law enforcement), cyber kill-chain mapping, or certifications such as SANS training, ACAMS, ACFE, or ICA are highly advantageous.

Additional Information

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Skills Required

  • Significant experience in fraud and/or financial crime analysis
  • Experience developing, testing, and deploying counter-fraud rules, models, and features
  • Proficiency extracting, manipulating, and analyzing large-scale datasets using SQL or Python
  • Ability to map end-to-end attacks using kill-chain modeling and identify mitigation points
  • Strong communication skills to translate technical threats for engineering, product, and leadership audiences
  • Experience with external networks, cyber kill-chain mapping, or certifications (SANS, ACAMS, ACFE, ICA)

What the Team is Saying

Surendra
Smrithi
Pavan
Jennifer
Lindsay
Lauren

Wise Compensation & Benefits Highlights

  • Equity Value & Accessibility Equity is granted to all employees via time‑based RSUs/stock awards, aligning staff with company performance. This broad accessibility makes ownership a core part of total rewards.
  • Leave & Time Off Breadth Policies include a global minimum of 33–36 paid days off and a paid six‑week sabbatical after four years with a cash stipend. The sabbatical is positioned as a standard milestone benefit in addition to annual leave.
  • Parental & Family Support Wise commits to a minimum of 18 weeks’ fully paid parental leave for birth or adoption across many offices. Eligibility rules and tenure may apply by location while maintaining a companywide minimum standard.

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The Company
9,000 Employees
Year Founded: 2011

What We Do

Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.

Why Work With Us

We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.

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Wise Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.

Typical time on-site: Flexible
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