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Threat Intelligence Analyst

London
Posted 1 day ago
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Threat Intelligence Analyst

hackajob is collaborating with Wise to connect them with exceptional professionals for this role.

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.

Job Description

More about our mission and what we offer.

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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.

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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.

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Skills

Threat Intelligence
Fraud Analysis
Financial Crime
Data Analysis
SQL
Python
Kill-Chain Modeling
Risk Detection
Counter-Fraud Strategies
Communication
Stakeholder Influence
Behavioral Features
Detection Rules
Data-Driven Insights
Investigative Support
Cross-Functional Collaboration

Location

London, England, United Kingdom

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