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Risk&AI Manager

Work from home

Remote role where the employee must remain based in a particular country.

Colombia only

From the listing details: Source listing states candidate location: "Colombia Remote"

Employer listed it 13 days ago · Added 4 weeks ago

Been open since 4 weeks ago, still being checked, but it has been live a while.

Salary

Not stated

Location

Colombia only

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Customer Support

The employer did not publish a salary, and we have too few comparable roles to estimate one.

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey.
Contract
Not mentioned in the advert
Experience asked for
Not mentioned in the advert
Pay
We use trusted AI to detect and prevent financial crime, fraud, and money laundering at scale: the world's top banks, payment networks, and acquirers trust our technology to safeguard more than one billion consumers and $9 trillion in…

Remote flexibility

Work from home

This is a remote role, but the employee must be based in Colombia. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Colombia Remote"

What Nomaders makes of it

  • Residency required in Colombia
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

At Feedzai, we're building a world of safer money. A world where financial institutions move faster than criminals. Where the payments that fund real lives through salaries, savings, and businesses are protected in real time. We use trusted AI to detect and prevent financial crime, fraud, and money laundering at scale: the world's top banks, payment networks, and acquirers trust our technology to safeguard more than one billion consumers and $9 trillion in payment volume every year.

Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.

You:

We are looking for a highly motivated and technically strong leader to join our Customer Success organization as a Risk & AI Manager . You will lead a cross-functional team of Risk Consultants, Data Scientists, and Business Analysts who work side-by-side with some of the world’s largest financial institutions and merchants to help them fight fraud and unlock the full value of Feedzai’s platform.

Your team’s mission is to ensure clients extract measurable value from Feedzai by delivering optimized fraud strategies, machine learning models, business-aligned risk logic, and data insights. You will manage a portfolio of high-impact client projects, lead technical and strategic decision-making, and grow a team of domain experts and problem solvers who understand both the product and the business.

Your Day to Day:

Lead a distributed team of Risk Consultants, Data Scientists, and Business Analysts across multiple client engagements (typically 6–8 active projects);

Ensure the delivery of fraud detection strategies, rules, models, and analysis that meet client goals and align with Feedzai's best practices;

Translate complex business objectives into data-driven solutions and clear technical action plans;

Guide the integration and validation of Feedzai’s real-time and batch analytics into client environments;

Support your team in identifying misfit cases, scoping performance improvements, and proactively recommending enhancements;

Collaborate with Engineering, Product, and Delivery to align on scope feasibility, performance requirements, and long-term strategy;

Mentor your team, manage performance reviews, and support professional development through feedback, coaching, and career planning;

Stay current with fraud patterns, machine learning best practices, and how they apply in real-world financial systems.

You Have and Know-How:

MSc or PhD in Computer Science, Engineering, Applied Math, Physics, Statistics, or another technical/quantitative discipline;

Strong background in data science, fraud detection, or real-time decision systems;

Hands-on experience with machine learning, data analysis, and scripting languages such as Python or R;

Familiarity with big data platforms such as Spark, Hadoop, or cloud-native data pipelines;

Experience managing technical teams in cross-functional delivery environments;

Ability to navigate ambiguity, translate between technical and business needs, and prioritize effectively under pressure;

Excellent communication and storytelling skills — able to work with both client SMEs and Feedzai's internal stakeholders;

Experience in financial crime prevention (fraud, AML, risk strategy) is highly valued;

The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join Us! #LI-Remote #LI-BX1

Requirements

  • ·MSc or PhD in Computer Science, Engineering, Applied Math, Physics, Statistics, or another technical/quantitative discipline;
  • ·Strong background in data science, fraud detection, or real-time decision systems;
  • ·Hands-on experience with machine learning, data analysis, and scripting languages such as Python or R;
  • ·Familiarity with big data platforms such as Spark, Hadoop, or cloud-native data pipelines;
  • ·Experience managing technical teams in cross-functional delivery environments;

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Feedzai, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 29d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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