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Fraud Analytics Manager (US)

About Lendable

Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier.

  • We're building one of the world’s leading fintech companies and are off to a strong start:

  • One of the UK’s newest unicorns with a team of just over 400 people

  • Among the fastest-growing tech companies in the UK

  • Profitable since 2017

  • Backed by top investors including Balderton Capital and Goldman Sachs

  • Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to

  • Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

  • Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

  • Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

About Lendable


Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier.

 

> We're building one of the world’s leading fintech companies and are off to a strong start:

> One of the UK’s newest unicorns with a team of just over 400 people

> Among the top 10 fastest-growing tech companies in the UK

> Profitable since 2017

> Backed by top investors including Balderton Capital and Goldman Sachs

> Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)


So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

 

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.



Join us if you want to


> Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

> Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

> Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting


About the role


We are looking for a Fraud Analytics Manager to lead and scale our fraud prevention strategies across personal loans and credit cards. In this role, you will drive the design, implementation, and optimization of fraud detection models and strategies. You will work closely with other business areas, including product, data science, engineering, and operations, to stay ahead of emerging fraud threats.


This role will report to the Lead Product Manager of US Cards.

What you'll be doing

  • Strategy Development: Design and implement end-to-end fraud detection strategies (first party and third party) for personal loans and credit cards across the product lifecycle (customer acquisition, account takeover/credit card transactions, and payments).

  • Data Analysis and Insights: Analyse usage patterns and trends to measure and optimize the effectiveness of existing fraud strategies, including balancing value from fraud prevention vs. opportunity cost of false positives. In addition, manage the suite of dashboards and tools to monitor key fraud metrics and quickly detect fraud attacks.

  • Fraud Operations: Work closely with operations to continue improving workflows and case management for fraud investigations and build out and enhance fraud operations processes.

  • Benchmarking: Participate in industry roundtables and events to research new fraud technologies and trends.

Your experience

  • Experience: 3+ years of experience in fraud analytics for unsecured lending products, ideally with credit cards; familiarity working with third-party fraud detection tools.

  • Technical Skills: Proficiency in SQL or Python for data analysis; familiarity with decision trees or other predictive modelling is a plus

  • Domain Knowledge: Familiarity with applicable laws and regulations that impact Zendable’s business including BSA, OFAC, GLBA, TILA including the Credit Card Accountability, Responsibility and Disclosure (CARD) Act of 2009, FCRA, UDAAP, FDCPA, ECOA, E-Sign, EFTA, and NACHA. 

  • Education: Bachelor’s degree in a quantitative field (e.g., statistics, mathematics, economics, or data science).

Life at Lendable


> The opportunity to scale up one of the world’s most successful fintech companies.

> Best-in-class compensation including equity.

> You can work from home every Monday and Friday if you wish - on the other days, we all come together IRL to be together, build and exchange ideas.

> 401k plan and medical insurance (optical + dental covered)


Check out our Glassdoor page for more insights!

Life at Lendable (check out our Glassdoor page)

  • The opportunity to scale up one of the world’s most successful fintech companies.

  • Best-in-class compensation, including equity.

  • You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas.

  • Our in-house chef prepares fresh, healthy lunches in the office every Tuesday-Thursday

  • We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance

  • ​We're an equal opportunity employer and are looking to make Lendable the most inclusive and open workspace in London

Check out our blog!

Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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What You Should Know About Fraud Analytics Manager (US), Lendable

At Lendable, we're on a mission to revolutionize consumer finance, and we're seeking a skilled Fraud Analytics Manager to join our dynamic team in New York. As part of one of the UK's newest fintech unicorns, your role will be pivotal in shaping our fraud prevention strategies across personal loans and credit cards. You'll dive deep into data, developing and optimizing fraud detection models and strategies that not only safeguard our clients but drive innovation within the industry. Collaboration is key, and you will work closely with passionate teams in product, data science, engineering, and operations to tackle emerging fraud threats head-on. You’ll relish the opportunity to design end-to-end fraud detection strategies, analyze user behavior for fraud insights, and optimize workflows for seamless fraud operations. We’re looking for someone who has 3+ years of experience in fraud analytics, preferably with unsecured lending products and a solid grasp of predictive modeling. If you thrive in a fast-paced environment, want to make a real impact from day one, and are excited about using cutting-edge technology, then you’ll find Lendable to be the perfect place for your talents to shine. Join us and play a crucial role in bringing a faster, cheaper, and friendlier finance experience to our customers while enjoying best-in-class compensation and a flexible work environment!

Frequently Asked Questions (FAQs) for Fraud Analytics Manager (US) Role at Lendable
What are the main responsibilities of a Fraud Analytics Manager at Lendable?

As a Fraud Analytics Manager at Lendable, your main responsibilities will include developing end-to-end fraud detection strategies for products like personal loans and credit cards, analyzing data to assess the effectiveness of these strategies, and enhancing fraud operations processes. You will collaborate with various business units to ensure comprehensive fraud prevention measures are in place while staying ahead of evolving threats.

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What qualifications are required for the Fraud Analytics Manager position at Lendable?

To be considered for the Fraud Analytics Manager role at Lendable, candidates should have a Bachelor’s degree in a quantitative field and a minimum of 3 years’ experience in fraud analytics for unsecured lending products. Proficiency in SQL or Python is crucial for data analysis, and familiarity with predictive modeling will be advantageous.

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How does Lendable measure the effectiveness of its fraud strategies?

Lendable measures the effectiveness of its fraud strategies by analyzing usage patterns and trends to gauge their success, including the balance between preventing fraud and minimizing false positives. This analysis helps to continually refine the fraud detection models and ensures that they align with the company's overall goals.

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What tools might a Fraud Analytics Manager at Lendable use?

A Fraud Analytics Manager at Lendable can expect to use a variety of analytical tools and programming languages, particularly SQL and Python for data analysis. Additionally, the role may involve adopting third-party fraud detection tools and developing dashboards to track key fraud metrics and performance indicators.

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Can the Fraud Analytics Manager work remotely at Lendable?

Yes, the Fraud Analytics Manager at Lendable can enjoy flexibility in their work environment. Employees are encouraged to work from home on Mondays and Fridays, fostering a balanced approach to teamwork and collaboration.

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Common Interview Questions for Fraud Analytics Manager (US)
Can you describe your experience with fraud detection strategies?

When answering this question, provide specific examples of your previous roles where you successfully developed and implemented fraud detection strategies. Highlight any measurable impacts your initiatives had on reducing fraud and improving operational efficiency.

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What techniques do you use to analyze fraud patterns?

Discuss the analytical techniques and tools you’ve used to identify fraud patterns. Mention specific methodologies, such as data mining, statistical analysis, or machine learning, and explain how you applied these to real-world scenarios.

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How do you ensure collaboration across different teams at Lendable?

Emphasize the importance of open communication and regular meetings to foster collaboration. Provide examples of how you’ve successfully worked with other departments, such as data science and engineering, to enhance fraud detection efforts.

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What experience do you have with regulatory compliance in fraud management?

Outline your understanding of regulatory compliance, mentioning relevant regulations like BSA, OFAC, and others specified in the job description. Provide examples of how you’ve ensured compliance in your previous roles.

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How do you stay updated on emerging fraud trends and technologies?

Talk about your commitment to professional development through industry-specific conferences, online courses, and networking with other professionals. Mention any roundtables or discussions you have participated in to stay abreast of the latest trends.

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What role does data play in your fraud management strategy?

State that data is fundamental to developing effective fraud management strategies. Discuss how you leverage data analytics to identify opportunities for improvement and to measure the success of your initiatives.

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Can you give an example of a significant fraud incident you managed?

Provide a clear, concise narrative of a significant fraud incident you were involved in. Discuss the steps you took to investigate, resolve the issue, and implement changes to prevent future incidents.

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How do you handle false positives in your fraud detection models?

Explain your approach to minimizing false positives. Discuss how you analyze false positive cases to refine your models and improve the accuracy of fraud detection while ensuring legitimate transactions are not unnecessarily flagged.

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What is your approach to training teams on fraud prevention?

Share your strategies for training and guiding teams on fraud prevention best practices. Mention how you create training materials, conduct workshops, or use real case studies to enhance their understanding of fraud detection.

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Why do you want to work for Lendable as a Fraud Analytics Manager?

When answering this, relate your passion for fintech and how Lendable’s mission to make consumer finance faster and friendlier resonates with you. Highlight specific aspects of the company culture and growth that appeal to you, connecting them with your professional experience.

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Founded in 2014, Lendable offers loans to consumers by matching them with investors. It aims to make loan applications easier and quicker by using technology to automate credit decisions and give borrowers instant, personalized interest rates. Len...

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Full-time, hybrid
DATE POSTED
January 28, 2025

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