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Amount is a technology company that provides a unified digital origination and decisioning platform for financial institutions. Their mission is to help banks and credit unions enhance their digital journey through streamlined processes encompassing loan origination and deposit account openings. With a strong focus on fraud orchestration and risk management, Amount enables their clients to maintain control over risks while ensuring optimization of performance and stronger security measures. Their clientele includes financial institutions managing over $3.1 trillion in assets and serving more than 50 million U.S. consumers.
Inclusion, diversity, and a sense of belonging are at the core of Amount's principles. They actively engage in promoting diverse representation within their workforce and foster an environment that encourages everyone to bring their authentic selves to work. Candidates are expected to wholeheartedly embrace this culture of inclusivity.
The company seeks to fill the position of Director of Fraud, Risk, and Data Science. This strategic leadership role involves ownership of the company's model development, specifically focusing on fraud and risk management. The successful candidate will be responsible for overseeing the lifecycle of in-house models, enhancing their performance via advanced machine learning techniques, and shaping Amount’s long-term fraud and risk management strategies. In this role, the candidate will engage with both internal teams and external clients to maximize the product performance these models enable.
Model Development and Management: Overseeing the inception, evolution, and performance monitoring of proprietary models using advanced analytics and machine learning algorithms.
Fraud Prevention: Enhancing core fraud prevention capabilities, identifying needs for model upgrades, and evaluating third-party models to find the best solutions for clients.
Governance and Compliance: Acting as a subject matter expert on all models, handling model validation inquiries, and ensuring models meet regulatory requirements.
Customer Collaboration: Regularly interfacing with customers to maximize product potential, gain insights, and inform future enhancements.
Cross-Department Collaboration: Working alongside teams from Product, Engineering, and Customer Success to guarantee optimal model integration and performance.
Data Insight Analysis: Utilizing large datasets to uncover trends and insights that may affect product innovation and client performance.
Candidates applying for this position are expected to possess the following qualifications:
A minimum of 7 years of professional experience in a data science role, specifically within financial services or the fintech industry, with a focus on credit and/or fraud risk management.
A bachelor’s degree in relevant fields such as Data Science, Statistics, Mathematics, or Computer Science.
Proficiency in programming languages like Python and SQL, crucial for data manipulation and analysis.
Expertise in developing, validating, and implementing machine learning models, alongside knowledge of decision tree analysis.
Strong analytical capabilities with a firm grasp of statistical principles for solving complex business problems.
Excellent communication skills to effectively convey complex ideas to both technical and non-technical stakeholders.
A problem-solving mindset and ability to tackle ambiguous challenges.
Although not mandatory, the following skills would be advantageous:
Experience working with large datasets stored on cloud-based platforms (e.g., AWS, GCP, Azure).
Familiarity with model validation best practices and regulatory requirements in the financial arena.
A background in client-facing roles or consulting, highlighting expertise in customer interaction.
The salary range for this position is between $165,000 and $192,500. Employees at Amount are also eligible for annual performance bonuses as part of the company's commitment to shared success.
Details about the benefits package and perks can be found through the company's official sources, indicating a desire to support employees well beyond just salary.
The Director of Fraud, Risk, and Data Science role at Amount represents an opportunity for an experienced data scientist to play a pivotal role in advancing fraud and risk management strategies within a leading fintech company. Ideal candidates will not only bring valuable expertise but also an alignment with Amount’s culture of diversity, inclusion, and innovation.
This job offer was originally published on himalayas.app
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