Founding Solutions Architect

Pivotal Partners is exclusively partnered to scale a Series B ($40mil) Gen AI startup. We are looking to expand our EMEA presence by hiring our Founding Solutions Architect in the region to help with our growing customer base.

Location: UK (Remote)

Job Description:

As a Solutions Architect, you will play a key role in designing, developing, and implementing advanced fraud detection and prevention solutions. You will work closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our solutions are robust, scalable, and effective. This role requires a deep understanding of machine learning algorithms, data science techniques, and a passion for solving complex problems.

Key Responsibilities:

• Design and develop fraud detection, prevention and AML solutions using advanced machine learning algorithms and statistical techniques.
• Collaborate with data scientists and engineers to build scalable and efficient data pipelines for handling large datasets.
• Analyze complex data sets to identify patterns, anomalies, and potential fraud activities.
• Implement data cleaning, transformation, and quality assurance processes to ensure the accuracy and reliability of data.
• Communicate complex concepts and findings to both technical and non-technical audiences, providing actionable insights.
• Serve as the primary technical point of contact for customers, utilizing tools such as Elasticsearch, Snowflake, AWS S3, AWS Lambda, and PostgreSQL.

Requirements:

• 4+ years of experience in data science or machine learning, or a related field, with a focus on fraud detection, prevention or anti-money laundering.
• In-depth knowledge of risk domains, such as AML, KYC/KYB, Fraud, or Underwriting.
• Hands-on experience with AWS technologies, including Lambda, CloudWatch, and Cognito.
• Proficient in Python scripting.
• Proficiency in Python.
• Skilled in PostgreSQL
• Experience working with large datasets and handling data-related challenges such as data cleaning, data quality, and data transformation.
• Excellent analytical and problem-solving skills, with the ability to derive actionable insights from complex data.