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Actuarial Engineer Manager
Key Responsibilities Lead a team of engineers to develop scalable data solutions and ensure data accuracy and integrity Develop and maintain actuarial capabilities and pricing strategies using Python in a cloud-based ecosystem Collaborate with the...ensure data governance compliance Required Qualifications Bachelor's degree in Computer Science, Data Engineering, Data Analytics, or a related field 5+ years of experience in solution or data engineering and managing technical teams 3+ years of Python
Senior Credit Risk Analyst
communicate results related to allowance for credit losses to stakeholders Required Qualifications Undergraduate Degree (4 years or equivalent) required Minimum of 4+ years in credit risk management, accounting, or related experience Proficient in Python
Credit Risk Analyst
document qualitative adjustments and maintain supporting documentation Required Qualifications Undergraduate Degree (4 years or equivalent) required Minimum of 2+ years in credit risk management, accounting, or related experience Proficient in Python
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Senior Software Engineer
release cycles for high-quality product releases Collaborate with cross-functional teams to define product features and improve engineering processes Key Qualifications: 5+ years of full stack software development experience Proficiency in Django, Python
Fraud Analytics Manager
A company is looking for a Manager Fraud Analytics (Python, SAS, SQL).
Data Science Senior Manager
in a quantitative discipline and at least 6 years of relevant experience, or a Bachelor's degree with at least 7 years of relevant experience Advanced proficiency in SQL/NoSQL and data retrieval techniques Expertise in programming languages such as Python
Senior Credit Manager
strategy improvements Required Qualifications 7+ years of experience in consumer lending or credit strategy Direct experience in the credit strategy analytical life cycle Proficient in data exploration and credit modeling using Excel, SQL, and Python
Lead BSA Data Scientist
Bachelor's degree in data science, Computer Science, Statistics, Finance, or a related field 5 years of experience in data science, analytics, or financial crime prevention Strong knowledge of BSA, AML, KYC, and financial regulations Expertise in Python
Marketing Pricing Analyst
., Python, R) Experience with data visualization tools such as Tableau or Power BI Understanding of pricing strategy, A/B testing methodologies, and ROI measurement
Data Analyst, Wealth Management
field 5+ years of data analytics and reporting experience, preferably in Company services Strong understanding of business concepts, metrics, and processes within the relevant domain Experience with data mining technologies such as Alteryx, R, Python
