We are The Data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis. You will Collaborate with cross-functional teams to understand business requirements, data needs, and project priorities, ensuring alignment of data engineering and BI initiatives with strategic objectives Work closely with business users to define KPIs, metrics, and performance indicators, ensuring alignment with strategic objectives and business priorities Develop and maintain interactive dashboards, reports, and data visualizations using BI tools such as Power BI, Tableau, or similar platforms Extract, clean, transform, and load (ETL) data from various sources such as databases, APIs and spreadsheets to support reporting and analysis activities Perform in-depth data analysis to identify trends, patterns, and insights that drive business decisions and improve operational efficiency Provide training and support to end-users on BI tools and dashboards, empowering them to self-serve and explore data-driven insights Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices You have
* 5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must
* Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field - Must (Advanced degree an advantage)
* 3+ years of experience in business intelligence, data analysis, or a related role, preferably in a consulting or corporate environment- Must
* Proficiency in BI tools such as Power BI, Tableau, AWS QuickSight, or similar platforms, with hands-on experience developing interactive dashboards and reports Must
* Strong analytical skills, with the ability to analyze complex data sets , draw meaningful conclusions, and communicate insights effectively to stakeholders - Must
* Knowledge of data visualization best practices , including design principles, usability, and accessibility standards - Must
* Familiarity with programming languages such as Python or R for data analysis and visualization
* Ability to collaborate with cross-functional teams and stakeholders at all levels of the organization
* Strong attention to detail, with a focus on data accuracy, completeness, and reliability
* Ability to work independently and as part of a team in a fast-paced environment
* Exhibit problem solving skills, strategic thinking, and anticipate future trends and challenges A Bonus
* Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) or other consumer financial protection laws and regulations preferred
* Certification in business intelligence, data analytics, or related field an advantage
* Experience in the financial service sector an advantage
* Experience with big data technologies and frameworks for large-scale data processing and analytics an advantage
* Understanding of industry-specific data and business processes in sectors such as finance and credit an advantage
* Experience with data modeling, data warehousing, and ETL processes an advantage
*  Experience working with cloud-based BI solutions such as Microsoft Azure, AWS, Google Cloud an advantage Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions f

Required Business Intelligence Engineer
DESCRIPTION
We are:
The Data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis.
You will:
Collaborate with cross-functional teams to understand business requirements, data needs, and project priorities, ensuring alignment of data engineering and BI initiatives with strategic objectives
Work closely with business users to define KPIs, metrics, and performance indicators, ensuring alignment with strategic objectives and business priorities
Develop and maintain interactive dashboards, reports, and data visualizations using BI tools such as Power BI, Tableau, or similar platforms
Extract, clean, transform, and load (ETL) data from various sources such as databases, APIs and spreadsheets to support reporting and analysis activities
Perform in-depth data analysis to identify trends, patterns, and insights that drive business decisions and improve operational efficiency
Provide training and support to end-users on BI tools and dashboards, empowering them to self-serve and explore data-driven insights
Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices.

We are The Data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis. You will Manage a team that will design, develop, and implement predictive models, machine learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination Analyze large datasets and identify patterns, trends, and potential areas of concern related to Fair Lending practices Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions for Fair Lending compliance Develop and maintain of scalable data pipelines, data models, and analytical tools to support fair lending analysis and reporting activities Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices This position reports to the Fair Lending Data Science Manager
You have
* 5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must
* Bachelor's degree in Statistics, Mathematics, Data Science, Economics, or a quantitative field. - Must ( Advance degree an advantage) Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
* Strong knowledge of advanced analytics and machine learning techniques such as regression and classification algorithms including linear and logistic regression, k-nearest neighbors, support vector machines (SVMs) and other techniques
* Experience working with cloud-based data platforms and technologies such as AWS and Sagemaker for scalable data analytics and machine learning
* Strong technical proficiency in data science tools and programming languages such as Python, R, SQL , with experience in developing predictive models and machine learning algorithms
* Experience working with large-scale datasets
* Ability to communicate findings and recommendations to stakeholders
* Strong problem-solving skills while paying attention to detail
* Strong project management skills, with the ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced, dynamic environment
* Ability to facilitate collaboration to achieve project goals A Bonus
* 2+ years of experience in a leadership or management role an advantage
* Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) preferred
* Experience in Fair Lending analytics preferred
* Knowledge of regulatory compliance frameworks and industry guidelines for fair lending risk management an advantage
* Experience with machine learning techniques, such as decision trees, random forests, or gradient boosting an advantage
* Experience with data visualization tools such as Tableau, Power BI an advantage Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions for various financial services, including payments, credit cards, and loans. Globally, Cross River has 900 employees, 170 of whom are based in the R&D center at the Jerusalem offices. We offer a wide range of wellness benefits including ong

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