דרושים » תוכנה » Business Intelligence Engineer - Fair Lending

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אורפלי ייעוץ והשמה
Job Type: Full Time
We are seeking an experienced Business Application Analyst with a strong focus on
optimizing business processes to join our team.
The ideal candidate will have a deep understanding of various business functions
and a proven track record of leveraging technology solutions to streamline
operations, enhance efficiency, and drive organizational growth.
As the Business Application Analyst, you will play a vital role in analyzing, designing,
and implementing process improvements across the organization.
Requirements:
Bachelor #39;s degree in Business Administration, Management,

Information Systems, or a related field.
Proven experience (5 years) as a Business Application specialist or
similar role with a focus on optimizing business processes.
Strong expertise in business process analysis, design, and
improvement methodologies.
Experience with process mapping, workflow automation, and
technology integration.
Solid understanding of various business functions such as sales,
finance, and operations.
Excellent analytical and problem-solving skills, with the ability to
translate business needs into effective solutions.
Strong communication skills and the ability to collaborate with diverse
teams across the organization.
Self learner and self motivated.
Relevant certifications in business process optimization or project
management are highly desirable.
Project management experience and
This position is open to all candidates.
 
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3 ימים
magnus metal LTD
Location: Bet Shemesh
Job Type: Full Time
we are reinventing casting
The system Performance Engineer defines, leads, coordinates and performs system performance
research assessments and optimization tasks.
Detailed system performance requirement definition
Definition of modules/sub system specifications and performance requirements
system performance optimization
Definition of modules and sensors for process control
Definition of system parameters and calibration procedures
Design of experiments for modules and system performance evaluation
Coordination/ execution of system /modules experiments
data analysis and reporting of experiments, recommending improvement path
Training of application, process engineers and tool owners
Initiation of system IP activities
moving to Revadim on June 2024
Requirements:
B.Sc/M.Sc in science/engineering studies or M.Sc in system engineering
5 years of experience working with complex multidisciplinary systems (3D printing preferable)
Great system perception
Intellectual curiosity, self-motivation and ability to communicate within and across teams
Team player - Excellent communication and interpersonal skills
Strong analytical and data processing skills
Highly motivated, enthusiastic hands on
Good English written and spoken
Ability to work in a methodic and orderly manner in R D environment
Fast and self learning skills. Eager to learn new technologies and analyze complex technical problems
Experience in developing SW tools for data processing (e.g. Matlab, Python, R, Advanced Excel, etc..)
Flexibility under technical and schedule constraints
This position is open to all candidates.
 
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פורסם ע"י המעסיק
6 ימים
חברה חסויה
Location: Jerusalem
Job Type: Full Time
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
Requirements:
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
23/05/2024
חברה חסויה
Location: Jerusalem
Job Type: Full Time and Hybrid work
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.
Requirements:
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.
This position is open to all candidates.
 
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פורסם ע"י המעסיק
6 ימים
חברה חסויה
Location: Jerusalem
Job Type: Full Time
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
Requirements:
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
07/05/2024
חברה חסויה
Location: Jerusalem
Job Type: Full Time and English Speakers
We are looking for a Senior BI Developer.
The BI team makes sure we are data driven in all its decisions.
We are the team that incorporates product, marketing and finance data to get a full picture of our business status.
Our team defines and builds the data pipelines and analytics infrastructure while performing cross-app analysis and visualizations. We work closely with analysts, data scientists and other stakeholders to facilitate their work and align everyone to create one source of truth.
What you will be doing:
Collaborate with stakeholders from different departments to capture analytical requirements
Develop data pipelines and build data infrastructure including data quality
Data ownership - define, document and integrate KPIs across the company
Define and monitor KPIs for various departments in the company
Build high level dashboards
Analyze large datasets, and provide useful actionable recommendations
Requirements:
Minimum 3 years of professional experience in BI Development or Data Engineering roles
Demonstrated expertise in designing, constructing, and maintaining efficient data pipelines using DBT or Python
Design, build and optimize big data solution (GCP an advantage)
Advanced SQL skills are essential
Skilled in using Git
Strong ability to interpret data and convert it into actionable insights
Experience with data visualization tools (Tableau, Looker etc.)
Competency in Python programming is highly desirable
Exceptional analytical abilities, especially in extracting meaningful insights from large and complex datasets.
High level of English
An academic degree in a quantitative discipline - A plus
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
07/05/2024
Location: Jerusalem
Job Type: Full Time and Hybrid work
We are looking for a Data Science Researcher - Finance and Marketing.
What you will be doing:
As a data scientist in the Business Data Science team, you will be leading finance and marketing projects with focus on time series handling.
Lead machine learning based projects from business requirements, through research, evaluation, production implementation and monitoring.
Work on diverse problems and domains, and work with several stakeholders on a daily basis including finance and marketing managers, developers, BI analysts and more.
Build ML and statistical models based on historical revenue streams and usage data to predict different KPIs. For example, LTV, campaigns ROI, users attribution and more.
Requirements:
3+ years of experience as a data scientist in the industry, experience from b2c companies is a plus.
High communication skills, understanding business needs, and combining the business case into the data science area in order to leverage decision making.
Deep understanding of classical ML & DL algos for a wide spectrum of problems and domains. Time series modeling - must.
MSc or PhD in Computer Science, Data Science, Statistics or a related field.
Proven hands-on experience developing and researching algorithms in various fields and data science/machine learning techniques such as: boosting algorithms, time series models, clustering, anomaly detection methods, and more.
Proven experience in taking projects through all the stages of a new ML model, from data analysis and labeling to prototyping, implementation in a production environment, and monitoring and maintenance. Delivery oriented.
Proficiency with Python and SQL.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
29/05/2024
Location: Rehovot
Job Type: More than one
We are looking for an experienced Customer Success Analyst to join our Global Customer Success Group, located in Rehovot, Israel for a temporary duration.
What you will be doing:
In this role you will be part of the customer success group and will be in charge of the following:
Implementing Customer Master Data processes and interfaces at the company ERP system (Oracle) and SFDC (CRM) including Data cleansing and merge processes
Maintain/monitoring Customer Master Data & IB master data- assure data integrity, cleansing, merge process and ongoing monitoring.
Defining and implementing reports - Data business analysis per specific requests
Generate ongoing Periodic operational reports - Identify regional process issues out of the periodic reports and implement corrective actions.
Provide Ongoing Support to the different stakeholders in the company.
Responsible for managing CS projects including processes definitions /workflows till execution.
Requirements:
Must have for this role:
Experience in working closely with the regions at a global company
Knowledge in SalesForce (an advantage), Oracle, including integration experience
High analytical capabilities
Fluent English writing & speaking
Ability to initiate and drive operational efficiency and change processes
Experience in creation and implementation of workflows and processes
B.Sc. in industrial & management engineering or Associate degree in Business at least 2 years working experience in global company with one of the leading ERP systems.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
5 ימים
Location: Rehovot
Job Type: Full Time
We are hiring a computational researcher to develop ML/AI tools and investigate molecular mechanisms underlying neurodegeneration.
Projects are highly collaborative and will draw on various techniques, including deep learning for computer vision, statistical genetics, causal inference, and multi-omics studies.
In this position, you will initiate, lead, design, and implement AI/ML-driven biomedical studies with domain experts (biologists/clinicians). We integrate multidisciplinary biology and data science methods, real-world human clinical data, and molecular experiments. We aim to leverage AI/ML and develop powerful bio-medical predictive models. We also translate the molecular mechanisms we have discovered that underlie neurodegeneration into potential therapies.
Requirements:
MSc/PhD in machine learning, (bio)statistics, computer science, OR equivalent work experience delivering state-of-the-art AI/ML solutions
2+ years of hands-on experience in AI/ML.
Fluency in Python (a must).
Experience developing in a Linux environment.
Enthusiasm to work in an academic environment.

Preferred Qualifications:
ML for healthcare, disease biology, or medicine background.
Scientific publications in AI/ML (NeurIPS, ICML, ICLR, Aers), computational biology, or bioinformatics venues.
Experience working with high-throughput biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images)
Rstudio.
Please share a brief statement of research interest/cover letter with your CV (including a list of publications) and contact information of 1-2 references.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
07/05/2024
חברה חסויה
Location: Jerusalem
Job Type: Full Time
We are looking for a Data Science Researcher.
What you will be doing:
Lead machine learning based projects from ideation, through research, evaluation, production implementation and monitoring.
Conduct independent applied research and innovation in new content and technological domains.
Truly understand data and draw practical conclusions from it.
Work with engineers, designers and product managers to produce new initiatives and improvement ideas.
Keep abreast of new research developments in academia and expose them to all team members and stakeholders.
Requirements:
M.Sc or Ph.D. degree in a technical field from a top tier university or equivalent experience.
4+ years of experience in leading machine learning related projects (e.g. recommendation systems, search, natural language processing, large language models).
Experience with deploying machine learning models to production.
Python experience & SQL skills - a must.
Demonstrated ability to generate new ideas and innovate.
Research track record including main contributions to projects you can showcase, peer-reviewed research publications, etc.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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