לוח משרות דרושים איש ביג דאטה Big Data משרה מלאה

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

We are looking for an experienced Senior Data Engineer to join our 'Data & AI' group. As a key member of our team, you will play a crucial role in designing and building data models, developing infrastructure, and optimizing data processes to support our data analysis, data science and engineering teams. You will collaborate with various stakeholders to ensure efficient data ingestion, processing, and analysis, contributing to the overall success of our data-driven initiatives.
Key Responsibilities:
Design and build robust data models and infrastructure to support data science and engineering teams.
Develop and optimize data processes, including ETL/ELT pipelines, for efficient data ingestion and processing.
Identify and understand business processes to derive actionable insights from the data.
Collaborate with BI analysts to create comprehensive reports and dashboards.
Implement and maintain scalable data solutions in a high-volume production environment.
Utilize modern technologies such as M3DB, Open-Search, Grafana, etc., for data processing and analysis.
Lead design initiatives for new products and contribute to best practices.
Work closely with cloud providers like AWS for data storage, computation, and orchestration.
Stay updated with advancements in data engineering, big data, and cloud technologies.

we are looking for a curious, adaptable, experienced, and creative QA Engineer to join our successful and growing R&D team.
What Youll Do
Write and maintain integration, sanity, and regression tests for our Production products and services
Create clear test plans that will be executed by them and team members
Create and maintain documented coverage of tests
Review and analyze test results
Work on CI/CD tools (Git, Jenkins, JIRA) daily
Take part in all scrum activities (estimation sessions, planning, reviews)

Were seeking a Data Specialist with strong analytics skills to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this unique role, you'll own and architect the data tagging landscape . You'll go beyond performing tagging tasks to design and implement the processes and systems that will govern future data labeling efforts. You will leverage your expertise alongside Prompt Engineers and Product Managers. As you grow, you'll build and lead a team of part-time Data Taggers, ensuring consistency and quality in tagging processes.

Sound like your perfect fit? We want to hear from you!

As a Data Specialist, you will be responsible for owning data tagging foundation and ensuring top-quality data through hands-on tagging, system design, and collaboration. In this role, you will:

Perform hands-on data tagging to ensure accuracy and completeness, develop and implement tagging standards and guidelines, and work across various data sources to maintain consistent and high-quality tagging.
Design and establish foundational processes for data tagging, monitoring, and evaluation, develop a comprehensive tagging framework and best practices. Implement systems for continuous monitoring of data quality and tagging accuracy, create and maintain documentation, evaluate and improve tagging processes, and generate regular reports on tagging performance and metrics.
Inspire and lead a dynamic team of data tagging professionals, empowering their performance, and driving a culture of excellence amidst a fast-paced, ever-evolving environment.
Work closely with other departments to understand their data needs and ensure tagging processes align with goals. Communicate regularly with stakeholders on tagging initiatives and performance, and act as the primary point of contact for tagging-related issues and all monitoring and evaluation tasks, ensuring remains top in class.

hiring a Data infrastructure Engineer to join our talented team building data infrastructure with modern technologies.

You will build Data platform. Our business is built and powered by data join us for the data democratization revolution!

If youre looking for challenges with Data solutions, running cutting-edge big data architecture, then look no further. Our complex environment of over 3 billion individual profiles and over 12 billion historical records will ensure that youll help solve big data challenges while working in continuous integration and deployment. Youll help build an online platform with life-changing emotional value for millions of families around the globe.

As a Research Analyst for the MidCore market, the new team member will be focused on analyzing the RPG gaming market from a qualitative and quantitative approach, examining financial reports and performing ad-hoc research. They will break down games and game features to fully understand the Gaming Market from all sides.
The research analyst will present the findings to the internal customer at all levels of the organization and deliver structured reports. We are looking for an analyst who wants to discover what the questions are and then figure out how to answer them from a quantitative and qualitative point of view. A passion for video games is a must!
Responsibilities:
Monitoring and analyzing the gaming market
Reviewing Financial Reports
Presenting reports to all levels of management
Breaking down new games
Deeper Ad Hoch Research as needed
Work with a wide range of internal clients

The research department is responsible for the analysis of
players research, competitive offering and market trends.
As a Survey Analyst, the new team member will perform
customer research for product and marketing departments.
The research analyst will present the findings to the internal
customer and deliver a structured report.
Responsibilities:
Design and write questionnaires independently.
Perform statistical analysis of surveys independently.
Create new research methodologies.
Presenting reports to all levels of management.
Work with a wide range of internal clients.

we are looking for data Engineer to work on data processing pipeline and lead our data lake and data warehouse building, to help to deliver more insights and scale our data infrastructure. You will have a chance to contribute to the company's evolving culture, bring innovative approaches and learn from your talented colleagues.
Designs and develops programs and tools to support data ingestion, curation, and provision of complex enterprise data to achieve analytics and reporting on our current technology stack Designs and builds data extracts, integrations, and transformations Provides successful deployment and provisioning of data solutions to required environments Designs and builds data architecture and applications that successfully enable speed, quality, and efficiency pipelines Interacts with cross-functional customers and development team to gather and define requirements Develops understanding of the data and builds business acumen Reviews discrepancies in requirements and resolves with stakeholders integrations are automated and have proper exception handling

We are lookong for a data Analyst to join our data team. We're looking t for a creative, smart, team member
Responsibilities:
Create, implement, and maintain customized dashboards and other business intelligence ( BI ) platforms for our valued customers.
data -Driven Insights - Apply advanced analysis
Lead the charge in data collection procedures and streamlining the post-processing of structured and unstructured data.
Work closely with data science, product, engineering, and UX / UI teams to deliver user-friendly, informative analytical interfaces.

For well-funded start-up, we are looking for Senior data Scientist Responsibility Develop large-scale ata science models Work together with the R&D team to d Partner with product managers Help build a methodology for designing and evaluating experiments