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RYB Technologies
דרושים בRYB Technologies
Job Type: More than one
We develop cutting edge API driven banking solutions to some of the largest names.

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
Requirements:
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
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
1 ימים
Location: Herzliya
If you see yourself in the front line of the cybersecurity domain as a data forensic and incident response (DFIR) talent, your place is with us. As a DFIR team member, you will participate in hands-on security research and investigations, helping our customers understand and mitigate cyber threats and attacks.
Responsibilities:
Perform incident response lifecycle and real-time activities, including detection and analysis, containment and eradication, and recovery
Perform incident response in a cloud environment (Azure, AWS, etc.).
Perform digital forensics investigations
Research and analyze tactics, techniques, and procedures (TTPs) used by malicious actors
Perform hunt-evil and find-evil activities for proactively detecting attacks
Work closely with our in-house red team, CTI, and cyber architect teams
Work closely with worldwide companies, CISOs, and technology experts
Requirements:
3 years of experience as a DFIR team member
Experience with performing digital forensics in a cloud environment
Experience with performing digital forensics of Windows-based and/or Linux-based platforms, network forensics, and analysis
Thorough understanding of threat hunting models, as well as cyber threat intelligence, including TTP and IoCs extraction and mapping
Experience with research and data analysis of large DBs via Splunk, Elasticsearch, SQL, or VQL
Strong understanding of targeted attacks; able to create customized tactical remediation plans
Good written and verbal English communication skills
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
4 ימים
Location: Ramat Gan
Were looking for a Data Analyst to join our BI team and assist in building and maintaining a robust analytics platform for internal and external purposes. As a Data Analyst, you will serve as an analytics expert, working closely with various departments across the organization to help drive the growth and success of our company.
If you are excited to work in a cutting-edge big data environment and eager to expand our data-driven culture while driving actionable insights to meet ever-changing business needs, wed love to meet you! We seek someone with exceptional analytical skills who is resourceful, bright, proactive, works well independently and as part of a team, and who will be passionate about what they do.
In this role, you will:
Serve as a cross-organization data champion, helping to drive growth and success.
Identify key data-related insights and needle movers across business units.
Drive data value for both internal and external customers, presenting clear and aesthetic Tableau dashboards and reports.
Lead raids into monster-crawling dungeons in search of valuable data loot.
Requirements:
BSc/BA in a highly quantitative field such as Industrial Engineering, Economics, Statistics, or equivalent academic knowledge.
Proven 2 years of experience with Tableau (preferred), Looker, or equivalent, with the ability to communicate insights in a visual and slick manner.
Strong SQL skills (at least 2 years) with experience in querying large and complex data sets.
Excellent verbal and written communication skills (in English).
Experience in an Ad-Tech company.
Proven raiding experience. Dragon slaying is a serious plus.
Bonus Points:
Hands-on experience with Snowflake.
Proficiency with Tableau Server.
Experience in Python scripting and data wrangling.
Experience in various methods of predictive analytics.
A true passion for gaming (i.e., you identify yourself as a gamer).
Experience in the gaming industry.
Familiarity with Airflow.
Can cast resurrection spells while in combat.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
21/10/2024
Location: Tel Aviv-Yafo
Join our Operation team. Help drive our threat monitoring and fraud detection platform securing organization funds all over the world.
Be part of the analysts team, work with customers and key POCs, to provide an additional level of security and confidence, by leveraging unique intelligence feeds, threat logs, and IOCs. Collaborate with our research team and various RnD teams as you help shape our product, help customers be more secure, and immerse yourself to the cyber fraud tech ecosystem.
Proactively monitor and review threats and suspicious events from customers.
Investigate alerts, triage, deep dive, and come up with proper action items and remediation plans.
Use multiple sources of data intelligence trust network, external threat feeds, etc.
Support customer's payment processes and workflows.
Maintain excellent customer satisfaction through professional, proactive and personal service.
Work closely with our research and development team.
Contribute to our knowledge base by creating fraud analysis reports and best practices.
Requirements:
Exceptional analytical skills, creative out-of-the-box thinking, and analytical mindset with research orientation.
Self-initiative, multitasker, can do attitude and problem-solving approach.
At least 2 years of experience with one or more of the following: SOC, Malware Analysis, IT Security, Cyber, Risk Analysis, Fraud Detection.
Experience in research, information collecting, monitoring and analysis.
At least 2 years of experience in building simple tools with Python.
Professional and articulate with excellent written and verbal communication skills.
Fluent English.
Experience working and configuration rule engines - Advantage.
Experience with incident response, and computer forensic investigations - Advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
16/10/2024
Location: Tel Aviv-Yafo
Job Type: More than one
Were looking for curious, intuitive, motivated interns, with an open mind and a willingness to learn about data analytics methodologies and AdTech risk management practices. Wed love to meet and brainstorm with you.
This role is a 10-month full-time position, including Monday, Wednesday and Thursday in our office in Tel Aviv, next to Hashalom train station. Flexible working hours.
Your job will include:
Conducting data driven reviews of potential fraud cases to provide Fraud Analysts feedback on their research theories. Supporting investigations and bringing up leads of your own. Using SQL is part of our daily routine. If youd like, you can also use Python and various Data Science tools and practices.
Written communication with various product, engineering and commercial teams globally. Learning and documentation of methodologies, contributing ideas and testing your hypothesis for the benefit of our clients and our teams.
Optional: Supporting data infrastructure work by performing sanity checks, acceptance testing and light data engineering tasks in big-data environments.
Requirements:
Organized and independently motivated individual
Quick and critical analytical thinking with great attention to details
Working knowledge of SQL, Google Sheets, Drive, and Docs. BI tools (e.g. LookerStudio), DataBricks, Python- an advantage
Work your way independently from an initial lead, but also get inspired from consultations with others
The ability to coherently communicate (in written English)
Creative problem solver
Curious to learn about digital advertising. Experience in the field - an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
 
נאספה מאתר אינטרנט
15/10/2024
Location: Tel Aviv-Yafo
Job Type: More than one
A Product Analyst is responsible for understanding the needs of the company's customers and stakeholders and using data and analytics to inform the development of new or existing products and features.
You will be essential in improving our customer experience, user retention and adoption, and supporting the growth of the products.
So, what will you be doing all day?
Your role as part of the product analytics team means your daily responsibilities may include:
Working closely with members of the product organization (product management, R&D, design, etc.) to drive impact, value, and insights using data in strategic decision-making and throughout the product development cycle.
Use data and analytics to validate product hypotheses and measure the success of new products and features.
Being an expert on the usage, quality, and health of the products
Communicate insights and recommendations to stakeholders in a clear and compelling way
Building strategic relationships across multiple teams.
Collaborating with Product Management to shape, support, and execute product goals that positively impact the product experience
Implementing decision-making based on data culture in the Product organization by creating objectives and measurements.
Requirements:
4+ years of working experience as a product analyst (B2B SaaS experience is a significant advantage)
Experience working with product managers and cross-functional teams
A bachelors degree in a quantitative field.
An expert in SQL
Experience with analytics and visualization tools (Tableau and Mixpanel - advantage).
Strong problem-solving skills and the ability to think strategically
Team players who have excellent communication skills.
Proficiency in English.
Working experience in Python coding is a significant advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
15/10/2024
Location: Tel Aviv-Yafo
We are looking for a talented and dedicated Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of a Data Analyst look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of our data and algorithms.
Utilize your deep understanding of our data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.
Requirements:
At least 2 years of work experience in a Tech Company - Must
At least 2 years experience in Python scripting - Must
Experience with SQL for data analysis -Must
Knowledge and understanding of the statistical principles, concepts, methods, and standards- Must
Hadoop/Spark/AWS Infrastructure experience - Big Advantage
Ability to visualize data and experience with a visualization tool and modules (mlplot, matplolib, sns)- Big Advantage
Excellent verbal and communication skills (in English) - Must
Team player, autodidact, fast learner with excellent analytical, research and business skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
15/10/2024
Location: Tel Aviv-Yafo
We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of a ML & Big Data Analyst look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of our data and algorithms.
Utilize your deep understanding of our data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.
Requirements:
At least 2 years of work experience in a Tech Company - Must
At least 2 years experience in Python scripting - Must
Experience with SQL for data analysis -Must
Knowledge and understanding of the statistical principles, concepts, methods, and standards- Must
Hadoop/Spark/AWS Infrastructure experience - Big Advantage
Ability to visualize data and experience with a visualization tool and modules (mlplot, matplolib, sns)- Big Advantage
Excellent verbal and communication skills (in English) - Must
Team player, autodidact, fast learner with excellent analytical, research and business skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
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פורסם ע"י המעסיק
25/09/2024
Location: Jerusalem
Job Type: More than one
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 are detail oriented with an analytical, logical way of thinking, and are passionate about making data driven decisions. You know how to manage a team while still enjoy working hands-on in the AML world with the SAS tools. This is an open role for a new member of the AML Data Science team responsible for performing analysis on data focused on Anti-Money Laundering/Bank Secrecy Act, interpreting results and developing actionable insights to accelerate operational excellence, demonstrate compliance and mitigate risk.
You will
* Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data driven decisions.
* Collaborate with various partners to provide a holistic view of the analysis. Measure and monitor results of applied recommendations and present adjustments.
* Develop scenarios involving tuning, calibration, segmentation and optimization.
* Provide routine and ad hoc reporting tied to AML/BSA compliance and risk.
* Develop insightful and compelling summary reporting and dashboards for management and business line partners.
* Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.
You have
* 4+ years or relevant experience in the data analytics and/or data science field
* 3+ years experience using SQL/SAS for querying data and for data manipulation / transformation
* Experience in Business Intelligence/Data Exploration and Visualization tools
* Experience in SAS Anti Money Laundering (AML) Solutions, AML Alert Generation Process, Scenario Management, advantage
* Programming experience in SAS/Base, SAS/Enterprise Guide or Python
* Strong analytic skills and problem solving with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
* Knowledge and understanding of machine learning approaches, ideally with experience of applying them in a financial context
* Quick thinker, fast learner and problem solver with ability to get things done, from start to end
* Good team player, self-motivated and proactive at work.
* Effective interpersonal, verbal, and written communication skills
* Excellent computer skills, including proven experience with Microsoft Office suite Native level in both Hebrew and English
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 ongoing learning and development opportunities; monthly wellness reimbursement; volunteering opportunities; charitable donation matching; Keren Hishtalmut on full salary; private health and dental insurance; advanced study fund and various company events. We place a strong emphasis on employee satisfaction and growth.
Requirements:
None
This position is open to all candidates.
 
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