דרושים » תוכנה » Trading Analyst

We are looking for a Trading data analyst (eComms) to join our proactive surveillance team.
The ideal candidate will have a solid understanding of financial regulations and regulators (MiFid, Dodd Frank, REMIT, FINRA, SEC) and markets, with a background in banking and preferably trading, compliance or risk management. This role involves building and refining models to detect market abuse and other unethical behaviors by analysis of the text in eComms. The candidate should be comfortable with financial jargon and understand the roll of traders and bankers and how they can influence and abuse the markets. While programming skills are not required, the candidate should be proficient with tools such as PyCharm, Git, and Excel.
Lets get down to business:
What Youll Do:
Develop and refine lexicon-based models to detect market abuse and unethical behaviors in financial institutions.
Analyze electronic communications (eComms) to identify suspicious content and generate alerts.
Understand and work with our complex models and fine details to enhance model accuracy.
Build presentations and graphs to effectively communicate results to clients.
Engage with clients to understand their needs and provide insights based on analysis.
Perform extensive data analysis, tagging relevant and irrelevant data, and updating lexicons.
Stay updated on financial regulations and market trends to enhance model accuracy.
Utilize tools like PyCharm, Git, and Excel for model development and data analysis.

We are seeking a detail-oriented and motivated System Analyst to join our team. The ideal candidate will support the maintenance, accuracy, and integrity of master data within our SAP system. This role is critical for ensuring that business operations run smoothly by providing accurate and timely master data management. Key Responsibilities: Master Data Management:
* Create, update, and maintain master data in SAP, ensuring accuracy and compliance with company standards.
* Validate data entries to ensure consistency and accuracy across all modules.
* Perform routine audits to identify and resolve data discrepancies. Data Analysis and Reporting:
* Analyze master data to support business decision-making and operational needs.
* Working on data quality and changes with the business owners& stakeholders. Support and Collaboration:
* Collaborate with cross-functional teams, including supply chain, finance, procurement, and IT, to meet master data requirements.
* Provide technical support to end-users for data-related issues in SAP.
* Assist in resolving system errors related to master data. Process Improvement:
* Support the implementation of new data governance practices and tools.
* Identify opportunities to streamline master data processes and improve system efficiency. Documentation and Training:
* Maintain clear and comprehensive documentation for data management processes and guidelines.
* Assist in training team members and stakeholders on master data procedures.

Hybrid position:
Onsite

This is an exciting opportunity to blend data engineering and analysis in a pivotal full-stack role.

Youll be instrumental in ensuring our data's accuracy and availability, while also generating key insights to drive strategic decisions across Marketing, Product, R&D, Sales, and Customer Success. This role offers a unique chance to leverage both your technical skills and business understanding to extract actionable insights from complex data. Reporting directly to the CTO and collaborating with key stakeholders, youll have a significant impact on our data-driven culture.

Key Responsibilities

Own, maintain, and enhance data pipelines to guarantee data availability and quality.
Analyze and interpret complex data related to marketing, product performance, and user behavior.
Collaborate effectively with various teams to gather requirements, build data understanding, and communicate findings clearly.
Identify and resolve data discrepancies, defining the "source of truth" for crucial metrics.
Develop dashboards to monitor KPIs, assess performance against targets, and pinpoint areas for improvement.
Maintain user funnel dashboards, setting up alerts for anomalies and opportunities.
Implement proactive data monitoring and anomaly detection systems to ensure data accuracy and consistency.
Lead integrations with third-party platforms, optimizing data inputs for marketing tools and advertising platforms, potentially developing algorithms and triggers for targeted actions (e.g., engaging high-value, at-risk, or potential users).
Contribute to the development of our customer-facing Arena Analytics pipeline and data warehouse using tools like Fivetran, Snowflake, and ThoughtSpot.

were proud to be at the forefront of the AI revolution. As a Data Analyst on the DataOps team, youll play a key role in ensuring the integrity and reliability of our data systems. Your primary focus will be on data quality assurance auditing datasets, identifying anomalies, validating transformations, and ensuring consistency across our machine learning pipelines. This role is ideal for someone whos passionate about data, detail-oriented, and eager to support high-impact AI solutions. We're looking for a data analyst with strong analytical skills and a commitment to maintaining data quality at scale.
Conduct data audits and validation checks to ensure accuracy, completeness, and consistency across diverse data sources.

Responsibilities
Perform exploratory data analysis to identify anomalies, edge cases, and inconsistencies that could affect model performance.
Automate and monitor data quality by building tools, dashboards, or queries, and by investigating root causes of data issues, proposing improvements, and tracking their resolution.
Evaluate external data sources for usability, schema compliance, and alignment with business goals.
Collaborate across teamsincluding Product Managers, Data Scientists, Engineers, and Labeling Specialiststo understand user needs and ensure the delivery of robust, scalable ML solutions with high-quality data throughout the pipeline.

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease. Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Data Team Riverside’s Data & Analytics team believes there’s a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If you’re passionate about finding radical new ways to leverage data, you’ll fit right in.
On your day to day We’re looking for a Product Analyst that’s proactive, curious, entrepreneurial, and has a strong opinion. The product Growth Analyst role is embedded within product teams and drives impact end-to-end through the product development life cycle. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of Riverside.
What you will be doing You will work closely with Product teams and your responsibilities will include:
* Analyze user behavior and product usage to identify customers’ needs to inform product development and strategy.
* Collaborate with the Product team, to define KPIs and measure the impact of product development on performance.
* Measure features adoption and retention and identifies opportunities for growth..
* Design, execute, and analyze A/B tests to measure the impact of product changes and refine strategies.
* Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
* Play a key role in understanding our users and their needs.
* Lead the development of innovative data products.
* Stay updated on industry trends and best practices in data analysis and product optimization.
What Will Make You Stand Out?
* At least 2 years of experience as an Analyst in a tech company.
* Minimum of 1 year of experience as a Product Analyst or Growth Analyst, with a strong background in product-led growth strategies.
* Strong communication and presentation skills.
* Familiarity with A/B testing methods and the ability to make data-driven decisions.
* Proficiency in SQL is a must. Knowledge of Python for data analysis is a bonus.
* Creative thinking for product improvement.
* Understanding of business and product processes to create effective data models.
* Detail-oriented with a proven track record in quantitative fields.
* Capable of collaborating with diverse teams in a fast-paced environment.
* High proficiency in English, both written and spoken
Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, Riverside’s your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if that’s not enough, we guarantee that your ideas will genuinely make an impact.

abra R&D is looking for a Financial System Anayst! We are looking for a skilled Financial Systems Analyst to define, analyze, and lead Java development tasks, with a strong focus on the design and planning of online interfaces. The role requires knowledge of Object-Oriented programming and a deep understanding of complex business processes in the capital markets The role supports a critical operational system serving trading rooms. As part of a team of systems analysts, you will work closely with developers, business analysts, and end users.

Were looking for a Product Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. The product Growth Analyst role is embedded within product teams and drives impact end-to-end through the product development life cycle.

You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of Riverside.



What you will be doing

You will work closely with Product teams and your responsibilities will include:

Analyze user behavior and product usage to identify customers needs to inform product development and strategy.
Collaborate with the Product team, to define KPIs and measure the impact of product development on performance.
Measure features adoption and retention and identifies opportunities for growth..
Design, execute, and analyze A/B tests to measure the impact of product changes and refine strategies.
Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
Play a key role in understanding our users and their needs.
Lead the development of innovative data products.
Stay updated on industry trends and best practices in data analysis and product optimization.

We are seeking an accomplished Senior Product Analyst to be a strategic analytics partner to product teams throughout the entire product lifecycle. In this role, you will spearhead data-driven discovery, experimentation, optimization, and go-to-market enablement for new products and features. As the analytics expert, you will provide strategic guidance across departments, leveraging your extensive business analysis background. The Senior Product Analyst will be instrumental in decoding product performance and user behavior, identifying opportunities, and driving continuous improvement. If you have a strong product analytics foundation along with excellent storytelling abilities to influence product decisions, this could be an ideal next career step.


What youll be spending your time on:

Act as the embedded analytics partner for product managers from ideation through discovery, research, planning, execution, and launch.
Conduct deep-dive analyses to uncover customer needs, validate hypotheses, estimate business impact, and monitor KPIs during all product lifecycle stages.
Design and execute experiments and A/B tests to validate new features.
Analyze results, synthesize insights, and deliver product optimization recommendations.
Build robust, self-serve dashboards, reports, and alerting to track core metrics and enable self-serve data-driven product decisions.
Proactively analyze customer data, usage patterns, and market trends to surface opportunities and potential friction areas.
Partner with data engineering to influence the data platform roadmap based on evolving data needs.
Embrace process improvements and automation by championing new analytics capabilities.
Mentor other Product Analysts.

Required Data Analytics Engineer
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. We are seeking a skilled Data Analytics Engineer to join our dynamic Analytics team. In this role, you will play a critical part in building, maintaining, and scaling our data infrastructure to support business intelligence, product analytics, and business operations. You will collaborate closely with analysts, data scientists, and cross-functional stakeholders to ensure clean, reliable, and efficient data pipelines. This is an opportunity to contribute to a data-driven culture and help drive actionable insights across the company.
What will you be responsible for?
Designing, building, and optimizing robust data pipelines to ingest, process, and store data from various sources
Maintaining and optimizing our data warehouse (e.g., Snowflake, BigQuery, Redshift) and building data models to ensure scalability, reliability, and performance
Developing and maintaining ETL/ELT workflows to enable data accessibility for reporting and analysis
Collaborating with analytics teams (BI, product, and business) and cross-functional teams (GTM, product) to understand data requirements and providing the necessary infrastructure and data models to support their objectives
Monitoring and troubleshooting data quality, pipeline failures, and performance issues, and implementing fixes and improvements as needed
Contributing to automating manual processes and improving data reliability and efficiency
Staying up-to-date with emerging trends, tools, and technologies in data engineering to drive innovation and continuous improvement.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease. Riversides technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the data Team Riversides data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day Were looking for a data Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of Riverside.
What you will be doing You will have the chance to work with multiple teams (Marketing, Product, Sales, etc.) doing the following:
* Analyze customer and user behavior and inform the teams in order to influence strategy and trajectory.
* Collaborate with the team, define KPIs and measure the impact of their teams on Riverside performance.
* Design, execute, and analyze A/B tests to measure the impact of changes and refine strategies.
* Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
* Play a key role in understanding our users and their needs.
* Lead the development of innovative data products.
* Stay updated on industry trends and best practices in data analysis and user journey optimization.