We are looking for a Data Scientist to join a fast-paced investment environment in New York, New York, where data-driven insight plays a central role in research and decision-making. This position will focus on turning complex datasets into practical analysis, scalable tools, and clear intelligence that support investment ideas. The ideal candidate brings strong technical depth, sound statistical judgment, and the ability to shape loosely defined questions into structured, repeatable research.<br><br>Responsibilities:<br>• Work closely with investment professionals to create quantitative studies, analytical frameworks, and practical tools that strengthen fundamental research workflows.<br>• Identify promising alternative data sources, assess their relevance and quality, and support their integration into the research process.<br>• Design and execute backtests, predictive models, and exploratory investigations to evaluate and refine investment hypotheses.<br>• Produce and maintain analyst-facing dashboards and reporting views within internal analytics environments.<br>• Convert one-off research requests into repeatable, clearly documented analyses that can be reused and scaled over time.<br>• Partner with engineering teams to define data needs, support ingestion processes, and improve dataset availability for research use.
We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a permanent role is ideal for someone who combines strong analytical thinking with practical experience identifying suspicious patterns, supporting investigations, and improving anti-fraud decision-making. The role offers the chance to work closely with business partners to interpret data, surface risk trends, and contribute to a more proactive fraud strategy.<br><br>Responsibilities:<br>• Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk.<br>• Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions.<br>• Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts.<br>• Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure.<br>• Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources.<br>• Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
Job Responsibilities Design, build, and maintain scalable ERP data pipelines for platforms such as Workday and enterprise systems Own end‑to‑end lifecycle of ERP data pipelines (ingestion → transformation → delivery) Support data conversion and migration initiatives (e.g., M&A, system integrations) Ensure pipeline reliability, recoverability, and stable production operations Troubleshoot pipeline failures and resolve root causes of data defects and operational issues Partner with business analysts and stakeholders to translate requirements into data solutions Implement and enforce SDLC best practices (version control, code reviews, CI/CD, release management) Develop and maintain data quality controls (freshness, completeness, anomaly detection, schema management) Detect and manage schema drift and downstream data issues proactively Build and maintain monitoring, alerting, and observability for data pipelines Optimize performance, scalability, and cost of data workloads Track operational KPIs (e.g., pipeline success rates, SLAs, incident trends, recovery times) Create runbooks, documentation, and audit‑ready operational processes Collaborate with data governance, security, and compliance teams on controls and data access Support analytics, reporting, and integration teams with reliable, well‑governed datasets Communicate effectively with technical and non‑technical stakeholders and escalate risks early
We are looking for a Software Engineer / Data Engineer to build and enhance internal platforms that support research, analytics, and investment workflows in New York, New York. This role combines product-minded software development with data engineering, giving you the opportunity to create scalable applications, shape technical architecture, and improve how teams access and use information. You will work closely with analysts and data specialists to turn complex needs into reliable tools that streamline decision-making and expand internal AI capabilities.<br><br>Responsibilities:<br>• Create and support internal applications, including dashboards, research platforms, and workflow solutions that improve day-to-day productivity across the firm.<br>• Develop and maintain AI-enabled internal systems such as application services, knowledge retrieval capabilities, agent-based tools, and monitoring frameworks for performance and quality.<br>• Collaborate with investment professionals and data science teams to convert research processes into stable, user-focused software products.<br>• Define technical direction for new systems, selecting appropriate architecture and establishing engineering standards that can scale with future development.<br>• Build backend services and data pipelines using Python, PySpark, and Databricks to support analytics, automation, and application functionality.<br>• Contribute to frontend experiences for internal users with modern web technologies such as Next.js, React, and interactive visualization tools.<br>• Design solutions that connect APIs, user interfaces, data storage, and cloud infrastructure into cohesive, maintainable platforms.
<p>We are looking for a Contract Business Analyst to support supply chain and operations initiatives in New York, NY. This role partners closely with procurement, logistics, warehousing, and technology teams to turn operational challenges into practical reporting and data solutions. The ideal candidate combines strong business analysis capabilities with hands-on experience in analytics tools, process evaluation, and cross-functional collaboration. This position is well suited for someone who can connect business priorities with actionable insights in a complex outsourced operating environment.</p><p><br></p><p>Responsibilities:</p><p>• Partner with supply chain, procurement, logistics, and warehouse stakeholders to gather needs, define priorities, and translate operational goals into clear analytical requirements.</p><p>• Build and refine dashboards, reports, and performance views that improve visibility into inventory movement, partner performance, and service outcomes across the network.</p><p>• Evaluate current workflows, identify process gaps, and recommend improvements that strengthen data accuracy, reporting consistency, and decision-making.</p><p>• Work with technology and data teams in an Agile environment to document user stories, clarify acceptance criteria, and support solution delivery.</p><p>• Perform document review and business process analysis to ensure requirements, metrics, and reporting logic are aligned with operational objectives.</p><p>• Monitor data quality issues, investigate discrepancies, and help establish controls that improve trust in supply chain and operations reporting.</p><p>• Facilitate communication between business users and technical teams to ensure solutions are practical, scalable, and aligned with business expectations.</p><p>• Support ongoing analytics initiatives by applying structured problem-solving and gap analysis to uncover trends, risks, and improvement opportunities.</p>
We are looking for a Business Analyst to support complex initiatives within the financial services sector in New York, New York. This Long-term Contract position focuses on defining business needs, shaping clear functional documentation, and partnering with technical and business teams to deliver effective solutions. The role requires someone who can connect stakeholder expectations with system capabilities while helping projects stay organized, well-documented, and aligned with delivery goals.<br><br>Responsibilities:<br>• Gather and define business and system needs by working closely with stakeholders to clarify objectives, constraints, and expected outcomes.<br>• Produce well-structured requirement documents, functional specifications, and supporting analysis artifacts that guide project execution.<br>• Convert operational needs and technical concerns into practical, clearly documented solutions for project teams and business partners.<br>• Maintain oversight of requirement changes, facilitate review sessions, and ensure approvals are captured throughout the project lifecycle.<br>• Develop and update process models, domain analysis materials, wireframes, business rules, and related documentation to support solution design.<br>• Contribute to multiple project efforts by tracking scope, updating key documents, monitoring priorities, and supporting timely completion of milestones.<br>• Partner with designers, architects, and testing teams to confirm that proposed solutions and test coverage remain consistent with approved requirements.<br>• Coordinate and execute user acceptance testing activities, including validation of results and follow-up on identified issues.<br>• Support detailed systems design work by defining configuration needs, functional behavior, and data migration rules where required.<br>• Build effective working relationships with internal stakeholders, customers, and external partners while escalating risks or blockers through appropriate channels.