Own quality for an AI‑enabled decision‑support system, building test plans, automated coverage, and evidence that delivered features meet specifications.
Compensation
Salary Range: $135,000-$170,000.
Responsibilities
Own the system test plan covering functional, integration, performance, and load testing
Translate acceptance criteria into executable tests
Review acceptance criteria with product before development
Hold engineering, platform, and partner teams accountable to acceptance criteria
As a Software Engineer on the Ads Experience (AdEx) team, you will build and evolve core features, services, and workflows that power Moloco’s web-based campaign management portal, Moloco Ads Manager (our Ads Manager UI).
Responsibilities
Design, implement, and operate backend services and APIs that support key advertiser and operator workflows in Moloco Ads Manager, including campaign setup, configuration, health monitoring, reporting, alerting, and diagnostics.
Own features or projects end-to-end, from problem framing and requirements review through technical design, implementation, testing, launch, and post-launch iteration.
Partner closely with Product, UX, Data, and ML to turn complex user problems into simple, reliable, and scalable product experiences in the Ads Manager UI and via APIs.
Contribute to analytics and reporting capabilities by integrating with data pipelines and helping deliver clear, actionable views of campaign performance and operational health.
Improve the reliability, performance, and observability of the systems you build through strong engineering practices, including testing, metrics, logging, monitoring, and incident response.
Requirements
BS/MS in Computer Science or a related technical field
An experienced trader to oversee the quantitative portfolio management team's trading process, contribute to core business, and develop new expertise in systematic trading.
Responsibilities
Oversight of international equities and macro systematic trading during European hours and provide backup coverage during US morning.
Execute trades in rates instruments across global OTC markets.
Build relationships and negotiate trades with liquidity partners to achieve best execution.
Monitor and support portfolio construction, execution, connectivity, and related processes.
Help conduct post-trading execution and transaction cost analysis and suggest ways to improve.
Requirements
Undergraduate or higher degree in computer science
Quantitative Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact.
Responsibilities
Design and develop software for strategy research and trading.
Build and improve tools for data acquisition, processing, and visualization.
Work on the execution/order management system, live dashboards, and P&L reconciliation tools.
Manage the team’s CI/CD pipeline, job running infrastructure, and other tech components.
Ensure robustness and efficiency of the team’s systems. Be ready to troubleshoot and correct any issues.
Requirements
Undergraduate or graduate degree in Computer Science
Quantitative researcher for the Cubist Machine Learning Research group, developing trading models using deep learning and NLP.
Responsibilities
Develop sophisticated trading models using machine learning
Manage all aspects of the research process including data ingestion, analysis, methodology selection, implementation, testing, prototyping, and performance evaluation
Requirements
PhD or PhD candidate in machine learning, computer science, statistics, or a related field
Nice to have: experience in a data driven research environment
Nice to have: experience with financial models
Nice to have: interest in applying machine learning to finance
We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.
Responsibilities
Improve data ETL pipeline and build tools to analyze new data efficiently.
Build technologies to bolster research & trading efficiency.
Expand to new markets and asset classes.
Manage day-to-day operations in a fast-paced environment.
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