Team
G-Research
We are a leading quantitative research and technology firm. We combine world-class people with the power of machine learning, AI and advanced analytics to build smart strategies that succeed over time.
Learning Plans
Back Office Software Engineering
A comprehensive 8-12 week modular program designed to prepare backend engineers for the Oracle OCP Java SE 17 Developer (1Z0-829) and Microsoft Azure Developer Associate (AZ-204) certifications while building practical competence in post-trade and back-office systems. The plan integrates certification exam objectives with hands-on experience in trade processing, reconciliation, corporate actions, real-time position calculation, and reporting systems. Includes parallel certification tracks, weekly study cadence, labs, practice exams, team rituals (study groups, code reviews, mock exams), checkpoints, remediation paths, and a capstone project simulating a real-world back-office platform.
Machine Learning Researcher
A comprehensive 12-week learning plan designed to prepare for both AWS Certified Machine Learning – Specialty (MLS-C01) and Google Cloud Professional Machine Learning Engineer certifications. This plan follows an overlap-first approach, covering shared ML concepts before addressing platform-specific differences. It includes diagnostic assessment, optional refresher tracks, hands-on labs using free-tier resources, research-oriented practices, and a 2-week exam simulation phase. Structured for part-time study alongside work with emphasis on applied practice, MLOps, and exam readiness.
Data Vendor Analyst
A comprehensive 12-week cohort-based learning plan designed to prepare teams for the ISM Certified Professional in Supply Management (CPSM) certification exam while building practical skills for Data Vendor Analyst and Vendor Management Analyst roles. This plan integrates CPSM exam content (165 multiple-choice questions, 180 minutes, 70% passing score) with hands-on practice in vendor scorecards, SLAs/KPIs, contract management, sourcing, negotiations, supplier relationship management, risk/compliance, Excel, SQL, data quality, governance, and reporting. Includes diagnostic assessments, progressive content modules, practice quizzes, scenario-based assignments, and a final review week with mock exam. Structured for weekly cohort delivery with facilitator guidance and differentiated pathways for beginner and intermediate learners.
Quantitative Researcher
Template plan to prepare a team for a Quantitative Researcher – Fundamental Equity Research role, aligned to CFA Program Level I exam readiness while building practical quant equity research capabilities (factor research, backtesting, portfolio construction, risk, and research communication). Rolling cadence (no fixed exam date) with diagnostics, projects, question-bank routines, and mock exams.
Machine Learning Engineer
Template plan to prepare a team for ML Engineer responsibilities and the Google Professional Machine Learning Engineer certification. Includes a core 6–8 week sprint and an extended 12–16 week track, with hands-on labs/projects, practice exam cadence, and an optional multi-cloud mapping module (AWS/Azure). Fill in placeholders for team size, weekly time budget, and cloud access.
Production Software Engineer
Team template plan to get engineers production-ready for a low-latency platform role (Linux + Kubernetes + AWS + C# & C++ + SRE). Includes baseline skill checks, three parallel tracks (Cloud/AWS, Kubernetes/Ops, Performance Engineering), hands-on labs, assessments, and a capstone that ships a production-ready service. Optional milestones align to widely-recognized exams (AWS SAA-C03, CKA) for teams that want external validation; the plan stands alone without requiring any certification.