Junior Quantitative Analyst - Remote

Junior Quantitative Analyst - Remote About UsWe are a data-driven financial services organization dedicated to delivering innovative quantitative solutions across investment, risk management, and trading strategies. Our team leverages advanced statistical modeling, programming, and market research to drive performance and manage risk effectively. Position OverviewWe are seeking a highly motivated Junior Quantitative Analyst to join our growing analytics team. This role is ideal for candidates with strong quantitative, mathematical, and programming skills who are eager to apply their knowledge in real-world financial markets. The Junior Quantitative Analyst will support model development, data analysis, research initiatives, and performance evaluation of trading and risk strategies.Both full-time and part-time opportunities are available. This position offers a hybrid work structure, combining remote flexibility with collaborative in-office engagement. Key ResponsibilitiesAssist in developing, testing, and validating quantitative models for trading and risk managementAnalyze large financial datasets to identify trends, anomalies, and opportunitiesSupport backtesting of trading strategies and performance evaluationConduct statistical analysis using Python, R, or similar toolsCollaborate with senior analysts, traders, and risk teamsPrepare reports and visualizations for internal stakeholdersMaintain documentation for models and analytical processesMonitor model performance and recommend improvements Required QualificationsBachelors degree in Mathematics, Statistics, Finance, Economics, Computer Science, Engineering, or a related quantitative fieldStrong understanding of probability, statistics, linear algebra, and financial mathematicsProficiency in Python, R, MATLAB, or similar programming languagesExperience with SQL and data analysis toolsStrong analytical and problem-solving skillsExcellent written and verbal communication skillsAbility to work independently and collaboratively in a hybrid environment Preferred QualificationsKnowledge of financial markets, derivatives, and portfolio theoryFamiliarity with machine learning techniquesExperience with data visualization tools (Tableau, Power BI, etc.) Compensation & BenefitsBase Salary: $125,000 $140,000 per year (commensurate with experience)Annual Bonus: Typically 1020% of base salary401(k) Retirement PlanHealth InsuranceDental & Vision InsuranceLife InsurancePaid Time Off (PTO) and Company HolidaysProfessional development and training opportunities EligibilityApplicants must be legally authorized to work in the United StatesThis position is open to USA applicants only Work ScheduleFull-Time: Standard 40-hour work weekPart-Time: Flexible scheduling options availableHybrid schedule combining remote and in-office work