Mathematics , Statistics Teacher

Job Description

Role Overview: We are looking for an exceptional instructor to build the foundational quantitative capabilities of our students. This role demands a deep and nuanced understanding of advanced mathematics, probability, statistics, and stochastic processes, and the ability to convey these complex concepts with clarity and precision. You will be instrumental in laying the analytical bedrock for all quantitative finance careers. Key Responsibilities: Deliver live, engaging online classes on advanced mathematical concepts, probability theory, statistical inference, and time series analysis. Explain complex topics such as linear algebra, multivariable calculus, optimization, numerical methods, Bayesian statistics, ARIMA/GARCH models, and stochastic calculus (e.g., Ito's Lemma, SDEs) with exemplary clarity. Guide students through rigorous problem-solving, derivations, and statistical analyses, ensuring a deep conceptual and practical understanding. Foster a highly disciplined and interactive learning environment, providing constructive feedback and expertly answering student queries. Core Curriculum Expertise Required: Core Mathematics: Linear algebra, multivariable calculus, real analysis, optimization theory, numerical methods, optimization algorithms. Probability & Statistical Inference: Probability theory, statistical inference, hypothesis testing, Bayesian statistics. Time Series Analysis: ARIMA models, GARCH models, cointegration, Vector Autoregression (VAR). Advanced Statistical Techniques: Regression analysis, principal component analysis, Monte Carlo methods, extreme value theory, copulas, survival analysis. Stochastic Calculus: Ito's lemma, Brownian motion, stochastic differential equations, partial differential equations, measure theory, martingale theory. Data Experimentation & Signal Processing: Causal inference, A/B testing, experimental design, signal detection, regime change detection, correlation analysis. Qualifications: Educational Background: Bachelor's, Master's, or PhD in Mathematics, Statistics, Quantitative Finance, Econometrics, Physics, or a closely related highly quantitative field. Experience: Proven experience in applying advanced mathematics, probability, and statistics in academic research, quantitative finance, or a related analytical domain. We value both experienced educators and talented freshers with exceptional academic records and demonstrable project experience. Domain Expertise: Possess an extremely strong and expert-level understanding of the theoretical and applied aspects of advanced mathematics, statistics, and stochastic processes relevant to quantitative finance. Exceptional Communication Skills: Superior ability to articulate the most complex mathematical and statistical concepts clearly, concisely, and engagingly in a live online setting. High Discipline & Work Ethic: Demonstrated ability to maintain a rigorous teaching schedule, prepare thoroughly, and foster a disciplined learning environment. Technical Proficiency: Highly tech-savvy with experience in online teaching tools, virtual whiteboards, and mathematical/statistical software (e.g., MATLAB, R, Python with scientific computing libraries). Mandatory Requirement (Crucial for Application): A strong background in Finance or Trading , especially with Algorithmic Trading or broader Quant experience , is a mandatory requirement for all applicants. This ensures practical relevance and industry context. Application Requirement: To assess your teaching prowess and technical communication skills, all applicants must submit a sample teaching video of at least 30 minutes on any topic within Quantitative Foundations (Mathematics, Statistics & Stochastic Processes) that you are highly proficient in (e.g., explaining Ito's Lemma, demonstrating Bayesian inference, or breaking down GARCH models). This video should clearly demonstrate your ability to explain complex concepts, engage an audience, and showcase your depth of expertise, hard work, and disciplined approach to teaching.