UNKNOWN

FEED

OTHER

At Tutor Me Education, we are revolutionizing the way students learn, and we're seeking passionate teachers and tutors with previous tutoring experience to provide 1:1 in-home tutoring in Berkeley, CA! You will be responsible for supporting the student with daily academic activities, offering encouragement, and delivering tailored instruction based on their individual learning needs.

At Tutor Me Education, we are revolutionizing the way students learn, and we're seeking passionate teachers and tutors with previous tutoring experience to provide 1:1 in-home tutoring in Berkeley, CA! If you're committed to making a difference in the lives of students with special needs and helping them achieve academic success, we want to hear from you!As a Tutor at Tutor Me Education, you’ll provide personalized, one-on-one tutoring to a student in their home. You will be responsible for supporting the student with daily academic activities, offering encouragement, and delivering tailored instruction based on their individual learning needs.Details:<ul><li>In-Person Tutoring in Berkeley, CA</li><li>Comfortable working with a college student</li><li>Comfortable with Introductory Statistics</li><li>Pay range is $40 per hour (negotiable)</li><li>Multiple tutoring sessions per week (flexible afternoons, evenings, or weekends)</li></ul>Your Responsibilities:<ul><li>Conduct engaging 1:1 tutoring sessions focused on statistics concepts and problem-solving. </li><li> Adapt materials, examples, and teaching methods to match the student’s learning style and academic goals. </li><li> Track and document the student’s progress, adjusting instruction as needed to reinforce understanding. </li><li> Maintain open communication with parents or guardians, providing updates on progress and addressing any questions. </li><li> Create a supportive and positive learning environment that encourages confidence and academic growth in chemistry.</li></ul>Why Tutor Me Education? At Tutor Me Education, we are dedicated to providing a nurturing, supportive environment where students can thrive. We pride ourselves on offering meaningful tutoring opportunities that make a lasting impact in the communities we serve. Whether you're looking for consistent hours or just want to make a difference, we have a place for you.Who We’re Looking For:<ul><li>Must be able to commute to Berkeley, CA</li><li>Must have a Bachelor's degree or higher.</li><li>Ability to make learning fun, interactive, and student-focused</li><li>Ability to pass an in-person background check (if required)</li></ul>Benefits:<ul><li>Performance-Based Pay Incentives</li><li>Voluntary retirement program</li><li>Referral program</li><li>Flexible schedule</li></ul>Equal Opportunity Employer: Tutor Me Education is proud to be an Equal Opportunity Employer, committed to diversity and inclusion. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We encourage candidates from all backgrounds to apply.Diversity, Equity, and Inclusion: We are committed to fostering an inclusive workplace where every team member feels valued, respected, and empowered. Diversity drives innovation, and we believe it is essential for success.

Tutor Me Education

College Statistics Tutor

Background Investigation

Chemistry

Communication Skills

Diversity

Documentation

Problem Solving Skills

Special Needs

Statistics

Training/Teaching

Workable

Hands-on experience in sports trading, sports betting, exchange-style environments, market-making, quantitative trading, or other closely related domains where fast price formation and disciplined execution matter. You will help manage and improve real-time pricing across a range of sports and market types, with a particular focus on market aware price discovery, risk management and the identification of actionable trading signals from market activity.

<h5>Company Overview</h5>Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports expertise, not intuition. We are looking for team-oriented individuals with an authentic passion for accurate, predictive, real-time data who can execute in a fast-paced, creative, and continually evolving environment without sacrificing technical excellence.Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building high-performance pricing and trading systems.<h5>Job Description</h5>Swish is looking for a highly analytical Sports Trading Analyst to help strengthen and scale our sports pricing and trading operation.In this role, you will work at the intersection of sports intelligence, quantitative modelling, pricing strategy, and live market behaviour. You will help manage and improve real-time pricing across a range of sports and market types, with a particular focus on market aware price discovery, risk management and the identification of actionable trading signals from market activity.This role is suited to someone with strong quantitative reasoning, excellent decision-making under pressure, and a deep interest in how markets are formed, odds move, and how to engineer accurate pricing in the competitive sports betting environment.You will work in a geographically dispersed team alongside experienced traders, quants, data scientists, and engineers, with colleagues based across Europe and the US.<h5>Duties</h5><ul><li>Monitor live sports markets and market activity in real time across a range of sports and market types</li><li>Support the calibration and refinement of prices using market signals, statistical models, competitor benchmarking, and event-driven information</li><li>Help improve pricing quality through the analysis of market behaviour, price sensitivity, liquidity patterns, and reaction speed to new information</li><li>Contribute to the development, testing, and refinement of quantitative models by applying your understanding of live market dynamics and pricing behaviour</li><li>Own and manage real-time trading risk, including exposure monitoring, liability controls, and disciplined decision-making across concurrent events</li><li>Collaborate with engineering on trading and pricing infrastructure, including API integrations, automated monitoring, alerting, anomaly detection, and execution tooling</li><li>Work closely with Sports Trading teams to interpret breaking news, lineups, injuries, team news, and other event-specific developments to ensure timely and accurate price updates</li><li>Identify model discrepancies, edge cases, and structural inefficiencies in pricing workflows, escalating and documenting findings for Data Science and Data Engineering teams</li><li>Help evaluate market opportunities, prioritise resources across sports and competitions, and improve operational processes as the trading function scales</li><li>Detect sharp or informative market activity and ensure useful signals are fed back into Swish’s proprietary models and pricing systems</li><li>Communicate effectively with internal Sports Trading teams responsible for maintaining and improving our core sportsbook pricing models</li></ul><h5>Requirements</h5><ul><li>Bachelor’s degree or higher in a quantitative or analytical discipline (Mathematics, Statistics, Computer Science, Economics, Engineering, Quantitative Finance, or similar), or equivalent practical experience</li><li>Strong grounding in probability, statistics, and expected value, with the ability to reason clearly about fair price, uncertainty, and risk</li><li>Hands-on experience in sports trading, sports betting, exchange-style environments, market-making, quantitative trading, or other closely related domains where fast price formation and disciplined execution matter</li><li>Strong understanding of sports betting fundamentals, including odds formats (decimal, fractional, American), implied probability conversion, expected value, and closing line value</li><li>Demonstrated ability to make high-quality decisions under time pressure with incomplete information during live events</li><li>Comfortable working autonomously across global event schedules, including weekends and major tournament periods</li><li>Fluent in English, written and spoken, with clear communication skills in a distributed and asynchronous team environment</li></ul><h5>Preferred (but not essential)</h5><ul><li>Track record of building and backtesting quantitative models using real historical data; GitHub, notebooks, or demonstrable analytical work is highly valued</li><li>Deep domain knowledge across high-turnover sporting verticals such as NBA, NFL, and Soccer</li><li>Understanding of relational database systems (MySQL or equivalent) for analysis of prices, outcomes, and trading decisions</li><li>Familiarity with market microstructure concepts such as adverse selection, inventory risk, liquidity dynamics, queue positioning, or execution quality</li><li>Experience using Python for quantitative research, exploratory data analysis, prototyping, or model improvement</li><li>Experience using modern AI tools to accelerate analysis, research, and modelling workflows</li></ul><h6>Why Join</h6>This is an opportunity to play a meaningful role in a growing and well-resourced sports trading operation. The successful candidate will help shape process, tooling, and decision-making within a team focused on high-quality pricing, efficient execution, and long-term product excellence across multiple sports verticals.<h6>Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.</h6>

Swish Analytics

Trading Analyst

Analysis Skills

Application Programming Interface (API)

Artificial Intelligence (AI)

Benchmarking

Calibration

Computer Science

Data Analysis

Data Science

Database Technology

Economics

English Language

Establish Priorities

Financial Mathematics

GitHub

Liquidity

Machine Tool

Market Analysis

Market Tracking

Mathematics

MySQL

News Reporting

Operational Improvement

Operations Processes

Pricing

Process Improvement

Product Pricing

Prototyping

Python Programming/Scripting Language

Quality Management

Quantitative Analysis

Quantitative Research

Relational Databases (RDBMS)

Risk

Risk Management

Sales Qualification

Soccer

Sports

Sportsbook

Startup

Statistical Modeling

Team Player

Test Plan/Schedule

Time Management

Trading Systems

Teamtailor

Statistics jobs in San Anselmo, CA - find them here! Apply today to the top opportunities near you.

Top Statistics Jobs in San Anselmo, CA | Monster

Statistics Jobs in San Anselmo, CA

Jobs

Resume Resources

Get noticed by top employers!

Statistics Jobs in San Anselmo, CA

Jobs

College Statistics TutorTutor Me Education

Trading AnalystSwish Analytics

Resume Resources