OTHER

FEED

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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><strong id="docs-internal-guid-0bae9667-7fff-ced7-647c-81928ed09e12">Company Overview</strong></h5><p>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.</p><p>Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building high-performance pricing and trading systems.</p><h5><strong id="docs-internal-guid-0bae9667-7fff-ced7-647c-81928ed09e12">Job Description</strong></h5><p>Swish is looking for a highly analytical Sports Trading Analyst to help strengthen and scale our sports pricing and trading operation.</p><p>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.</p><p>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.</p><p>You will work in a geographically dispersed team alongside experienced traders, quants, data scientists, and engineers, with colleagues based across Europe and the US.</p><h5><strong id="docs-internal-guid-0bae9667-7fff-ced7-647c-81928ed09e12">Duties</strong></h5><ul><li><p>Monitor live sports markets and market activity in real time across a range of sports and market types</p></li><li><p>Support the calibration and refinement of prices using market signals, statistical models, competitor benchmarking, and event-driven information</p></li><li><p>Help improve pricing quality through the analysis of market behaviour, price sensitivity, liquidity patterns, and reaction speed to new information</p></li><li><p>Contribute to the development, testing, and refinement of quantitative models by applying your understanding of live market dynamics and pricing behaviour</p></li><li><p>Own and manage real-time trading risk, including exposure monitoring, liability controls, and disciplined decision-making across concurrent events</p></li><li><p>Collaborate with engineering on trading and pricing infrastructure, including API integrations, automated monitoring, alerting, anomaly detection, and execution tooling</p></li><li><p>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</p></li><li><p>Identify model discrepancies, edge cases, and structural inefficiencies in pricing workflows, escalating and documenting findings for Data Science and Data Engineering teams</p></li><li><p>Help evaluate market opportunities, prioritise resources across sports and competitions, and improve operational processes as the trading function scales</p></li><li><p>Detect sharp or informative market activity and ensure useful signals are fed back into Swish’s proprietary models and pricing systems</p></li><li><p>Communicate effectively with internal Sports Trading teams responsible for maintaining and improving our core sportsbook pricing models</p></li></ul><h5><strong id="docs-internal-guid-0bae9667-7fff-ced7-647c-81928ed09e12">Requirements</strong></h5><ul><li><p>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</p></li><li><p>Strong grounding in probability, statistics, and expected value, with the ability to reason clearly about fair price, uncertainty, and risk</p></li><li><p>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</p></li><li><p>Strong understanding of sports betting fundamentals, including odds formats (decimal, fractional, American), implied probability conversion, expected value, and closing line value</p></li><li><p>Demonstrated ability to make high-quality decisions under time pressure with incomplete information during live events</p></li><li><p>Comfortable working autonomously across global event schedules, including weekends and major tournament periods</p></li><li><p>Fluent in English, written and spoken, with clear communication skills in a distributed and asynchronous team environment</p></li></ul><h5><strong id="docs-internal-guid-0bae9667-7fff-ced7-647c-81928ed09e12">Preferred (but not essential)</strong></h5><ul><li><p>Track record of building and backtesting quantitative models using real historical data; GitHub, notebooks, or demonstrable analytical work is highly valued</p></li><li><p>Deep domain knowledge across high-turnover sporting verticals such as NBA, NFL, and Soccer</p></li><li><p>Understanding of relational database systems (MySQL or equivalent) for analysis of prices, outcomes, and trading decisions</p></li><li><p>Familiarity with market microstructure concepts such as adverse selection, inventory risk, liquidity dynamics, queue positioning, or execution quality</p></li><li><p>Experience using Python for quantitative research, exploratory data analysis, prototyping, or model improvement</p></li><li><p>Experience using modern AI tools to accelerate analysis, research, and modelling workflows</p></li></ul><h6><strong id="docs-internal-guid-0bae9667-7fff-ced7-647c-81928ed09e12">Why Join</strong></h6><p>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.</p><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

Communication Skills

Computer Science

Data Analysis

Data Science

Database Technology

Documentation

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

Statistics

Team Player

Test Plan/Schedule

Time Management

Trading Systems

Teamtailor

Your expertise will help select and solve challenging problems in systematic and quantitative strategies — including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimization under realistic constraints. BASIC QUALIFICATIONS: Master's or PhD in a strongly quantitative field: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Computer Science (with finance focus), Physics, Operations Research, Econometrics, or closely related discipline or equivalent professional experience as a quantitative researcher / systematic trader.

HOUR

<div class="content-intro"><h3><strong>About xAI</strong></h3><p>xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.</p></div><h3>ABOUT THE ROLE:</h3><p>As a Quantitative Trader, you will play a key role in improving xAI's advanced AI systems by delivering high-quality annotations, evaluations, and expert input using specialized labeling tools. You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains. Your expertise will help select and solve challenging problems in systematic and quantitative strategies — including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimization under realistic constraints. This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.</p><p>As a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models. You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with complex financial data and systems. This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions. We are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI's goals in scientific discovery and real-world reasoning.</p><p>Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation. The role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces — all of which are essential job functions required to fulfill xAI's mission. All outputs are considered work-for-hire and owned by xAI.</p><h3>RESPONSIBILITIES:</h3><ul><li>Use proprietary annotation and evaluation software to provide precise labels, rankings, critiques, and detailed solutions on assigned projects</li><li>Deliver consistently high-quality, curated data that meets strict technical and scientific standards</li><li>Collaborate with engineers and researchers to support the creation and iteration of new training tasks and evaluation benchmarks</li><li>Provide feedback that helps improve the usability, efficiency, and precision of annotation and data-collection tools</li><li>Select and solve complex problems from quantitative trading domains where you have deep expertise — examples include:</li><li><ul><li>Factor model construction and signal combination</li><li>Market microstructure and order book dynamics</li><li>Statistical arbitrage and pairs/cointegration strategies</li><li>ML-driven alpha generation and feature engineering</li><li>Optimal execution algorithms and transaction cost modeling</li><li>Portfolio construction under constraints (risk, turnover, sector, etc.)</li><li>Risk modeling and stress-testing frameworks</li></ul></li><li>Deliver rigorous model critiques, alternative solutions, mathematical derivations, and quantitative reasoning when evaluating AI outputs</li><li>Interpret, analyze, and execute tasks efficiently based on detailed (and sometimes evolving) instructions</li></ul><h3>BASIC QUALIFICATIONS:</h3><ul><li>Master's or PhD in a strongly quantitative field:<br/>Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Computer Science (with finance focus), Physics, Operations Research, Econometrics, or closely related discipline or equivalent professional experience as a quantitative researcher / systematic trader</li><li>Excellent written and verbal communication in professional English (both technical and explanatory styles)</li><li>Deep familiarity with financial data sources and platforms (Bloomberg, Refinitiv, FactSet, Capital IQ, SEC EDGAR, CRSP/Compustat, TAQ, earnings transcripts & call databases, alternative data providers, etc.)</li><li>Exceptional analytical reasoning, attention to detail, and ability to make sound judgments with incomplete information</li><li>Genuine passion for quantitative methods, systematic trading, machine learning in finance, and frontier AI technology</li></ul><h3>PREFERRED SKILLS AND EXPERIENCE:</h3><ul><li>Professional experience in quantitative trading, systematic strategies, or quant research at a hedge fund, prop trading firm, asset manager, or investment bank</li><li>Track record of publication(s) in refereed journals/conferences in finance, econometrics, machine learning, or related fields</li><li>Prior teaching, mentoring, or tutorial experience (university level or industry training)</li><li>Working proficiency in Python (pandas, NumPy, SciPy, scikit-learn, PyTorch/TensorFlow, statsmodels, polars, etc.) and/or R for financial modeling and data analysis</li><li>Familiarity with backtesting frameworks, vectorized computation, and handling large financial datasets</li><li>CFA, FRM, CQF, CAIA or similar professional designations</li><li>Experience with high-frequency data, execution algorithms, or market microstructure research</li><li>Previous work involving large language models, reinforcement learning, or AI evaluation pipelines (a strong plus)</li></ul><h3>LOCATION AND OTHER EXPECTATIONS:</h3><ul><li style="font-family:'helvetica' , 'arial' , sans-serif">Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.</li><li style="font-family:'helvetica' , 'arial' , sans-serif">For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required.  On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. </li><li style="font-family:'helvetica' , 'arial' , sans-serif">Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.</li><li style="font-family:'helvetica' , 'arial' , sans-serif">For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.</li><li style="font-family:'helvetica' , 'arial' , sans-serif">We are unable to provide visa sponsorship.</li><li style="font-family:'helvetica' , 'arial' , sans-serif">For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.</li></ul><h3>COMPENSATION AND BENEFITS:</h3><p>US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.</p><p>Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.</p><div class="content-conclusion"><p><em>xAI is an equal opportunity employer. For details on data processing, view our </em><em><a href="https://x.ai/legal/recruitment-privacy-notice" rel="nofollow noopener noreferrer" target="_blank">Recruitment Privacy Notice</a>.</em></p></div>

Finance Expert - Quantitative Trading

Algorithms

Apple Macs

Asset Management

Bank Stress Testing

Chartered Financial Analyst (CFA)

Compensation and Benefits

Conferences

Construction

Cost Modeling

Data Collection

Data Formats

Data Modeling

Data Processing

Data Quality

Data Sets

Detail Oriented

Econometrics

Finance

Financial Analysis

Financial Modeling

Financial Systems

Hedge Funds

Investment Services

Leadership

Legal

Mac Operating System

Machine Learning

Market Research

Microsoft Windows Operating System

Modeling Languages

Operations Research

Physics

Presentation/Verbal Skills

Problem Solving Skills

Publications

Reinforcement Learning

Risk Modeling

Securities and Exchange Commission (SEC)

Sports Officiating

Technical Support

Training Data Sets

Training/Teaching

Usability Engineering

Writing Skills

GreenHouseAPI

In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.). Proficiency in Microsoft Word, Microsoft Excel, including advanced functions such as pivot tables and financial modeling and relevant business intelligence tools.

YEAR

Overview:
<p style="margin:0px">Join our dynamic emerging markets team as a Portfolio Analyst focused on equity portfolio trading, portfolio analytics, basic ESG and fundamental research.  This full-time role offers deep exposure to investment research, portfolio construction, and client strategy within a single asset class and investment team. Analysts will work closely with experienced professionals, gaining hands-on experience and building a strong foundation for a long-term career in asset management. </p><p style="margin:0px"> </p><p style="margin:0px">We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days a week.</p><p style="margin:0px"> </p><p style="margin:0px">Location: San Francisco, CA</p>

Responsibilities:
<ul><li style="margin-left:0.25in">Assist Analysts and Portfolio Managers in fundamental research and maintenance of Emerging Markets securities for various strategies.</li><li style="margin-left:0.25in">Actively participate in team meetings and training sessions, seeking opportunities to learn from experienced professionals and contribute to discussions.</li><li style="margin-left:0.25in">Assist Portfolio Managers in trading Emerging Markets equities and monitoring daily cash flows.</li><li style="margin-left:0.25in">Monitor investment portfolios, helping to identify potential risks, opportunities, and performance trends.</li><li style="margin-left:0.25in">Collaborate with cross-functional teams, including research analysts, portfolio managers, compliance, operations and traders, to support ESG and fundamental investment initiatives.</li><li style="margin-left:0.25in">Engage in ad-hoc projects, such as performance attribution analysis, risk management assessments, and scenario modeling.</li></ul>

Qualifications:
<p style="margin:0px">Required Qualifications:</p><ul><li style="margin-left:0.25in">An undergraduate degree in Finance, Business Administration, Economics, Accounting or related fields.</li><li style="margin-left:0.25in">Also appropriate for professionals with 1-2 years of equity research experience seeking to deepen coverage responsibility and expand impact within an active investment platform.</li><li style="margin-left:0.25in">Solid knowledge of AI tools for data search and fundamental research</li><li style="margin-left:0.25in">Strong interest in fundamental analysis, ESG integration and basic understanding of financial markets.</li><li style="margin-left:0.25in">Solid understanding of financial concepts and basic investment principles and ESG investing.</li><li style="margin-left:0.25in">Proficiency in Microsoft Word, Microsoft Excel, including advanced functions such as pivot tables and financial modeling and relevant business intelligence tools.</li><li style="margin-left:0.25in">Strong analytical, critical thinking skills and attention to detail, with the ability to interpret and manipulate financial data effectively.</li><li style="margin-left:0.25in">Excellent communication skills, both verbal and written.</li><li style="margin-left:0.25in">Demonstrated ability to work collaboratively in a small team-oriented environment.</li><li style="margin-left:0.25in">Proactive mindset, showing initiative, curiosity, and a desire to learn and grow.</li><li style="margin-left:0.25in">Demonstrated interest or exposure to Emerging Markets, with relevant foreign language proficiency a plus</li><li style="margin-left:0.25in">Ability to work independently and collaboratively in a cross-functional environment.</li><li style="margin-left:0.25in">Remain in stationary position for prolonged periods of time</li><li style="margin-left:0.25in">Operate computer programs and software</li><li style="margin-left:0.25in">Ability to communicate effectively with audiences in person and in electronic formats</li><li style="margin-left:0.25in">Day-to-day contact with others (co-workers and/or public)</li><li style="margin-left:0.25in">Ability to work in a collaborative business environment in close quarters with peers and varying interruptions.</li></ul><p style="margin:0px"> </p><p style="margin:0px"> </p><p style="margin:0px"><em><strong>Please note</strong></em><em>: This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in The United States without sponsorship now or in the future.</em></p>

Compensation:
<p style="margin:0px">Base Pay Range: $90,000 - $110,000</p><p style="margin:0px"> </p><p style="margin:0px">Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary internal peers, prior performance, business sector, and geographic location.  In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)</p><p style="margin:0px"> </p>

Disclosure:
<p style="margin:0px">We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status</p>

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