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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering problem solver who is motivated by unsolved challenges. What You’ll Bring: Degree (BEng, MSc and PhD) from a top university in a field, such as: Mathematics, Computer Science, Physics, Electrical engineering or equivalent High GPA and academic grades Research mentality: deep thinker, creative, strong work ethic, persevering, smart a self-starter Programming skills – C++ and Python predominantly, but newer skills welcomed too Strong interest in learning about worldwide financial markets Strong communication skills in English – including both written and verbal As a plus: While not required, a strong interest in financial markets will definitely be beneficial. Prior experience in quant research will count as a big plus Strong record of research achievement – examples include scientific publications, conference presentations, grants or industry awards By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing on Quant Macro signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets, specialized in futures contracts or Macro asset classes – Commodities, FX, Interest Rates, or Equity Indices. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. What You’ll Bring: Degree (BEng, MSc and PhD) from a top university in a field, such as: Mathematics, Computer Science, Physics, Electrical engineering, Financial Engineering that is highly analytical or equivalent Expertise in the typical quantitative research toolkit: data processing, modeling, and visualization in python, R, or C++ Experience with futures contracts or Macro asset classes – Commodities, FX, Interest Rates, or Equity Indices–is not required, but is a significant plus. High GPA and academic grades Research mentality: deep thinker, creative, strong work ethic, persevering, smart a self-starter Strong interest in learning about worldwide financial markets Strong communication skills in English As a Plus: Strong record of research achievement – examples include scientific publications, conference presentations, grants or industry awards By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. WHAT YOU’LL BRING: Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc. Knowledge of Linear Algebra, Statistics, Machine Learning Prior experience in Finance/Trading is a plus. Be competent in a programming language (Python, Unix) Possess good English language skills Have a strong interest in learning about worldwide financial markets Possess a relentless drive to succeed, supplemented by a strong work ethic By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.The Role: We are seeking interns to work alongside experienced quantitative researchers around the world. You will be responsible for supporting quant researcher's from data study, idea generation, through to alpha construction. You will be exposed to a sophisticated quantitative research platform with access to an extensive range of large and unique datasets across the asset class spectrum. We will provide you with opportunities to refine your research skills, collaboration opportunities with other quant research teams globally, and guidance sessions on career development and your next steps. Starting in October 2026, the program will run for a duration of 6 months. What You'll Bring Candidates holding or pursuing a BS, MS, or PhD in Math, Physics, Computer Science, Statistics, Engineering, or other quantitative fields with excellent academic records are strongly preferred. Python and shell scripting are required. Other programming languages are a plus (e.g., R, K, C#, C++, Matlab...). Candidates should have a scientific attitude, strong intellectual curiosity, be self-motivated, and naturally inclined to deep thinking, driven by unsolved challenges. Prior experience translating mathematical concepts into code is required. Any prior quantitative research experience or working in a data-intensive research environment is a plus. Application of machine learning, NLP, or AI techniques is a plus. Fluent English and excellent communication skills are required. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in product research in an applied research setting, or similar. Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go). Preferred qualifications: Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field. 3 years of experience working with executive leadership (e.g., Director level and above). 2 years of experience conducting UX research on products, managing projects, and working in a large, matrixed organization. About the jobAt Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products.You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value various educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Responsibilities Define and measure quantitative UX goals and metrics in collaboration with designers, qualitative researchers, data scientists, engineers and program managers. Develop code and statistical models to understand user experience. Conduct empirical research using methods from computer science, quantitative social science, statistics, econometrics, and other fields to understand user behavior and extract meaningful patterns from large data sets. Examine existing data and product designs to generate hypotheses and plans for high-impact research. Prioritize and drive research to improve user experience. Communicate findings to stakeholders in the company. Make research findings convincing and actionable for both research experts and non-experts. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in product research in an applied research setting, or similar. Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C++, Java, or Go). Preferred qualifications: Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field. Experience in programming computational and statistical algorithms for large data sets. Experience with SQL, R, or Python for analyzing large datasets and user logs to complement primary research findings. Experience designing advanced evaluation frameworks while processing with multimodal data input.Knowledge of Human-Computer Interaction (HCI) principles to influence the design and evaluation of interactive systems. Understanding of user research questions and technical tools to analyze data and measure products user experience and interaction. About the jobAt Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products.You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value educational experiences—from Computer Science to Psychology—and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive. As a Quantitative UX Researcher for Spaces UX within Corporate Engineering, you will act as a key partner, blending research and product expertise to quantify the user experience of Google’s physical security and workplace experience platforms. You will leverage advanced statistical and data science techniques, including experimentation, to drive data-informed innovation and enhance user experiences, specifically supporting AI-driven innovation across workflows. You will be developing and implementing experimentation frameworks and data analysis on live sandboxes to help the team iterate on AI-powered workflows. You will influence product and engineering directions by driving multiple projects to improve quantitative insights, including instrumentation, measurement definition, metrics tracking, and statistical analysis.At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.Responsibilities Define and measure quantitative UX goals and metrics. Drive the adoption of instrumentation and data infrastructure within your project area to enable measurement. Apply advanced statistical techniques to solve complex problems. Execute data analysis using different sources (e.g., survey data with system logs) to identify key drivers of AI success and understand user behavior. Develop and execute a project-level research road map to inform product strategy. Collaborate closely with product management and engineering to identify high-impact research questions and translate statistical findings into product requirements and data pipeline definitions. Create clear, data-backed narratives that communicate user behaviors and technical analysis to stakeholders, ensuring alignment on user needs and product strategy. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

集團簡介 MaiCoin 集團為台灣交易量最大，且唯一具備區塊鏈技術公司之數位資產領導品牌，成立於 2013 年，是台灣虛擬通貨產業之先鋒，致力透過區塊鏈底層技術與虛擬通貨應用等，推動數位資產主流化，提供大眾安全與多元的選擇，目前主要提供數位資產交易、數位資產延伸產品服務與企業區塊鏈技術應用解決方案之服務，服務業務包含 MaiCoin 數位資產買賣平台、MAX 數位資產交易所、AMIS 帳聯網路區塊鏈技術、Qubic NFT 技術整合服務與 MaiCapital 對沖基金公司(香港)等。 公司文化 MaiCoin Culture(https://github.com/MaiAmis/Careers/blob/master/MaiCoin/maicoin-culture.md)是我們的工程文化，期待與我們有相同信念的人才，能夠一同加入我們的行列，共同創造台灣的競爭力。 團隊簡介與公司地點請參閱:https://github.com/MaiAmis/Careers/blob/master/MaiCoin/README.md 職位說明 我們正在尋找一位技術能力極強的量化研究員（Quantitative Researcher），加入我們的交易團隊。此職位不同於一般的量化職缺，將專注於加密貨幣市場的微觀結構（market microstructure）。 你將負責完整的 alpha 生命週期：從逐筆（tick-by-tick）數據中挖掘訊號，到在微秒級競爭的生產環境中優化執行邏輯。你將對策略績效負完全責任，並確保模擬（simulation）與實際市場之間具有最高一致性（fidelity）。 工作職責 策略研究（Strategy Research)設計、開發並部署做市（market making），專注於訂單流毒性（order-flow toxicity）、流動性提供（liquidity provision），以及短期價格預測（alpha） 模擬與一致性（Simulation Fidelity建立並優化高擬真（high-fidelity）的回測系統，準確模擬交易所撮合機制、延遲（latency）與市場衝擊（market impact） 確保回測與實盤 PL 之間達到 1:1 的對帳一致性（reconciliation） 市場微結構分析（Microstructure Analysis)分析各交易所的特性（例如：rate limit、手續費結構、API 行為差異）以在下單速度與掛單位置上取得競爭優勢 策略校準（Strategy Calibration）進行嚴謹的交易後分析（post-trade analysis），識別績效漂移（performance drift）根據市場狀態（market regime）即時變化，調整策略參數與風控限制 職位需求 需具備數理相關領域學士以上學位（物理、數學、電腦科學、工程等）專長於隨機過程（stochastic processes）或計算建模（computational modeling）Alpha 能力（Proven Alpha），具備在實盤環境中開發穩定獲利的策略經驗（加密貨幣、股票或外匯市場）模擬能力（Simulation Mastery），能夠建立高精度模擬環境，使滑價與延遲模型貼近真實交易結果技術能力（Technical Proficiency），強大的實作能力（hands-on coding），精通 Go 或 C++，熟悉使用 Python 進行數據分析與研究。若沒有 Go / C++ / Java 經驗，須先學習 Go，面試題目需以 Go 來作答。三年以上工作經驗 薪資與福利 保證底薪 NTD 1,000,000 ~ 2,000,000 特別優異者專案處理績效獎金專案獎金認股權 福利與環境 Macbook + 27" 大螢幕隨時補充滿滿的零食與飲料不定期辦公室聚餐與教育訓練開放式管理風格與舒適工作環境便利交通位置，捷運站出口直達 出勤與休假 彈性上班時間，可申請在家工作員工一入職除法定特休，每年享有30日不扣薪事病假女性員工每年還有3日不扣薪生理假 津貼補助 年度健康促進補助 NTD 30,000結婚補助 NTD 12,000生育補助 NTD 20,000 - NTD 50,000喪葬補助 NTD 30,000團隊團建活動每季每人補助 NTD 1,000員工推薦獎金員工三節禮券員工團體保險個人進修補助 人資或徵才聯絡方式 請將履歷夾帶於附件，寄信至 [email protected]，標題註明應徵 Quantitative Researcher， 我們將會與您聯絡。謝謝 更多資訊 集團簡介：MaiCoin" rel="noopener noreferrer">https://www.maicoin.com/zh-TW/aboutMaiCoin" rel="noopener noreferrer">MaiCoin 數位資產買賣平台：MAX" rel="noopener noreferrer">https://www.maicoin.com/MAX" rel="noopener noreferrer">MAX 數位資產交易所：https://max.maicoin.com/

Job Title: Quantitative Researcher Company: Block River Technologies Location: Remote/Hybrid Company Overview Block River Technologies is a quantitative research and technology firm. Block River Technologies develops advanced mathematical models and innovative technology solutions to analyze global financial markets. Its founders have extensive experience in the financial industry and advanced degrees in science, technology, engineering, and mathematics from the world’s leading universities. We are currently seeking talented, articulate, highly-motivated candidates who will contribute to the design, development, and maintenance of automated trading systems, quantitative research tools, high-performance data management systems, portfolio management tools, and technical architecture/infrastructure. The responsibilities of new hires will span a wide variety of programming, data analysis, statistical and other quantitative projects. These projects often range in duration and programming environment. This position will have a high degree of autonomy as well as responsibility in the design, direction, and approach in these tasks. We believe in a casual and collaborative atmosphere in which the candidate can become an integral part of a smaller team. This position allows for a high degree of freedom as well as the ability to be actively involved in the solutions to a variety of challenging problems. While the work is rigorous and demands a high level of commitment, the firm maintains an open, cooperative and collegial atmosphere. Job Responsibilities • Develop quantitative trading strategies using statistical models to capture market inefficiencies • Assist senior strategists in research and management of quantitative strategies • Build algorithms, models, and tools to: o Facilitate quantitative research and production trading o Analyze/manage large data sets to improve profitability o Evaluate and optimize trading strategies and signals o Implement quantitative methodologies for portfolio optimization and risk management o Test hypotheses about markets and simulate trading strategies • Research and backtest trading strategies in areas such as: o Basis trading o CTA / trend-following o Volatility trading (e.g., covered calls, gamma scalping) • Evaluate new methodologies and technologies to improve research and production trading environments, system performance, and functionalities • Generate reports to explain quantitative research results to management and evaluate strategy risk/performance • Maintain technical documentation of procedures, models, and programming work • Operate, troubleshoot, and debug software in a fast-paced environment

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.The Role: The Quantitative Execution team is seeking an Execution Researcher to further refine WorldQuant's execution capabilities across a variety of cash and derivative products to be based in Singapore. Key Responsibilities: Algorithm Design Implementation: Develop detailed specifications for new and enhanced execution algorithms. Implement, test, and deploy robust quantitative trading strategies and tools, primarily using Python. Tooling: Build robust and reusable tools in Python to improve the overall team productivity. Market Impact Modelling: Research, develop, and refine sophisticated market impact models to seek to predict and minimize the cost of trading. Leverage large datasets and advanced statistical/machine learning techniques to improve model accuracy. Transaction Cost Analysis (TCA): Conduct in-depth Transaction Cost Analysis (TCA) to evaluate the performance of execution strategies, identify drivers of transaction costs, and pinpoint opportunities for optimization. Provide actionable insights to portfolio managers and traders. Collaboration: Work closely with the QES Lead for APAC to align strategies with regional market nuances and business objectives. Collaborate with trading desks, technology teams, and other quantitative researchers to integrate solutions and drive innovation What You’ll Bring: PhD/Master’s in a quantitative field (CS, Mathematics, Statistics, Physics, Engineering, Quant Finance) from a top university, with 0–4 years’ experience in quantitative research and/or development for systematic or execution strategies. Solid Python programming skills (required), strong understanding of data structures and algorithms, and experience manipulating large-scale datasets using SQL; C/C++ is a strong differentiator. Strong expertise in regression models, time-series analysis, and applied machine learning, with exposure to deep learning and/or reinforcement learning, ideally in data-intensive, production-oriented environments. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

**Job Title:** Options Pricing Quant Modeler (Part-Time Consultant) **Location:** Remote / Flexible **Position Overview:** We are seeking an experienced Options Pricing Quant Modeler to join our team as a part-time consultant. In this role, you will be responsible for developing, validating, and enhancing pricing models for structured products and exotic options. This is an excellent opportunity for a seasoned professional with a background in a small trading company or bank who thrives in a dynamic environment and enjoys the flexibility of consulting work. **Key Responsibilities:** - Develop and enhance pricing models for structured products and exotic options. - Perform model validation, calibration, and testing to ensure robustness and accuracy. - Analyze market data and use quantitative techniques to optimize pricing strategies. - Collaborate with traders and other stakeholders to understand market trends and product features. - Provide expertise on the valuation and risk management of complex derivatives. - Document model methodologies and results, ensuring compliance with regulatory requirements.