Markets Quantitative Analyst Jobs

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Quantitative Analytics and Modeling Analyst Senior within PNC's Model Risk Management organization, you will be based in Pittsburgh, PA, Boston, MA or Tysons Corner, VA. We are seeking an experienced model validator to be part of our Model Risk Management team at PNC. The position reports to a validation manager in Commercial Credit and Financial Valuation Models and is part of the Independent Risk Management organization. This role involves performing rigorous independent reviews on some of PNC’s most important models including Commercial & Industrial, Commercial Real Estate and retail commercial loss forecasting models, risk rating models, as well as financial valuation and investment models. This role also participates at and provide individual and aggregate model risk assessment in various model working groups and forums. PNC is an in-office company that fosters a supportive culture

About Yondr Yondr is a disruptor. We challenge convention and simplify complexity. A global developer, owner operator and service provider of data centers, we deliver complex data center capacity needs for the world’s largest tech companies. Our exponential growth sees us looking for extraordinary people to help accelerate us towards our vision: a tomorrow without constraints. But we can’t do this without you. About the Role With continued growth across our business, we are actively seeking to have a new member join our team. This is an exciting role to join an existing group of skilled development and investment professionals, enhancing the team capabilities and becoming an integral part of a rapidly growing business. We are searching for someone who has excellent quantitative and analytical skills, is comfortable building financial models and has experience with communicating with internal and external stakeholders. You will be a highly valued and trusted member of our ambitious and hardworking team, in a business that continues to scale to new heights. Main Responsibilities / Take responsibility for development and management of financial models and valuation analysis in support of potential transactions and investment opportunities / Support in all aspects of financing processes included due diligence, project management, data room management, financial analysis, legal negotiations and preparation of materials / Work closely with the Development and Finance teams to perform detailed financial analysis on new developments as well as existing portfolio assets / Production of presentation material for senior management, board members, investors, lenders and joint venture partners / Assist with commercial negotiation of legal contracts for transactions / Research and analysis of market trends and sector / asset valuations / Support in business strategy and individual project delivery /

Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors. Approximately 170 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here. We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team’s primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques. The Machine Learning Analyst’s primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects. The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ide

Graviton Research Capital is one of the largest quantitative trading firms in APAC, with a strong footprint across 40+ global exchanges and a rapidly growing presence across multiple geographies. We are a bootstrapped firm with a long-term vision, focused on building high-performance teams that operate at scale in some of the world’s most competitive markets. Since our inception, we have built a team of exceptional researchers, portfolio managers, and technologists. We are seeking an Operations Analyst ( middle office ) for our team in Singapore. What You Will Do: Oversee daily trade bookings, position and P&L reconciliations, settlement challenges, and corporate action events Ensure accurate and timely delivery of reports on trades, positions, cash holdings, costs, and P&L attribution Manage all operational aspects throughout the trade lifecycle, from initiation to settlement Liase with counterparties, custodians, and prime brokers to on-board new businesses and address daily issues Identify and drive process improvement initiatives, focusing on increasing operational efficiency and scalability. Design and implement automated solutions that streamline workflows using best practices in data management and automation. What You Need to Succeed: 2 to 5 years of Middle Office/Operations experience, preferably from a buy-side environment (Hedge funds, Prop Trading) or Prime brokerage Solid product knowledge in listed equities (a must), ETFs, derivatives, and FX Familiarity with Asian securities markets and their respective regulations is preferred Proficient in Excel, with practical experience in VBA, SQL, and Python Demonstrated experience in process improvements and designing automated solutions, ideally within a trading environment Excellent problem-solving skills with a proactive approach to identifying and addressing areas for improvement Why Join Graviton? Work in a high-performance, data-driven trading environmen

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Responsibilities: The Trade Monitoring Analyst will work closely with the firm’s senior management on a variety of tasks, including: Start and supervise automated trading systems for multiple exchanges and venues Understand how high frequency trading strategies work and make changes in strategy parameters during live trading based on market conditions Build, test and deploy trading monitoring software's to analyze strategy metrics in real time Work closely with Quantitative researchers and Software Developers while testing or deploying updates in GUI, trading infrastructure and strategies Assess live trading for risk and technical issues and quickly respond to unusual behaviors or market conditions Qualifications: Must-Have Requirements Automated Trading Systems/Trading experience Trading Operations Market Monitoring Live Trade Supervision Trading Infrastructure Risk Management (Trading Context) Strategy Parameter Tuning Microsoft Office Proficiency Preferred Technical Skills Linux Basics Python Trading GUI Handling Ideal candidates: Flexible to work in rotational shift Possess a reliable and disciplined approach to work Strong attention to detail Excellent communication skills and fluency in English for business purposes Strong experience of using end user computing tools like Microsoft office and other equivalent products Bachelor's degree with professional experience in a related role at a stock broking firm Benefits: NK Securities Research offers compensation above industry standards for deserving candidates. We are a fast-growing organization where there is no ceiling on the career trajectory of an individual. The startup style governance of the firm enables the newest emplo

About BlockTech BlockTech is a fast-paced algorithmic trading firm trading crypto derivatives and spot across global venues, 24/7, with our own capital. Crypto is one of the few markets where a researcher can still move the edge. The data is abundant, the microstructure is novel, and the loop between an idea and live PnL is short. High-frequency options trading is where we're strongest, and we're widening our scope to include more mid-frequency work. We're looking for a senior Quantitative Researcher with a mid-frequency background to join our Amsterdam trading floor. The role You'll be in charge of developing our mid-frequency capabilities, owning the research agenda end to end, from hypothesis and dataset construction through model training and backtesting to live deployment. You'll sit with traders, researchers, and analysts, and raise the bar for research across the floor. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 3+ years of quantitative research experience at a hedge fund, trading firm, or similar, with mid-frequency models you've taken live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, or computer science) Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep grasp of overfitting, validation design, and feature engineering. You can explain why a model works, not just that it does Software engineering instincts: you write product

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. What you'll do Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the m

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern ML stack (PyTorch and/or

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. What you'll do Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the m

Role: Point72 is looking for a Quantitative Researcher to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities. Responsibilities : Create systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets Conduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning Contribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution Monitor, analyze and improve live trading P&L Collaborate with analysts and strategists to improve PM-facing content Requirements: Undergraduate, Master’s or PhD candidates in a technical field Demonstrated creativity and rigor in the research process Technically comfortable handling large datasets stored in AWS using Python Collaborative mindset Passion for research and financial markets Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment Commitment to the highest ethical standards

Role: Point72 is looking for a Quantitative Developer to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities. Responsibilities : Partner with researchers to release high-quality production code Integrate AI into written content creation, internal client service, and team operations Develop generic frameworks to build flow datasets across equities, credit, and macro Troubleshoot and resolve production issues Requirements: Undergraduate degree or higher in a technical field Strong programming skills in Python Strong orientation towards team success and desire to mentor teammates Passion for technology and markets Strong written and verbal communication skills Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment Commitment to the highest ethical standards

Overview: Guidepoint Insights enables clients to make better-informed decisions through investor-grade surveys, expertly moderated teleconferences, and a growing transcript library. Our team combines former investment professionals, equity research analysts, industry veterans, and scientists to generate content that drives actionable healthcare research. We are looking to add Healthcare Content Analysts, Focus Polls to our team. This role is fundamental to the development, analysis, and presentation of Guidepoint’s healthcare surveys. Healthcare Content Analysts collaborate with analysts to translate investment questions, product catalysts, and healthcare market developments into clear, neutral, and analytically rigorous surveys. The ideal candidate combines strong healthcare research and scientific communication skills with analytical rigor and the ability to develop high-quality surveys and translate quantitative findings into clear, actionable insights for an investment audience What You’ll Do: Independently develop standardized and repeat survey questionnaires using approved templates, historical surveys, company materials, and relevant research Research drugs, medical devices, procedures, companies, treatment markets, and other healthcare topics necessary to develop high-quality surveys Review and validate expert survey responses for inconsistencies, outliers, and potential data-quality issues Analyze survey results to identify adoption trends, utilization patterns, market-share shifts, and competitive dynamics Translate quantitative survey findings into investor-ready charts, presentations, and concise, actionable takeaways Identify potential survey topics based on product launches, clinical and regulatory catalysts, earnings, industry developments, prior survey performance, and emerging investment debates Contribute to the development and the ongoing build-out of Guidepoint’s healthcare knowledge base What You Have: Master’s degree in Life Sciences, Public He

**Must already reside in the New York Tri-state area* The base salary range for this position is $85,000 - $119,000 annually, based on experience, skills, qualifications, and market factors. Want to work in technology within the financial services industry? We are looking for an experienced Production Support Analyst to join a dynamic technology team supporting mission-critical equities trading platforms and alternative trading systems. This role provides direct exposure to electronic trading, market structure, production engineering, and platform reliability within a fast-paced financial markets environment. We would like to talk to you if you: Experienced in supporting distributed systems and high-availability trading platforms. Like to work in a fast-moving environment and are not afraid to improve processes and systems. Enjoy new technological challenges and solving complex production issues. Are keen to learn about electronic trading, market structure, and production engineering while helping users and stakeholders solve critical business challenges. Believe a team working well together is smarter than the single smartest person on that team. Have grit, drive, and a deep sense of ownership. Thrive in a highly collaborative environment partnering with traders, developers, quantitative teams, and business stakeholders. As a Production Support Analyst, you'll help support and maintain mission-critical trading applications and alternative trading systems, ensuring platform stability, operational excellence, incident resolution, and continuous improvement across the production environment. About mthree Since 2010, mthree has been helping clients solve their business and technological challenges. We are a technology and business consultancy with a global workforce delivering significant business and IT projects in some of the largest financial services organizations worldwide. Core Services Consulting and Advisory Managed S

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Research Analyst – JLL What this job involves: The Research Analyst will join JLL's San Francisco Research team to deliver market intelligence that sets JLL apart. You will analyze San Francisco's industrial, office, and flex markets alongside the economic drivers that shape them. This role combines direct client engagement with hands-on data analysis, positioning you at the intersection of urban economics and commercial real estate. You will grow from foundational market research into automated workflows, quantitative modeling, and independent analysis—building both analytical rigor and technical capability. If you're curious about what drives markets and ready to become data fluent while mastering local real estate dynamics, this role offers a clear path forward. What your day-to-day will look like: Develop expertise on San Francisco's economy, industry composition, demographics, and commercial real estate market to identify trends and emerging opportunities Maintain comprehensive market coverage by tracking significant leasing activity, tenant movements, development projects, sales transactions, and ownership changes Meet regularly with clients and internal teams to present market insights, conditions, and forecasts Produce quarterly reports on San Francisco market