Finance Fellow Jobs

Ready to Jumpstart Your Career? Join Guidepoint’s Phoenix Office Visit with ALPFA @ ASU! Are you an ASU student interested in client-facing roles, professional services, or exploring fast-paced early-career opportunities? Guidepoint is excited to invite you to our Phoenix office for an exclusive opportunity to meet our team, experience our workplace, and learn more about starting your career at Guidepoint. 🗓 Date: October 23, 2026 ⏰ Time: 10:00 AM–12:00 PM Arizona Time 📍 Location: Guidepoint Phoenix Office What to Expect 🏢 Tour Our Phoenix Office Get a behind-the-scenes look at where our Phoenix team works and experience our office environment firsthand. 💬 Hear From Our Team Join an employee panel to hear about Client Service career paths, day-to-day experiences, and what it’s really like to start your career at Guidepoint. 🤝 Network Over Lunch Connect with Guidepoint employees and fellow ASU students while enjoying lunch and getting your questions answered in a more informal setting. 📄 Optional 1:1 Resume Review Want personalized feedback? Sign up for an optional 1:1 resume review with a Guidepoint recruiter to get tips on positioning your experience for early-career opportunities. Who Should Join Us? 🎓 ASU Students Open to all majors, especially juniors and seniors interested in professional services, client service, business, finance, communications, or other people-focused careers. 🗣 Strong Communicators If you enjoy building relationships, problem-solving, and working with people, you’ll have the opportunity to learn how those skills translate to a career at Guidepoint. 💡 Curious and Motivated Learners Whether you’re actively searching for your next opportunity or simply exploring potential career paths, this visit is a chance to learn more and ask questions directly from our team. 📍 Available October 23 Join us in person at the Guidepoint Phoenix office for this exclusive ASU opportunity. Ready to see what a career at Guidepoint could look lik

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As our Senior Reward Analyst you will join a close-knit Reward team, working cross-functionally with HR Business Partners, Talent Acquisition, Finance, and fellow "Trusties" to drive data-informed people decisions. Our mission is to deliver equitable, transparent, and market-competitive compensation and benefit programs that attract and retain top global talent. In this r ole, you will tackle exciting challenges—from designing total reward dashboarding and leveraging compliant AI solutions to leading key annual review cycles, equity grants, and global market benchmarking. You will also play a pivotal role in advancing our pay equity analysis, statutory gender pay gap reporting, and job architecture , directly reinforcing our commitment to an inclusive, transparent, and open-to-all workplace culture . If you are a collaborative data enthusiast eager to deliver impactful insights and elevate our global reward strategy, we would love to welcome you aboard. What you’ll be doing: Analyze market data to inform compensation and benefit decisions that will enhance our ability to attract top talent across the countries the business operates Stay up to date with market trends and legislation to advise identify risks and opportunities Support/lead on activities required to deliver a well communicated and accurate annual salary review, bonus calculation, equity grants, benefits window and promotion cycles. Partner with Finance on budget modelling, cost analysis and scenario planning. Support the design of new/updated benefits, short term incentives and long term incentives Run regular pay equity analysis and support statutory ge

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. ABOUT THE TEAM + ROLE We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI Platform & Agentic Apps team builds the agent platform behind every AI agent at Robinhood. Today it gives a growing number of engineers and employees an AI teammate that ships code, queries data, and runs operational workflows on their behalf. We're building toward the same platform powering the agents millions of customers interact with directly, in real time. These agents don't just answer questions — they're designed to take real action across carefully curated meta harnesses. This is agentic AI at real scale, in a regulated financial environment, and it will change how Robinhood works! As a Staff Machine Learning Engineer on the AI Platform & Agentic Apps team, you will design and build the harness that every agent at Robinhood runs on. A critical part of the role is making those agents trustworthy at scale: trajectory-level evals that measure how an agent reasons and acts, and action guardrails — permission models, approval gates, and sandboxing — built as platform primitives that other teams adopt. You'll be a technical anchor on a growing, high-caliber team, collaborating with product, infrastructure, and fellow ML engineers to take ambitious ideas from

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As our Senior Reward Analyst you will join a close-knit Reward team, working cross-functionally with HR Business Partners, Talent Acquisition, Finance, and fellow "Trusties" to drive data-informed people decisions. Our mission is to deliver equitable, transparent, and market-competitive compensation and benefit programs that attract and retain top global talent. In this r ole, you will tackle exciting challenges—from designing total reward dashboarding and leveraging compliant AI solutions to leading key annual review cycles, equity grants, and global market benchmarking. You will also play a pivotal role in advancing our pay equity analysis, statutory gender pay gap reporting, and job architecture , directly reinforcing our commitment to an inclusive, transparent, and open-to-all workplace culture . If you are a collaborative data enthusiast eager to deliver impactful insights and elevate our global reward strategy, we would love to welcome you aboard. What you’ll be doing: Analyze market data to inform compensation and benefit decisions that will enhance our ability to attract top talent across the countries the business operates Stay up to date with market trends and legislation to advise identify risks and opportunities Support/lead on activities required to deliver a well communicated and accurate annual salary review, bonus calculation, equity grants, benefits window and promotion cycles. Partner with Finance on budget modelling, cost analysis and scenario planning. Support the design of new/updated benefits, short term incentives and long term incentives Run regular pay equity analysis and support statutory ge

Job description We’re Hiring GST & Income Tax Litigation Lead / Head (CA OR Inter CA Preferred) - Rajkot (Work from Office) Company Description M/s. Arvindkumar R. Maniar is a professional services consultancy firm with 60+ years of expertise, based in Rajkot. The company specializes in a wide range of fields including accounting, taxation, finance, management, IT, marketing, sales, and human resources development. Known for its commitment to integrity, transparency, and excellence, the firm fosters an environment of continuous improvement, employee development, and customer satisfaction. With a strong legacy, M/s. Arvindkumar R. Maniar stands as a reliable partner for clients seeking professional service solutions. Role Description This is a full-time, on-site role for a GST & Income Tax Litigation Lead / Head located in Rajkot. The selected candidate will oversee and manage GST and income tax litigation, ensure accurate tax planning and preparation, and maintain compliance with tax laws. Responsibilities include direct communication with clients, legal interpretation of tax laws, preparation and filing of returns, and representation before tax authorities. The role requires leadership and collaboration with fellow team members to ensure the successful execution of tasks. Qualifications Requirements: CA (preferred) / CA Inter / Finalist 3+ years experience in litigation Leadership & independent handling capability Strong knowledge of Tax Law and Tax regulations CA qualification preferred, or equivalent educational background in Finance, Taxation, or related fields Ability to manage litigation procedures and coordinate with tax authorities effectively Prior experience in a similar leadership role is highly advantageous Location: Arvindkumar R. Maniar & Co. "Chartered Accountant" "Abhay Nivas" 14, Panchnath Plot, Near Panchnath Temple Limda Chowk, Opp. Panchnath PAN Shop Rajkot 360001 Sukruti M. 6354821313 Interested candidates may share their resume or cont

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. Join the Institutional Operations Solutions (IOS) team within the Institutional group as a Institutional Operations Intern. This team manages risk and delivers operational solutions across Coinbase’s Institutional organization, supporting a broad range of teams and functions that help scale the institutional business. You'll work cross-functionally with internal stakeholders and institutional clients, tackling real operational challenges. What you'll do: Support day-to-day IOS operations while identifying and managing operational risk across compliance and regulatory requirements Identify opportunities to improve existing processes and risk management capabilities, recommending solutions backed by data analysis Partner with Product, Engineering, and other cross-functional stakeholders to build technology solutions that support institutional operations at scale Analyze data sets and deliver recommendations grounded in sound quantitative reasoning Collaborate with fellow interns on a group project solving a real business problem, presenting findings and solutions to the leadership team Required Skills and Experience: Currently pursuing a degree or certificate in business, management, finance, accounting, or a related discipline Demonstrated problem-solving ability with capacity to identify second-order effects and

About BlockTech BlockTech is a fast-paced algorithmic market maker at the frontier of cryptocurrency derivatives and spot markets, expanding into new markets. We employ algorithms to trade our own capital, 24/7, across some of the most data-rich venues in finance. For the Summer of 2027, we're looking for a Quantitative Research Intern to join our option pricing team in Amsterdam. The role This is an 8-10 week summer internship at our Amsterdam office, giving you a unique opportunity to work on an end-to-end project with a real and direct business impact. You’ll work in a small team and get the chance to understand how a trading firm actually works from the inside. You will: Participate in a customized training program that will give you an understanding of financial markets in general, the company and the project. Own a research project from design to deployment guided by experienced Quantitative Researchers. Understand how technology and research enable our trading, market data, and infrastructure systems Collaborate with fellow researchers and software engineers to bring your project to success Learn from the best, all while leveraging cutting-edge technology What we're looking for Currently in your (pen)ultimate year and enrolled in, or planning to pursue, at least a Master’s degree in a quantitative field at a top European university. Available full-time in Amsterdam, for a duration of 8 - 10 weeks over the summer of 2027, starting on the 5th of July Working knowledge of Python A critical mind that follows things until completion, high ownership, and clear communication in English What's in it for you? A summer internship in a relaxed and modern office in Amsterdam A dedicated mentor, a team of fellow interns and full-time quantitative researchers, an in-house training program, and exposure to how engineering, research, and trading actually work together The opportunity to work at the forefront of automated trading, in an environment that embraces AI to both ac

About BlockTech BlockTech is a fast-paced algorithmic market maker at the frontier of global cryptocurrency derivatives and spot markets, expanding into new markets. We employ algorithms to trade our own capital, 24/7, across some of the most data-rich venues in finance. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL could not be shorter. For the Summer of 2027, we're looking for a Quantitative Research Intern to join our Delta One team in Singapore. The role This is a 12-week summer internship at our Singapore office, giving you a unique opportunity to work on an end-to-end project with a real and direct business impact. You'll work in a small team and get the chance to understand how a trading firm actually works from the inside. Delta One is where we trade linear products: (perpetual) futures and spot. These are fast-moving, data-rich markets and a good place to see a research idea meet reality quickly. You will: Participate in a customized training program that will give you an understanding of financial markets in general, the company, and the project. Own a research project from design to deployment, guided by experienced Quantitative Researchers. Work with linear products and the data around them Understand how technology and research enable our trading, market data, and infrastructure systems. Collaborate with fellow quantitative researchers and software engineers to bring your project to success. Learn from the best, using technology built for speed and precision. What we're looking for Currently in your (pen)ultimate year studying a quantitative field at a top university in Singapore Available full-time in Singapore for a duration of 12 weeks over the summer of 2027, starting on the 10th of May Working knowledge of Python Comfort with probability, statistics, and working with messy real-world data A critic

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 is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p

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

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. About the Software Engineer Internship The Software Engineer Internship at Point72 provides individuals interested in pursuing a career in technology at an investment firm with a valuable, hands-on experience. During the program, you will gain exposure to: Developing and enhancing software applications that support asset management functions, including trading systems, research platforms, and data analysis tools Code reviews, maintaining existing codebases, and ensuring software scalability and integrity Technologies and methodologies like AI, machine learning, big data, and cloud computing to solve complex problems Collaborating with cross-functional teams to ensure technology solutions align with business goals and processes Documenting and presenting design decisions, code, and functionalities to team members and stakeholders Interacting with senior-level professionals The fast-paced, competitive hedge fund world and industry best practices Summer Internship Program at Point72 In addition to the learning and development you’ll receive in your day-to-day role with your team, as a part of our summer internship program you will: Work alongside your fellow interns and be mentored by experienced professionals Meet your peers through designated intern programming, volunteer opportunities, and social events Attend sessions with senior leaders discussing their

A Career with Point72’s Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll support Analytics team members as they work with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us. About the MS/PhD Data Scientist Internship Our data scientists conduct research through data mining and statistical modeling to discover insights from large, complex data sets that are used by our investment professionals to make investment decisions. During the 10-week program based in our New York office, you will gain exposure to: A highly collegial environment that emphasizes teaching and learning as a team Tackling challenges of featuring and modeling large and unstructured data using machine learning and statistical techniques Managing all aspects of the research and execution process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring Working alongside Analytics team members who deliver research findings to investment teams, portfolio managers, and other internal clients Driving technical innovation through a collaborative R&D process Summer Internship Program at Point72 In addition to the learning and development you’ll receive in your day-to-day role with your team, as a part of our summer internship program you will: Work alongside your fellow interns and be mentored

Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational ef

A Career with Investment Services at Point72 Our Investment Services colleagues are subject-matter experts who excel in their fields, comprise more than half our firm, and are critical to our success. As strategic partners, they support our investment professionals across areas including strategy, operations, finance, technology, compliance, tax, HR and legal. Everyone on every team has the opportunity to make an impact on our business. About the Investment Services Internship If you are interested in pursuing a career in the corporate functions of a leading global alternative investment firm, this 10-week summer internship will provide you with valuable, hands-on experience at a complex global firm. You will gain exposure to the fast-paced, competitive hedge fund industry alongside senior professionals dedicated to your success. In addition to the learning and development you'll receive in your day-to-day role with your team, as part of our summer internship program you will: Work alongside your fellow interns and be mentored by experienced professionals Meet your peers through designated intern programming, volunteer opportunities, and social events Attend sessions with senior leaders discussing their expertise and career paths Have hands-on access to best-in-class tools and resources Gain exposure to groups and functions with unique responsibilities and perspectives on our industry Develop your technical, writing, and presentation skills When you apply to our internship program, you will be considered for a variety of teams based on your interests and experience and our business needs. What's Required Currently pursuing a bachelor's degree Interest in the asset management industry Ability to manage multiple tasks and deadlines in a fast-paced environment Strong attention to detail Strong analytical, writing, verbal communication, and technical skills Demonstrated ability to work cooperatively with all levels of the team Demonstrate professionalism and integ