Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development team. Algorithm Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models. 

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. You can expect to apply your advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies.

Profile

• You’re excited to apply your research expertise to identify new opportunities in worldwide markets  
• You enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently
• You are a critical thinker who can learn and implement new skills in a fast-changing environment

Qualifications

• You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2026
• Fluency in Python
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
• Brilliant analytical and problem-solving skills
• Ability to work creatively and independently on long-term technical problems

The estimated base salary for this position is 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking curious, thoughtful engineers who enjoy working with data and solving real-world technical problems to join our growing Market Structure Analysis team. In this role as a Quantitative Latency Engineer, you’ll apply data-driven methodologies to understand and optimize trading technology and real-time interactions with financial markets across the globe, spanning traditional and crypto exchanges. No prior finance experience is needed!

Responsibilities 

• Analyze time series network and exchange protocol captures
• Become familiar with the details of specific markets, attend presentations and liaise with exchange counterparts
• Research exchange features, capabilities, and architecture
• Automate collection and visualization of metrics that quantify efficacy of exchange communication
• Formulate and conduct controlled experiments that measure impact of calculated changes to HRT’s trading infrastructure
• Communicate ideas, requirements, and results across disparate teams
• Improve fill rate of our hardware-based trading strategy
• Reduce incidence of cancel-reject responses
• Investigate and report details of various latency-sensitive exchanges

Profile 

• You possess a degree in Data Analytics or a related field
• You can collect and interpret network and/or financial market data
• You have professional experience in latency reduction, preferably in finance
• You have a basic understanding of proprietary trading and exchange technologies

Skills 

• Proficiency in data analytics including statistics, data visualization, and working with large data sets
• Basic understanding of TCP and UDP network protocols
• Extensive experience with Python and relevant data libraries (Pandas, Numpy/Scipy)
• Some familiarity with the details of modern computer systems and networks
• Experience with real time exchange market data and order entry a plus

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 25 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 1,000 employees around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

We are seeking a Proprietary Risk Trader who is focused on ETFs, Single Stocks or Futures to join one of our Global Trading teams.

What you’ll do in this role:

• Build, execute, and risk manage discretionary & semi-systematic strategies end-to-end across ETFs and index futures.
• Run ETF market-making and index arbitrage (cash–futures/TRS basis, baskets), and contribute to central risk book decisions to internalize flow and optimize inventory/hedging.
• Analyse flows & themes (macro, microstructure, corporate actions) to generate tradeable hypotheses and P&L.
• Partner with developers/quants to improve models, data pipelines, and execution tooling (Python-first culture).
• Drive execution quality: route selection, algo parameters, participation, and post-trade attribution.
• Contribute to desk risk positioning and runbooks; uphold controls (price bands, notional caps, borrow/recall awareness.

Requirements

• 5+ years as a trader in ETFs or index futures (prop/MM/sell-side delta-one).
• Asia markets experience (HK/SG/JP/KR/TW at minimum). Onshore China (QFI/Stock Connect, futures) is a strong plus.
• Hands-on exposure to ETF MM, index arbitrage, and/or central risk book workflows.
• Strong Python (pandas/numpy; quick prototyping/backtests; comfort with data hygiene & attribution).
• Ability to translate macro/news into positioning; understanding of microstructure (auctions, halts/LULD, tick/lot, fee tiers) and SBL/borrow dynamics.
• Profitable track record in equities/futures (high-level P&L drivers and risk used to achieve it).
• Nice to have
• Experience with internalization/crossing frameworks; broker algo tuning (VWAP/TWAP/POV).
• Corporate-actions & index events playbooks; AP/issuer interactions for Cr/Rd.
• Mandarin/Cantonese language skills (for brokers/issuers/reg materials) are a plus.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

#LI-AC1

Mission Summary:

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality. The Perception Platform team is central to this mission, operating at the intersection of ML Infrastructure and Perception. We build the foundational frameworks, evaluation pipelines, and tooling that enable our Perception team to scale their work on the tech stack responsible for perceiving the dynamic world around our robo-taxi.

These foundational systems include our large-scale data pipelines,  which are critical for efficient end-to-end ML development (e.g. data transformation, model training, and model evaluation) of our on-car and off-car Perception solutions. It also includes our evaluation and visualization tools, which provide intuitive insights into dataset distributions, model behavior, system performance, and edge-case scenarios. Finally, our active learning loop which continuously selects and incorporates high-value data to improve model accuracy and robustness over time.

What you’ll be doing: 

• Build, lead and manage a high-performing team in the creation, maintenance, and optimization of our internal data, training, and evaluation pipelines specific to perception modelling team.
• Provide technical guidance, mentorship, and career development opportunities to team members
• Define team goals, priorities, and roadmap in alignment with company objectives
• Work closely with ML engineers to proactively identify and resolve technical challenges , while also contributing directly to the implementation of those improvements. This includes troubleshooting and optimizing machine learning workflows for maximum efficiency and performance, architecting and executing cutting-edge technologies/methodologies for accelerating ML development end-to-end from concept to deployment & maintenance.
• Lead design and code reviews, setting a high bar for quality and ensuring the adoption of best practices.
• Foster cross-functional collaboration ensuring alignment with broader organizational goals.

What We’re Looking for:

• 7+ years of professional software engineering experience, with at least 3+ years in a formal or informal leadership or mentorship role.
• BS or MS in Computer Science or a related technical field.
• A passion for remaining hands-on and a proven ability to contribute high-quality, production-level code to a shared codebase.
• Fluency in Python and familiarity with data processing libraries (e.g., NumPy, Pandas)
• Proven experience in backend development and leading the architecture of complex systems.
• A deep understanding of ML or Perception topics to strategically guide pipelines/tooling.
• Demonstrated experience in designing and delivering data visualization tools or internal engineering dashboards that drive insights and action.
• Expert knowledge of software engineering principles, with a track record of leading teams in software design, source control management, build processes, code reviews, and testing methods.
• Excellent communication and interpersonal skills, with the ability to articulate a technical vision and motivate a team

Bonus Points:

• Expertise in concurrency, parallel processing, and database systems to inform architectural decisions.
• Experience with distributed computing frameworks like K8s and Ray.
• A proven track record of developing and deploying Perception systems for autonomous vehicles or robotics.
• A Ph.D. in a relevant field, or equivalent industry experience that demonstrates a commitment to continuous learning.
• Proficiency in modern C++ (C++14/17 or later)
• Experience with building products with current LLMs and MCP protocols.
• Experience with GPU-accelerated data processing.
• Familiarity with Pytorch, TensorFlow or other modern ML development platform
• Experience in project management and a history of successfully delivering complex technical projects.

Job Description

We are seeking a Portfolio Manager (PM) to lead our top-level capital allocation for our crypto portfolio. You will not just manage a book; you will design and execute the "Ensemble Strategy" that dictates how capital flows between strategies and emerging venues. Your mission is to engineer a "Weather-Proof" portfolio that extracts idiosyncratic alpha from disparate markets while maintaining a strictly controlled risk profile.

Responsibilities

• Dynamic Asset Allocation: Oversee the deployment of capital across the multi-strategies
• Ensemble Optimisation: Build and maintain quantitative frameworks (Risk Parity, Mean-Variance, or Bayesian models) to determine optimal weights based on real-time volatility and correlation.
• Regime-Based Hedging: Utilize Prediction Markets and FX to hedge tail risks and macro shifts impacting the core Crypto portfolios.
• Risk Budgeting: Define and monitor VaR, Stress Tests, and Drawdown limits for individual strategy sleeves.
• Cross-Asset Research: Identify "Lead-Lag" relationships—e.g., how movement in the US Dollar (DXY) or Treasury yields impacts Crypto liquidity and Commodity pricing.

Requirements

• Experience: 5-10 years in a Senior Quantitative Allocation role at a fully systematic multi-strat hedge fund, prop shop, or family office.
• Multi-Asset Mastery: Proven track record managing risk across different systematic strategies. Experience in Prediction Markets (Polymarket, Kalshi) or Event-Driven Trading is a significant plus.
• The Stack: Expert proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow) and SQL/KDB+.
• Quantitative Depth: Mastery of portfolio construction mathematics, including covariance matrix estimation and L^2 regularization.
• Education: Advanced degree (Masters/PhD) in Mathematics, Physics, Computer Science, or Financial Engineering.

Who You Are

• The Aggregator: You don't just look for "good trades"; you look for how trades fit together to improve the fund's overall Information Ratio.
• The Risk-First Thinker: You understand that in a levered multi-asset environment, correlation is the silent killer.
• The Adaptable Architect: You are comfortable transitioning from the 24/7 volatility of Crypto to the structural nuances of the Commodities curve and the binary outcomes of Prediction Markets.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

We're looking for an experienced, detail-oriented Risk Associate to join our global team. This unique position is ideal for candidates with strong risk management skills, technical proficiency, and a readiness to contribute to the operational flow of global trading. You will be immersed in both risk management and post-trade operations, gaining broad exposure and playing a key part in the reliability and safety of our trading activity. 

This is a 4-day workweek role, with one weekend day (Saturday or Sunday) as part of your schedule. During onboarding and training, you’ll initially work a standard Monday–Friday week before transitioning to the 4-day schedule (Wednesday–Saturday or Sunday–Wednesday). Candidates must be comfortable with and prepared for this arrangement. Flexibility and reliability to support weekend trading are essential to success in this role. 

What You’ll Do: 

• Participate in daily and real-time risk monitoring across asset classes, helping to identify, assess, and address risk exposures related to trading activities 
• Use and develop your Python, SQL, and Excel skills to analyze large datasets, automate reporting, and support projects related to market risk (such as VaR, factor models, and portfolio analytics) 
• Work closely with trading, technology, treasury, clearing, and compliance teams around the globe. 
• Support daily clearing activities including trade reconciliation, resolving breaks, and ensuring smooth post-trade workflows across various products and venues 
• Suggest enhancements to workflows and documentation, actively build your expertise, and contribute to team projects focused on continuous improvement 
• Other duties as assigned or needed  

Skills You’ll Need: 

• 5+ years of relevant risk management, trading, or financial operations experience, ideally at a trading firm, hedge fund, asset manager, or investment bank 
• Hands-on familiarity with at least one major asset class (Equities, Treasuries, Futures, FX, or Options); willingness to expand your multi-asset risk expertise 
• Strong proficiency in Excel (using pivot tables, v-lookups, etc.); experience with Python (including libraries such as Pandas, NumPy, SciPy) and SQL is highly valued 
• Comfort with analyzing financial data (daily or intraday) and building tools for automation or reporting 
• Effective communicator, able to explain technical and financial concepts clearly to a variety of audiences 
• Self-motivated, proactive, and able to learn quickly on the job 
• Bachelor’s degree in a quantitative, technical, or business field 
• Reliable and predictable availability 

Bonus Points: 

• Experience with post-trade clearing systems or break resolution 
• Familiarity with risk modeling or analytics (such as VaR, factor models, or portfolio analysis) 
• Experience with Linux/Unix environments or in 24/7 trading operations 

What You'll Be Doing:

• Contribute to analytics proof-of-concepts (POCs) with strategic clients; test and validate custom use cases to establish clear paths to productization. 
• Collaborate with Product, Revenue, Marketing, Business Intelligence, and Data Science teams to design, test, and iterate on vertical-focused initiatives.
• Design and oversee experiments to validate hypotheses that drive measurable improvements in marketing performance.
• Troubleshoot technical issues (e.g. reporting discrepancies, data pipeline bugs) by analyzing datasets and working with technical teams to identify root issues and establish a path to resolution.
• Conduct market and competitive landscape research and gather data to identify and interpret current trends within the adtech/martech space, and make strategic recommendations in areas of opportunity that drive results and maximize the company’s growth objectives
• Provide hands-on support with ad-hoc and daily operational tasks which include (but are not limited to): Supporting the Revenue team in RFPs by recommending appropriate solutions and contributing to RFP responses 

About Grasshopper Asset Management

Grasshopper Asset Management, a subsidiary of Grasshopper, is a Licensed Fund Management Company (LFMC) regulated by the Monetary Authority of Singapore. With low-latency quantitative strategies, we generate diversified, stable and uncorrelated returns with an unbroken 18 year streak of profitability by maintaining multiple layers of algorithmic and manual risk controls.

About the Role:

We are seeking a highly motivated Quant Researcher to be part of a new team. You will help design, analyse and refine statistical systematic trading strategies in a fast-paced, data-driven environment.

This is a career-defining opportunity which will allow you to gain hands-on exposure to real trading systems, market microstructure, and quantitative research workflows whilst being one of the founding members of a new team.

As a key member of the Trading Team, you’ll:

• Research and improve existing systematic trading strategies across global equities, futures, commodities, or options
• Analyse large datasets of market microstructure, order book, and tick data to identify opportunities
• Develop, backtest, and optimise predictive models using modern statistical, econometric, and ML techniques
• Develop production-quality code to translate research insights into live trading systems
• Evaluate performance, quantitative risk management, and continuously refine existing strategies through data-driven iteration
• Contribute to the research infrastructure — simulation tools, data pipelines, and performance analytics

We’d love for you to have:

• 2-5 years of programming experience in Python (pandas, numpy, scipy), or statistical/machine learning tech-stack in another programming language that we can reuse/redirect you in Python/C++
• Solid understanding of data structures, algorithms, and software fundamentals; demonstrable ability to turn quant ideas into working codes
• Familiarity with predictive statistics, machine learning, econometrics or time-series analysis, along with an interest in scientific methods for truth finding/hypothesis testing
• Bilingual English and Mandarin (spoken and written) competency to liaise with external stakeholders
• Basic knowledge of networking and Linux environments is a plus
• Basic knowledge of producing reproducible research is a plus

Nice to haves:

• Balance of pragmatism with a desire to see things done right and ambition to see new teams succeed and profit-share
• Open-minded, able to propose ideas, and provide constructive feedback on others' ideas
• Ability to reason under uncertainty, form hypotheses, test them empirically, and accept failure/post mortem
• Strong attention to detail and curiosity about how markets work

What we offer:

• 21 days annual leave
• An opportunity to learn from experienced professionals, fostering mentorship opportunities and personal growth
• Comprehensive Insurance Package with extended coverage for dependents
• Well stocked pantry
• Annual Dental & Wellness budget
• Gym membership
• Employee bonus referrals

#gam

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.

About the Role:

Our Software Engineer internship is an intensive 10-week experience at Jump Trading's Sydney (or Singapore) office. You will be working with the team that helps the business make sense of data. You will get to sharpen your Python skills, through the mentorship provided by our Software Engineers, by researching, analyzing and building high-impact solutions and products that connect data better with the daily trading environment. At Jump, you will experience a healthy work-life balance, a casual environment, and a flat management structure. Our internship program is the primary way we identify top young talent, and it’s a proven path for earning full-time opportunities at Jump.

What you’ll do:

• You will be working with our experienced engineers and receive ongoing feedback and coaching from a dedicated mentor throughout the summer.
• You will use your Python programming skills to build high-impact products, helping Jump tackle exciting new initiatives and streamline every part of the trade cycle.
• You will also be part of the team that collects and analyzes datasets, to identify patterns and gain insights, to discover new and creative opportunities and solutions.
• You will take on projects working on production code and gain experience with our full-cycle process for development, testing, and release.
• Other duties as assigned or needed

Skills You’ll need:

• Strong academic foundation with a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a closely-related field
• Experience in using Python programming to investigate, make sense of, and improve on open-ended scenarios.
• Exposure to tools such as Pandas, NumPy, PyCharm
• Experience working with Linux/UNIX OS including advanced commands and shell scripts
• Understanding of networking concepts such as routing, multicast, ethernet
• Curiosity for all things trading and computer related, taking a rigorous, detail-oriented approach in all that you do.
• Desire to make an impact in a collaborative, cross-team environment with a positive can-do attitude
• Ability to operate independently and communicate clearly in the fast-paced environment of a daily live-trading operation
• Reliable and predictable availability

Also helpful, but not required:

• Past internship or job experience in a software engineering role

* No finance or economics study or work experience required