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.

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

• Contribute directly to impactful improvements to HRT’s low-latency trading systems
• Analyze large datasets to understand how complex systems and networks behave in real-world conditions, such as exchange technology and performance of HRT systems
• Build Python-based tools and scripts to collect, clean, and visualize data in a clear and actionable way
• Design and run experiments to measure the impact of changes and identify opportunities for improvement
• Collaborate closely with HRT’s Algorithm Development, Trading Technology, and Business Development teams to discover, research, and implement improvements to HRT’s architecture
• Liaise with exchanges globally to better understand their technology and stay up to date on changes and improvements

Qualifications

• A technical degree or equivalent practical experience
• Experience with Python and Pandas 
• Proficiency in data analytics including statistics, data visualization, and working with large data sets
• Strong curiosity about how financial systems, networks, and cutting-edge technology work, and a willingness to learn new concepts quickly
• Ability to think analytically, ask insightful questions, and approach unfamiliar problems methodically
• Strong cross-functional communication skills and an interest in collaborating with others

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.

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.

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

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Options, Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are looking for an excellent Quantitative Developer to design, develop new and improve existing pricing and trade execution systems for our Asia Equity Options business. As a member of the desk, you will be integral in the interaction between research and trading teams. You will have the opportunity to work with cutting-edge low latency technologies and will be surrounded by senior technologists providing you with the best possible environment to succeed.

How you will make an impact:

• Building and improving high-availability, production systems in C++ and Python with resource and latency constraints
• Analyzing and discussing requirements from stakeholders
• Facilitating discussions on code implementation, testing, software architecture best practices
• Driving projects and leading new initiatives
• Actively engaging with others on the development team to resolve challenging design and coding issues
• Evaluating appropriate new technologies, tools, frameworks and software components for integration

What you bring to the team:

• 3+ years of hands-on experience in quantitative software development, preferably at a trading firm or systematic fund
• Strong production experience in Python and C++, including Boost, STL and data analysis workflows (pandas, polars, or similar)
• Strong experience working on highly distributed systems
• A background in multi-threaded programming and a strong understanding of hardware/software interaction
• Solid understanding of ML concepts as applied to systematic strategies, from research through production
• Prior experience working on options or derivative products is a plus
• Dedicated team player and a passionate problem solver with strong interpersonal skills
• Excellent verbal and written communication skills, with the ability to effectively interact and collaborate across research and engineering teams
• Meticulous attention to details and accuracy in work
• Ability to adapt in a fast-paced, collaborative, and results-oriented environment, and thrive under time-sensitive and high-pressure situations

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.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-PR1

Project Overview

This is a cutting-edge initiative to integrate Large Language Models (LLMs) with WorldQuant's proprietary strategy management tools. The project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for Portfolio Managers to more efficiently analyze, maintain, and enhance their trading strategies. This involves building foundational infrastructure, developing robust data pipelines for metrics and features, and creating a secure, user-centric interface with a strong focus on protecting intellectual property.

The Role:

We are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of this AI-driven platform. You will be responsible for designing, building, and maintaining critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform. This includes enhancing existing MCPs, such as our proprietary command-line interface for strategy data, developing new MCPs for internal data system integration, strategy analysis, and performance metrics, and contributing to the secure and effective use of LLMs.

Key Responsibilities

• Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python.
• Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.
• Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting.
• Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage.
• Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.
• Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses).
• Implement data parsing and manipulation logic for various formats (JSON, CSV).
• Contribute to the design and implementation of data pipelines for strategy metrics and features.
• Address and resolve bugs and issues in existing MCP tools and infrastructure.
• Participate in code reviews, and contribute to unit and integration testing efforts.
• Create and maintain technical documentation for developed components.
• Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.

What You’ll Bring:

Core Skills:

• Strong proficiency in Python programming.
• Proven experience in API development, integration, and consumption.
• Solid understanding of database interaction, data access patterns, and data modeling.
• Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).
• Understanding of or experience with prompt engineering principles for Large Language Models
• Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications

Domain-Specific Knowledge (Highly Beneficial):

• Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).
• Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus).

Technical Environment Familiarity (Helpful):

• Experience working in a Linux environment.
• Understanding of Command Line Interface (CLI) tools and development.
• Familiarity with version control systems (e.g., Git).

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong collaboration and communication skills, with the ability to work effectively in a team.
• High attention to detail and commitment to delivering high-quality software.
• Ability to learn quickly and adapt to new technologies and complex systems.

Education

• Bachelor's or Master's degree in Computer Science, Engineering

Who We're Looking For

As a Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.

You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.

With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.

This Role 

As a machine learning engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.

You'll:

• Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
• Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
• Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
• Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.
• Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.
• Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
• Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX.

As an early member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! 

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.

Who We're Looking For

As a Principal Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.

You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.

With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.

This Role 

As a Principal MLE, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.

You'll:

• Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
• Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
• Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
• Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.
• Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.
• Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
• Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX.

As a senior member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! 

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.

CSQ427R172

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. 

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap 

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI
• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets
• We require fluency in English and have a preference for candidates who also speak Mandarin

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 

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. 

At Jump Trading, solving hard problems with cutting edge technology is our business. Jump relies heavily on open source solutions in our large and distributed global infrastructure that includes several large high performance computing environments, a large low latency trading infrastructure and significant supporting infrastructure. We are looking for a Database Engineer to add to our Singapore offices.

At Jump, database engineers "own" many parts of the stack, including embedding with trading and other teams.The ideal candidate will be passionate about open source database technology, with experience in more than one (for example MySQL, PostgreSQL, ClickHouse, Prometheus, Kafka, …).

The candidate will have a good ability to automate (using a language such as Python or Go) and understand the full database system when deployed on Linux. Experience managing ETL pipelines and managing petabyte scale data warehouses is valuable, but not mandatory.

What you’ll do:

• Work on and lead major projects involving a mix of database technology.
• Some example projects in flight are listed above. In general these projects span database engineering (e.g. deploying, scaling or managing database infrastructure) and working with other teams to solve business problems (for example schema design, data architecture planning, technology selection)
• Be part of a global “on-call” schedule for database technology.
• Develop automation to minimize operational toil, in accordance with SRE principles.

Skills you’ll need:

• Significant engineering experience working with open source database, solving challenging business problems with cutting edge technology.
• Comfort using a programming language for automation tasks (Python, Go, etc.)
• Comfort using the Linux shell to understand and troubleshoot an overall system
• Proficiency with SQL

Bonus Points:

• Experience working on petabyte scale data warehouses and distributed database systems
• Industry experience in finance/trading, particularly supporting post-trade processing systems
• Python, pandas, etc.
• DevOps / SRE mindset
• Kafka experience
• Database Replication
• ETL pipeline experience
• Jenkins
• Knowledge of Splunk
• Proficiency with AI coding tools

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

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 incentivising 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 organisations and universities to solve problems.

The global security team is a team of technologists that develop and contribute across the full security stack. You will be (or will become) a "T-shaped" individual with enormous potential to further your career in the security domain. The ideal candidate will be passionate about security operations and automation, with experience in more than one (Network security, cloud security, application security). The candidate will have a good ability to automate (using a language such as Python or Go) and understand risk-based approach to security.

What You'll Do:

- Automate processes and procedures to create a highly resilient security infrastructure.

- Implement and make recommendations based on threat assessments at the network, server, and endpoint levels.

- Involved in Threat, Vulnerability Management and Attack Surface reduction exercises.

- Assist in performing investigations of anomalous activity and creating actionable reports to senior management.

- Analyze data sets and produce reports using basic tools (e.g. SQL, Python, Pandas).

- Work highly independently, with multiple stakeholders outside of the formal management structure.

- Other duties as assigned or needed.

Skills You’ll Need:

- Comfort using a programming language for automation tasks (Python, Go, etc).

- Comfort using the Linux shell to understand and troubleshoot an overall system.

- Familiarity troubleshooting network issues in the stack.

- Understand DNS, SSL/ TLS, and how traffic on IP networks establishes end-to-end security and trust.

- Understand principles around secure Identity Management and Authentication.

- Passionate about high-quality of work and continuous improvement.

- Reliable and predictable availability.

Useful (but certainly not mandatory) skills:

- Relevant and well-regarded certifications in cloud computing such as CKA (Certified Kubernetes Administrator), AWS Professional or          Specialty levels, Google Professional level.

- Advanced security accreditation such as CISSP, OSCP, CASP, Security+.

We are currently looking for a lead instructor for our part-time (24 week) Data Analytics Bootcamp. 

We are looking for instructors:

Our Data Analytics Bootcamp is a life-changing educational experience where learners gain the skills and mindsets to take on new careers as data analysts. We are looking for a lead instructor with experience cleaning, analyzing, and presenting data to stakeholders and clients.

This role is based in Singapore and is delivered in a hybrid (on campus and online) format, requiring instructors to reside in Singapore and have an eligible work permit or be a Singapore citizen or permanent resident. (We are not currently sponsoring employees.)

Why teach our Data Analytics Bootcamp?

If you are looking to make a life-changing impact by sharing your love for data analytics with the next generation of analysts, we’d love for you to consider joining our team. We deliver more than just skills training, and are looking for teachers who share our vision for facilitating and mentoring a community of lifelong learners pursuing work that they love. As a teacher, you will join us to:

• Work closely with the instructional team (co-lead instructors, instructional associates, instructor manager) to guide students through a rigorous, transformational journey.
• Become a better leader, coach, and mentor as you learn from students, experienced instructors, and the larger General Assembly community.
• Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum; motivate students when they deal with classroom and personal challenges that become barriers to learning.
• Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
• Facilitate a safe, supportive, and energetic community that welcomes the various  abilities, needs and learning styles of your students.

What do we teach?

Through a combination of live instruction, supported study with independent work, unit projects (individual and team-based) and 1:1 support, we teach our learners how to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, and PowerBI as the primary tools for analysis as well as provide learners with a foundation in Python programming to build predictive machine learning models.

The Data Analytics Bootcamp consists of nine units:

•  Unit 1: Responsible data analytics
• Unit 2: Statistics and mathematics for data analysts
• Unit 3: Data analysis and interpretation with Excel and Power BI
• Unit 4: Data acquisition and cleaning with SQL
• Unit 5: Data analysis and communication with Tableau 
• Unit 6: Data analysis with Python
• Unit 7: Data in the organization
• Unit 8: Capstone projects
• Unit 9: Career planning

Learning is assessed through four major projects (two independent projects, a team/group data sprint, and final course capstone) as well as nine labs. About 20% of the overall class time is dedicated to supporting learners’ project work.

Skills and Qualifications

• You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
• You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
• You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python Programming. 
• You have  4+  years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.
• You are proficient in data analysis using Python's pandas library, with a solid understanding of data manipulation, cleaning, and aggregation.
• You are familiar with machine learning concepts and practical experience with supervised and unsupervised learning techniques.
• You have experience with web scraping tools and techniques (e.g., BeautifulSoup)
• You have experience mentoring, coaching, or training others in a professional or educational setting.
• Priority will be given to applicants with the Advanced Certificate in Learning and Performance (ACLP) /Advanced Certificate in Training and Assessment (ACTA), awarded by the Institute of Adult Learning Singapore.
• This role is based in Singapore and you must be authorized to work in Singapore. Please ensure you have the right to work in Singapore before applying.

Responsibilities & Duties

• Spend 17 hours a week teaching students (14 hours) and hosting office hours (3 hours); classes are on Tuesday and Thursday evenings (7-10 PM, online) and Saturdays (9AM-6PM, on campus/online on alternate weeks; weekly student office hours are on Wednesday evenings (7-10PM, by appointment). We observe all Singapore public holidays.
• Commit a few hours per week preparing lessons and materials, leveraging existing GA curriculum content.
• Work closely with co-instructors and/or teaching assistants to provide students with meaningful and prompt feedback on their progress, including assessment rubrics.
• Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
• Guide students through development of a stellar capstone project that will showcase their abilities to hiring managers.
• Facilitate a dynamic, collaborative, and positive classroom community.

• Inspire students to persevere through the challenges of learning a new skill set, as well as dealing with learning barriers along the way.

We are currently looking for a lead instructor for our full-time (12 week) Data Analytics Bootcamp. 

We are looking for instructors:

Our Data Analytics Bootcamp is a life-changing educational experience where our students learn the skills and mindsets to take on new careers as data analysts. We are looking for a lead instructor with experience cleaning, analyzing, and presenting data to stakeholders and clients.

This role is based in Singapore and is delivered in a hybrid (on campus and online) format, requiring instructors to reside in Singapore and have an eligible work permit or be a Singapore citizen or permanent resident. (We are not currently sponsoring employees.)

Why teach our Data Analytics Bootcamp?

If you are looking to make a life-changing impact by sharing your love for data analytics with the next generation of analysts, we’d love for you to consider joining our team. We deliver more than just skills training, and are looking for teachers who share our vision for facilitating and mentoring a community of lifelong learners pursuing work that they love. As a teacher, you will join us to:

• Work closely with the instructional team (co-lead instructors, instructional associates, instructor manager) to guide students through a rigorous, transformational journey.
• Become a better leader, coach, and mentor as you learn from students, experienced instructors, and the larger General Assembly community.
• Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum; motivate students when they deal with classroom and personal challenges that become barriers to learning.
• Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
• Facilitate a safe, supportive, and energetic community that welcomes the various  abilities, needs and learning styles of your students.

What do we teach?

Through a combination of live instruction, supported study with independent work, unit projects (individual and team-based) and 1:1 support, we teach our learners how to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, and PowerBI as the primary tools for analysis as well as provide learners with a foundation in Python programming to build predictive machine learning models.

The Data Analytics Bootcamp consists of nine units:

•  Unit 1: Responsible data analytics
• Unit 2: Statistics and mathematics for data analysts
• Unit 3: Data analysis and interpretation with Excel and Power BI
• Unit 4: Data acquisition and cleaning with SQL
• Unit 5: Data analysis and communication with Tableau 
• Unit 6: Data analysis with Python
• Unit 7: Data in the organization
• Unit 8: Capstone projects
• Unit 9: Career planning

Learning is assessed through four major projects (two independent projects, a team/group data sprint, and final course capstone) as well as nine labs. About 20% of the overall class time is dedicated to supporting learners’ project work.

Skills & Qualifications

• You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
• You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
• You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python Programming. 
• You have 4+ years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.
• You are proficient in data analysis using Python's pandas library, with a solid understanding of data manipulation, cleaning, and aggregation.
• You are familiar with machine learning concepts and practical experience with supervised and unsupervised learning techniques.
• You have experience with web scraping tools and techniques (e.g., BeautifulSoup)
• You have experience mentoring, coaching, or training others in a professional or educational setting.
• Priority will be given to applicants with the Advanced Certificate in Learning and Performance (ACLP) /Advanced Certificate in Training and Assessment (ACTA), awarded by the Institute of Adult Learning Singapore.
• This role is based in Singapore and you must be authorized to work in Singapore. Please ensure you have the right to work in Singapore before applying.

Responsibilities & Duties

• Teach 40 hours per week; currently classes on Monday through Thursday are on campus, with Fridays remote; we observe all public holidays in Singapore.
• Commit a few hours per week preparing lessons and materials, leveraging existing GA curriculum content.
• Work closely with co-instructors and/or teaching assistants to provide students with meaningful and prompt feedback on their progress, including assessment rubrics.
• Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
• Guide students through development of a stellar capstone project that will showcase their abilities to hiring managers.
• Facilitate a dynamic, collaborative, and positive classroom community.
• Inspire students to persevere through the challenges of learning a new skill set, as well as dealing with learning barriers along the way.