The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing Intraday signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

Its Impact: As we pursue our goal of creating new alphas, we need researchers who will lead us there. WorldQuant’s unique investment platform is a leader amongst its peers and the methodology we employ is cutting edge. We desire people who will help us in our relentless pursuit to succeed.

What You’ll Bring:

• Bachelor's, Master's or PhD degree from a leading university in a quantitative or highly analytical field (e.g.Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering)
• Demonstrated ability to program in C/C++ and/or Python on a Unix/Linux platform
• Strong background in ML/AI/Statistics is a big plus
• Strong background in Data Science and experience working with large datasets is a big plus
• Relentless drive to pursue ideas from conception to implementation
• Intellectual curiosity and desire to develop genuine insights and domain expertise.
• Excellent problem solving abilities and judgment with a strong attention to detail
• Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Strong English language skills; ability to communicate complex concepts in simple terms

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

What You’ll Bring:

• Candidates holding or pursuing a Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred
• Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc.
• Knowledge of Linear Algebra, Statistics, Machine Learning
• Prior experience in Finance/Trading is a plus.
• Be competent in a programming language (Python, Unix)
• Possess good English language skills
• Have a strong interest in learning about worldwide financial markets
• Possess a relentless drive to succeed, supplemented by a strong work ethic

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.

Role Summary and Impact 

We're on a mission to democratize AI across our analytics team, and we need a trailblazing leader to helm this effort. As the Data Analytics and BI lead, you'll develop and execute a strategy to enable our analytics team members with AI capabilities, empowering them to drive business growth and deliver exceptional client value.

Skills and Experience 

What you will do:

• Develop AI enablement strategy: Create a comprehensive plan to upskill and reskill our analytics team members with AI capabilities, aligning with business goals and objectives.
• Design and deliver AI training programs: Collaborate with internal stakeholders to design and deliver training programs that cover AI fundamentals, machine learning, and data science.
• Develop AI-powered tools and platforms: Lead the development of AI-powered tools and platforms that augment our analytics team's capabilities, driving efficiency, accuracy, and innovation.
• Foster a culture of AI adoption: Collaborate with cross-functional teams to promote AI adoption, provide guidance on AI best practices, and ensure seamless integration with existing workflows.
• Stay ahead of AI trends and advancements: Participate in industry conferences, research papers, and forums to maintain expertise and identify opportunities for innovation.

Role requirements:

• Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Experience: 10+ years of experience in AI engineering, with 5+ years in a leadership role.
• Technical expertise: Strong background in AI, machine learning, and software engineering, with experience in languages such as Python, Java, or C++.
• Knowledge of cloud-based AI platforms: Experience with cloud-based AI platforms such as Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure Machine Learning.
• Leadership skills: Proven track record of leading high-performing teams, with excellent communication, mentoring, and project management skills.
• Business acumen: Understanding of business operations, market trends, and the media industry.
• Please note the team will be prioritizing applicants who are already based in Singapore for this role.

Nice to have:

• Experience with media analytics: Familiarity with media measurement, data analytics, and advertising technology.
• Certifications in AI or machine learning: Certifications such as Certified Data Scientist or Certified Machine Learning Engineer.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. 

While we appreciate all applications received, only those candidates selected for an interview will be contacted.  

#LI-Promoted

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.

Our AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and models with original research to generate signals from unstructured data.

What You’ll Do: 

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third.

Other duties as assigned or needed.

Skills You’ll Need:

• 5+ year track record of creating ML systems with real metrics & impact in industry and/or academia
• Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs)
• Solid development skills in Python and/or C++
• Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
• Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
• Ability to reason through quantitative problems and communicate effectively with trading researchers
• Reliable and predictable availability

Bonus Points

• Experience with HPC and distributed large model training
• Experience with GPU performance optimization (CUDA or ROCm)
• Experience with end-to-end model development, especially in LLMs
• Prior academic publications and/or contributions to open-source AI research
• Strong opinions on best practices in ML research, tooling, and/or infrastructure

Job Summary

As a Scientist / Senior Scientist in Protein Sciences, you will serve as the primary client-facing lead, combining deep expertise in biologics with strategic project management to ensure the success of collaborative programs. You will work closely with clients to assess their needs, translate scientific requirements into actionable plans, and oversee end-to-end project execution—aligning scientific teams, production, and stakeholders to deliver high-quality results on time and within scope.

Job Responsibilities:

Client-facing Project Management

• Serve as the primary point of contact for clients, ensuring effective communication, satisfaction, and alignment throughout the project lifecycle.
• Collaborate with clients to define project scope, objectives, deliverables, and timelines.
• Translate client requirements into actionable plans for scientific and production teams, aligning technical capabilities with business goals.
• Oversee project execution, proactively identify and mitigate risks, and ensure high-quality deliverables are completed on time and within scope.
• Provide regular progress updates to clients, addressing challenges and presenting solutions to maintain transparency and trust.

Cross-Functional Coordination:

• Collaborate with cross-functional and cross-cultural teams to support the development of biologics, with a focus on early-stage research and production scale-up.
• Partner with internal stakeholders (e.g., Quality Assurance, Process Development, and Manufacturing) to ensure alignment and efficiency in biologics production workflows.

Data Analysis & Reporting:

• Analyze and interpret experimental data, preparing detailed technical reports and presentations for both internal and external stakeholders.
• Contribute to the development of scientific publications, conference presentations, and webinars to showcase innovative findings and advancements.
• Complete other tasks assigned by superior(s).

Qualifications:

• Ph.D., or equivalent major in Biochemistry, Molecular Biology, Cell Biology, Structural Biology, Bioengineering, Chemical Engineering or a related field.
• Experience with high throughput and/or scale-up processes for biologics production.
• Strong willingness to work in client-facing project management, with excellent communication and interpersonal skills.
• Expertise in mammalian cell culture systems and recombinant gene or protein production.
• Familiarity with industry practices and regulatory requirements and quality standards in biologics production.
• Excellent teamwork able to lead and collaborate effectively with external stakeholders and internal teams.
• 2+ years in antibody production, research, process development or technical services.

ROLE

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

As a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. 

RESPONSIBILITIES 

• Onboarding novel datasets from a huge variety of sources into our platform
• Develop, test and deploy data pipelines, applications and services
• Re-shaping, aggregating, enhancing and creating features from datasets
• Engaging with vendors and internal stakeholders to understand characteristics of datasets
• Defining and automating qualitative data alerts and reports
• Partnering closely with investment teams to ensure their data requirements are met
• Perform preliminary analysis and research to be shared with investment teams

REQUIREMENTS 

• Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
• Strong programming skills in Python and SQL
• Experience working with AWS, Linux and Airflow preferred but not required
• Financial industry experience preferred but not required
• Strong organization, communication and interpersonal skills
• Attention to detail and a love of processes
• Strong oral and written communication skills
• Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
• Ability to multitask and prioritize assignments
• Commitment to the highest ethical standards

ROLE

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. 

RESPONSIBILITIES 

• Onboarding novel datasets from a huge variety of sources into our platform
• Building processes, tools and frameworks to ingest, clean and deliver datasets
• Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams
• Creation of in-house, value added, derived data products for consumption by investment teams
• Engaging with vendors and internal stakeholders to understand characteristics of datasets
• Partnering closely with investment teams to ensure their data requirements are met
• Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams

REQUIREMENTS 

• PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis
• Strong programming skills in Python and SQL
• Experience working with AWS, Linux and Airflow preferred but not required
• 5+ years of experience as a Data Scientist or similar role
• Experience working with large data sets including predictive modeling
• Financial industry experience preferred but not required
• Strong organization, communication and interpersonal skills
• Intellectual curiosity and enthusiasm for learning
• Attention to detail and a love of processes
• Strong oral and written communication skills
• Ability to multitask and prioritize assignments
• Commitment to the highest ethical standards

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.

Responsibilities

• Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
• Generate novel ideas for enhanced proprietary data products.
• Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
• Transform firm approved raw datasets into robust features for our systematic models.
• Build analytical tools to supplement our shared research framework.

Requirements

• BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or a comparable language) and working knowledge of SQL.
• Strong analytical and quantitative skills.
• Willingness to take ownership of their work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• High attention to detail.
• Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
• Commitment to the highest ethical standards.

Who We Are