A Career with Point72’s Technology Team

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. 

What you’ll do

As a quantitative analyst on our Treasury Analytics team, you will be at the forefront of the firm’s initiative to optimize and improve financing and capital utilization by delivering best-in-class datasets, models, and processes across asset types. The team is highly collaborative and sits within the broader Technology platform. Specifically, you will:

• Develop, implement, and maintain quantitative models for our Treasury team, including models for cash management, liquidity risk, and foreign exchange risk
• Partner with internal teams to impact the firm’s financing capabilities by delivering high-quality calculations, contributing to our Treasury analytics platform, and curating data for wider audiences
• Develop an expertise across our prime brokerage, financing models, and other firm models by engaging with partners and contributing quantitative solutions to a shared repository
• Create and implement solutions that have maximum impact
• Design, socialize, and broaden Treasury’s data platform
• Model and optimize margin across a variety of products
• Build tools to explore complex datasets and identify day-over-day changes, driven by markets movements or changes in firm positioning
• Exchange ideas and best practices with business and technology colleagues
• Own the calculation of key treasury metrics, providing insights, advice, and quantitative leadership where required

What’s required

• Strong academic achievement in a quantitative field with a background in finance or a demonstrated interest in understanding the complexity of financial markets
• Experience contributing to a shared repository, such as Git
• Proficiency in Python and quantitative libraries such as Pandas, PyTorch and NumPy
• Ability to communicate highly complex information in a variety of formats
• Strong work ethic and commitment to carrying solutions from conception to deployment
• Commitment to the highest ethical standards 

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here

Location: Poland

We Are:
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel.

You Will:
As a Senior Technical Researcher/Engineer within the AdTech Technical Research Team, you'll play a pivotal role in exploring and understanding the latest technologies in the ad tech domain. You'll be responsible for conducting in-depth research, experimenting with new technologies, and collaborating with cross-functional teams to assess their potential for integration into our systems. Your role will involve a blend of programming, research, and analytical skills to evaluate the effectiveness and feasibility of various ad tech solutions.

Desired Experience:

• 5+ years of experience as researcher or engineer.
• Strong technical proficiency: programming skills and the ability to understand large and complex systems and architectures.
• Openness and willingness to experiment & learn: readiness to take on new challenges, explore new technologies, and continuously expand knowledge in the ad tech domain.
• Independence & proactive attitude: ability to take initiative, make decisions, and act without excessive supervision while maintaining a high standard.
• Goal-oriented mindset: focus on achieving specific project goals and adaptability in a dynamic environment.
• Collaboration & communication: ability to cooperate effectively with teammates and other teams, clearly sharing knowledge and cooperating with external organizations (e.g. major browser vendors, W3C, GitHub discussions).
• Ability to build Proof of Concepts (PoCs): creating prototypes and experimental solutions to evaluate effectiveness and utility.
  
  

Selected Technologies & Projects:

• Python, Java, Scala, TypeScript/JavaScript
• PyTorch, NumPy, Pandas
• Jupyter Notebooks
• BigQuery, GCP
• Browser Engines
• Assessing new privacy mechanisms (e.g. Privacy Sandbox APIs) by building PoCs, testing, and suggesting improvements (via GitHub issues or meetings). The goal is to evaluate their feasibility, ensure compliance, and enhance user privacy.
• Exploring solutions for Android and iOS, including creating prototypes to improve performance on mobile platforms. This requires close collaboration with other teams and leveraging ML opportunities.
• Many more — including your own ideas!

We Offer:

• Technology: access to the latest technologies and real opportunity to use of them in a large-scale and highly dynamic projects; extensive and rich datasets
• Impact: your contribution will directly influence the company's business results and outcomes globally, while also giving you the chance to mentor less experienced colleagues in the team
• Wellbeing: extremely flexible conditions – you act when it is convenient for you and devote as much time as you can; you can operate fully remotely
• Culture: be part of a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings on a daily basis, no BS environment
• Contract Types: B2B

Apply now! 

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Location: Poland

We Are:

RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. As an ML Researcher, you will be responsible for its development.

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

You Will:

• Designing and implementing models, most often of deep neural networks, used to predict the behavior and preferences of Internet users
• Analysis of the latest works in the field of Machine Learning
• Conducting and analyzing A/B tests of new solutions
• Developing and testing new approaches to modeling key issues, such as bidding in first-price auctions

Desired Experience:

• 4+ years of hands-on experience with Machine Learning / Data Science 
• Interest and willingness to constantly develop in the area of ​​Machine Learning
• Knowledge of statistics and probability
• Proficiency in programming

Selected technologies used:

• Python, Java, Scala
• PyTorch, NumPy, Pandas
• Jupyter Notebooks

Additional advantages will be:

• Experience in the ML industry
• Experience in designing recommendation systems
• Practical knowledge of the tools we use

Sample topics:

• Implementation and analysis of new model architectures, such as convolutional networks, transformer
• Analyze the difference in the distribution of training and production data. Estimating the scale of the problem, identifying the best solution, analysis, implementation, deployment
• Experiments with the use of transfer learning
• A completely new approach to generating product recommendations that is free from proxy targets and uses contrastive loss function

We Offer:

• Cooperate in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills
• Extremely flexible cooperation conditions - you cooperate when it is convenient for you and devote as much time as you can; you can cooperate fully remotely
• Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project;
• Possibility of using the possessed knowledge and competences in practical applications - while optimizing algorithms supporting hundreds of millions of Internet users and monthly buyers of billions of advertising views in the RTB model, based on extensive data sets
• The effects of your cooperate immediately visible in the company's business results
• Possibility to publish your results
• Cooperation based on B2B contract or Contract of Mandate 
• You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

Apply now!

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Web Scraping Engineer, Mi-Platform

A Career with Point72’s Market Intelligence Team
Point72’s Market Intelligence team is responsible for developing proprietary research products, providing data and research management services for investment teams, to support their pursuit of superior, risk-adjusted returns. We leverage innovative alternative data sources, advanced data analytics and technologies, as well as deep fundamental research to create high-quality compliant and differentiated research. Backed by the full resources of Point72, our sector-aligned teams collaborate to solve important research problems in partnership with the Firm’s investment and compliance professionals. 

What you’ll do
As a Data Engineer focused on Web Scraping, you will be building solutions for processing big and unstructured data sets at Point72. You will be responsible for extracting and ingesting data from websites, using compliance-approved web crawling tools. In this role you will:

• Own the creation process of these tools, services, and workflows to improve crawl/scrape analysis, reports and data management
• Be responsible for testing the data and the scrape to ensure accuracy, quality, and compliance
• Own the process to identify and rectify any issues with breaks as well as scale scrapes as needed

What’s required

• Solid Python and SQL knowledge
• Experience in running automated programs at scale
• Working experience with cloud-based technologies
• Familiarity with Linux/UNIX, HTTP, HTML, JavaScript and Networking,
• Familiarity with common techniques and tools for crawling, extracting and processing data (e.g., Requests BeautifulSoup, Scrapy, Pandas, Selenium, Spark, etc.)
• Working knowledge of version control systems and open source practices
• Great analytical and problem-solving skills
• Great communication skills (written and spoken in English)
• Bachelor's Degree in Computer Science or a related field or the equivalent demonstrated experience
• Experience with extracting text from PDFs, images, applications, etc. is a plus
• Experience with system monitoring / administration tools is a plus
• Experience with working with applications designed to display archived web content is a plus
• Commitment to the highest ethical standards
• Prior experience with analyzing big data sets

We take care of our people
We invest in our people, their careers, health, and well-being. We want you to concentrate on the success and leave the rest to us. When you work here, we provide:

• Sports card
• Private life insurance
• Private medical and dental care, with vision allowance
• Private pension scheme
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Business travel accident insurance
• Employee assistance program
• Educational assistance reimbursement

About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. Our Warsaw office gives us access to world-class talent with a reputation for excellence and innovation. We’re looking to build an office of subject-matter experts whose fresh perspectives will help evolve our infrastructure and advance the capabilities of our teams. Learn more at Point72.com/Warsaw.

Your key skills and capabilities: 

• Gathering and documenting business and project requirements 

• Managing stakeholders of differing levels 

• Analysing and profiling large and complex datasets 

• Managing a team backlog using tools like Jira or Azure DevOps 

• Agile ways of working 

• Familiar with Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems 

• Creating conceptual, logical and physical data models  

• Creating mapping specifications for data migrations 

• Coordinating User Acceptance Testing (UAT) with business stakeholders 

• Excellent SQL skills 

• Knowledge of python (pandas) 

• Experience with Cloud platforms 

• Creating data dashboards using Tableau, PowerBI or Qlik and story telling 

We expect you to work closely with business to understand their current data problems, pain points and to know how to analyse and cleanse their data. Also, we expect you to design data storage solutions and be a good communicator with your technical team.