Our Software Engineers are focused on developing innovative platforms and systems that drive our trading and research efforts. While performance is a critical component of our software, we are focused on building a platform that is massively scalable, flexible, and forward-looking.  Our environment is highly collaborative, fostering innovation and growth.

As a C++ Software Engineer with Vatic, you will work directly with traders, researchers, and other developers to engineer cutting edge, ultra-low latency, high throughput trading systems. You will play a key role in taking projects from conception to deployment. You will drive innovation for the frameworks upon which our trading applications are based, as well as benchmarking and tuning critical software services to achieve optimum performance.

We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.  

If you possess the following, we would love to explore what is available for you with our team:

• Advanced proficiency with C/C++ systems development in a Linux environment
• Performance tuning and optimization of low latency software
• Demonstrable success building high performance software
• Experience building latency sensitive systems with a strong understanding of low-level systems and network development
• Strong understanding of hardware stack and hardware architecture from a latency perspective
• Strong understanding of network protocols
• Experience writing assembly code desirable
• Advanced knowledge of operating system internals and Linux kernel 
• Interest in x86 Assembly

As an AI Researcher at Vatic Labs in Abu Dhabi, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods to discover and capitalize on trading opportunities.

The nature of the problems we work on is challenging, hence we hire some of the world's top AI talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists has been recognized as leaders in their field. Our distinguished researchers have been widely cited for their publications in top-tier, peer-reviewed scientific journals. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative and open, sharing AI and trading expertise across team members and fostering innovation and growth.

If you possess all or most of the following, we would love to explore what is available for you with our team:

• Earned or will earn a Master’s or Ph.D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.
• Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks.
• Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary.
• Ability to generate impactful research in academic or professional pursuits.
• Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensorflow, etc.
• Interest and enthusiasm for learning about financial markets (previous experience not required).

At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:

• Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
• Comprehensive health benefits – Full health insurance coverage for employees and dependents.
• Daily meals provided – Enjoy free lunch at the office.

• Design, implement, and own end-to-end ETL/ELT pipelines (batch and streaming) from ingestion to feature delivery.
• Model financial datasets and define schemas, partitioning, indexing, and SLAs for analytical and real-time use cases.
• Operate and optimize OLTP/OLAP, search, and vector stores; tune performance, cost, and reliability.
• Build data quality checks, lineage, and observability; automate testing and deployment of pipelines.
• Collaborate with Quant/AI teams to productionize new data sources and features.

• Advanced SQL; strong experience with MySQL and PostgreSQL.
• Proficient with non-relational and vector databases: MongoDB, Elasticsearch, Chroma (or similar).
• Production experience with data layers on AWS / Azure / GCP (e.g., S3/GCS/ADLS, Redshift/BigQuery/Synapse, Glue/Dataproc/Data Factory).
• Have built ETL/ELT pipelines end-to-end (orchestrated, monitored, and supported in production).
• Familiar with financial data schemas and data modeling (tick/trade/quote, fundamentals, alternative data, vendor formats).

At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:

• Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
• Comprehensive health benefits – Full health insurance coverage for employees and dependents.
• Daily meals provided – Enjoy free lunch at the office.

Vatic Labs is a quantitative trading firm in New York and Abu Dhabi.  Our traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology.  

As an AI Research Intern at Vatic Labs, you will contribute to the research and development of fully autonomous trading agents with some of the brightest researchers, traders, and technologists in the world. As a part of your internship at Vatic Labs, you will explore vast amounts of market data, research different AI approaches, apply cutting edge machine learning algorithms and statistical approaches to this data to discover and capitalize on trading opportunities.

We are seeking researchers who have demonstrated the ability to generate impactful research in their academic pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful.

If you possess the following, we would love to explore what is available for you with our team:

• Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields
• Demonstrable experience coding in C++ or Python in a Linux environment
• Have experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression.
• In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methods
• Have innate curiosity for understanding why and how certain techniques work
• Have deep knowledge of time-series analysis
• Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred
• Contribution to AI and ML research communities, top tiered peer reviewed publications, publishing/presenting papers at conferences such as NIPS, ICML,  etc.
• Have an interest and enthusiasm for learning about financial markets (previous experience not required)

As a Quantitative Researcher at Vatic, you will research and develop innovative quantitative strategies. You’ll explore large-scale market data, applying novel machine learning and artificial intelligence methods to discover and capitalize on trading opportunities. The problems are challenging; we hire top talent, empower them with tools and mentorship, and foster a highly collaborative, open environment. Our researchers are recognized leaders whose work is widely cited in top-tier, peer-reviewed journals.

What You’ll Do

·      Formulate and test hypotheses on vast, multi-modal market datasets.
·      Build and evaluate ML/AI models (e.g., classification, clustering, regression) to identify alpha.
·      Design robust research pipelines and backtests; iterate from idea → signal → portfolio contribution.
·      Collaborate with engineers to productionize strategies and improve research tooling.Required Qualifications
·      PhD or Master’s (earned or in progress) in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields.
·      Relevant industry experience, or experience as a Postdoc/Faculty in a scientific lab.
·      Proven ability to analyze large datasets with rigorous ML/AI approaches.
·      Demonstrated ability to generate impactful research (academic or professional).
·      Deep knowledge of time-series analysis.
·      Advanced proficiency in a numerical language; Python (NumPy/SciPy stack) preferred.
·      Exposure to C++ or a related compiled language.
·      Interest in financial markets.Nice to Have
·      Experience with portfolio construction, risk modeling, and transaction cost analysis.
·      Familiarity with distributed computing frameworks and research workflow tooling.
·      Publications or open-source contributions in ML/stats or related areas.What We Value
·      First-principles thinking, high ownership, and a bias for rigorous experimentation.
·      Clear communication and collaboration across research and engineering.
·      Curiosity, humility, and continuous learning.

At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:

• Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
• Comprehensive health benefits – Full health insurance coverage for employees and dependents.
• Daily meals provided – Enjoy free lunch at the office.