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Mercor is hiring experienced Python Engineers to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains. This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. Key Responsibilities - Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories - Ensure benchmark tasks include comprehensive unit and integration tests for solution verification - Maintain consistency and scalability of benchmark task distribution - Provide structured feedback on solution quality and clarity - Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications - 3–10 years of experience as a backend software engineer, ML engineer, or applied data scientist - Degree in Software Engineering, Computer Science, or a related field - Strong proficiency in Python - Experience with debugging, testing, and validating code - Comfortable with technical writing and attention to detail Project Timeline - Start Date: Immediate - Duration: 1 month - Commitment: Part-time (15–20 hours/week) - Schedule: Fully remote and asynchronous – flexible working hours Compensation & Contract - $80 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete) - Median average pay inclusive of bonuses is $200/hr - Independent contractor - Daily payment via Stripe Connect Application & Onboarding Process - Upload your resume - AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role - Brief assessment testing real-world coding ability, technical depth, and debugging approach - Follow-up communication within a few days with next steps and onboarding details About Mercor Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI. Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!

Mercor is seeking Material Science PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Material Science from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Semiconductor Materials, Molecular Modeling - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term, fully remote engagement helps shape the future of developer-assisting AI systems. Key Responsibilities • Review long-form transcripts between users and AI coding assistants • Analyze the AI’s logic, execution, and stated actions in detail • Score each transcript using a 10-point rubric across multiple criteria • Optionally write brief justifications citing examples from the dialogue • Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: • Senior or Staff Engineers with deep code review experience and execution insight • QA Engineers with strong verification and consistency-checking habits • Technical Writers or Documentation Specialists skilled at comparing instructions vs. implementation Also a strong fit: • Backend or Full-Stack Developers comfortable with function calls, APIs, and test workflows • DevOps or SRE professionals familiar with tool orchestration and system behavior analysis Languages and Tools: • Proficiency in Python is helpful (most transcripts are Python-based) • Familiarity with other languages like JavaScript, TypeScript, Java, C++, Go, Ruby, Rust, or Bash is a plus • Comfort with Git workflows, testing frameworks, and debugging tools is valuable More About the Opportunity • Remote and asynchronous — complete tasks on your own schedule • Must complete each transcript batch within 5 hours of starting (unlimited tasks to be done) • Flexible, task-based engagement with potential for recurring batches Compensation & Contract Terms • Competitive hourly rates based on geography and experience • Contractors will be classified as independent service providers • Payments issued weekly via Stripe Connect Application Process • Submit your resume to begin • If selected, you’ll receive rubric documentation and access to the evaluation platform • Most applicants hear back within a few business days About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey • Thousands of professionals across law, engineering, and research contribute to frontier AI projects via Mercor

Mercor is seeking Physics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Physics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Condensed Matter Physics, Optics, Quantum Information/Computing, Computational Physics, Astrophysics, Particle Physics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Fundamental Physics: Theoretical Mechanics, Theoretical Optics, Statistical Mechanics, Thermodynamics, Fluid Physics, Optics and Acoustics Modern & Applied Physics: Electromagnetism and Photonics, Atomic and Molecular Physics, Solid State Physics, Semiconductor Physics, Biophysics Space and Cosmological Sciences: Astrophysics and Cosmology Engineering Disciplines: Electrical Engineering, Control Theory and Control Engineering, Mechanical Engineering * * * ### Key Responsibilities - Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. - Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics. - Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. - Benchmark model performance on advanced physics and applied engineering problems. - Work independently and asynchronously using proprietary evaluation tools. * * * ### Requirements - PhD (candidate/recipient) or Masters in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. - Strong command of graduate-level physics and mathematical reasoning. - Excellent written communication and analytical abilities. - Ability to work independently in a remote, asynchronous setting. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (20 hours/week) - Remote and asynchronous work environment - Flexible schedule to accommodate global contributors * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, depending on expertise and domain depth - Weekly payments through Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Biology PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Biology from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Ecology, Biochemistry, or Genetics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. * * * ## What You’ll Do - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation strategies, experiment frameworks, and analytical methodologies - Develop automated data workflows, feature pipelines, and reproducible research environments - Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams - Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams - Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale - Present findings through well-structured dashboards, reports, and documentation * * * ## Qualifications - Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance - 3–5+ years of experience in data science or applied analytics - Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) - Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment - Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis - Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools - Excellent communication skills with the ability to clearly present analytical insights * * * ## Nice to Have - Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) - Experience in an AI lab, fintech, product analytics, or ML-focused organization - Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data - Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) - Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation analytical systems. - Work on high-impact data science challenges while experimenting with advanced modeling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world, production analytics. - Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research.

1\. Role Overview Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks. 2\. Key Responsibilities • Design biologically grounded problems with a single correct answer and ≥20 plausible distractors • Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI) • Subsample and anonymize datasets to prevent metadata-based inference • Independently validate solutions through custom analysis pipelines and visualizations • Operate within technical constraints (e.g., file size, task time limits) 3\. Ideal Qualifications • Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec) • Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM) • Comfortable coding in Python, R, or bash, and working in Jupyter notebooks • Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects) • Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics 4\. More About the Opportunity • Remote and asynchronous — set your own schedule • Expected commitment: 15–20 hours/week • Project duration: ~1 month • Potential for additional projects based on performance and interest 5\. Compensation & Contract Terms • $65–85/hour depending on experience and geography • Paid weekly via Stripe Connect • Structured as a freelance contract — independent contractor status 6\. Application Process • Submit your resume to get started • Qualified applicants will complete a short form assessing technical experience • Follow-up steps may include a sample task or review call • Responses typically within 3–5 business days 7\. About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

1\. Role OverviewMercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2\. Key Responsibilities ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders 3\. Ideal Qualifications ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights 4\. More About the Opportunity ● Remote ● Expected commitment: min 30 hours/week ● Project duration: ~6 weeks 5\. Compensation & Contract Terms ● $75–100/hour ● Paid weekly via Stripe Connect ● You’ll be classified as an independent contractor 6\. Application Process ● Submit your resume followed by domain expertise interview and short form 7.About Mercor ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Mercor is seeking Chemistry PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Chemistry from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Quantum Chemistry or Computational Chemistry - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role Overview Mercor is collaborating with a leading AI research organization seeking exceptional early-career software engineers from the United States, United Kingdom, Canada, Australia, and New Zealand. This short-term engagement offers a unique opportunity to contribute to the development and optimization of advanced AI systems. Participants will work on high-impact engineering projects requiring strong technical execution, precision, and adaptability. This is a 2-week project-based contract ideal for independent contributors with strong software engineering fundamentals. ### Key Responsibilities - Evaluate and annotate code snippets, scripts, and software tasks for accuracy and quality. - Identify logical errors, inefficiencies, and improvements in code samples. - Provide structured feedback on programming logic, implementation, and clarity. - Work independently to meet daily annotation and review goals. - Maintain consistency and precision when applying labeling guidelines. ### Ideal Qualifications - Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related technical field. - Proficiency in more than one major programming language (Python, C++, Go, or Java). - Strong understanding of algorithms, data structures, debugging, and code analysis. - Exceptional analytical, communication, and problem-solving skills. - Prior experience working on structured software engineering evaluations or benchmarks is a plus. - Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand. ### More About the Opportunity - Fully remote and asynchronous — set your own schedule. - Expected commitment: 20–30 hours per week. - Project duration: approximately 2 weeks. - Short-term, high-intensity contract supporting cutting-edge AI development. ### Compensation & Contract Terms - Payments processed weekly via Stripe Connect. - Engagement structured as an independent contractor relationship. ### Application Process - Submit your resume and/or GitHub portfolio to begin. - Complete a required technical assessment as part of the selection process. - Applicants will be notified of next steps within 5–7 business days after submission. ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across engineering, research, law, and creative fields collaborate through Mercor on frontier projects shaping the next era of AI.

Role Overview Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. * * * You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. - Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. - Demonstrate excellent verbal and written communication skills. - Have strong attention to details. * * * ### More About the Opportunity - Commitment: 20–40 hours per week, with potential to scale up to 80 hours. - Structure: Fully remote and asynchronous - set your own schedule. - Duration: Minimum 1 months, with possible extension based on project scope and performance. - Start Date: Early September, with applications reviewed on a rolling basis. * * * ### Compensation & Contract Terms - Classified as an independent contractor for Mercor. - Hourly payments for services rendered, processed weekly via Stripe Connect. - Flexible terms based on location and expertise level. * * * ### Application Process - Submit your resume or project portfolio to get started. - Complete a brief form outlining your technical background and agent usage experience. - Applications are reviewed continuously, and selected professionals will be contacted with next steps. * * * ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI research labs and organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of technical professionals partner with Mercor to contribute to frontier AI projects shaping the next era of intelligent systems. * * *

Mercor is seeking software engineers to support one of the world’s leading AI labs in building robust, high-performance systems that serve the needs of next-generation machine learning applications. This role involves using coding agents to perform a variety of realistic coding tasks on real world codebases. * * * You are good fit if you: - Have extensive experience using coding agents as part of your software engineering workflow (codex, claude code, etc.). - Fluent in one of the following languages: Rust, JavaScript/TypeScript, Python. - Contributions to open source projects. - Extensive work on robust personal projects that are shared publicly on GitHub. - Hold a Computer Science degree from a prestigious university in the U.S., Canada, U.K., Australia or New Zealand. - Currently located in the U.S., Canada, U.K., Australia or New Zealand. - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. * * * Role Highlights - Flexible workload: 10–20 hours per week, with potential to increase to 40 hours. - Fully remote and asynchronous—work on your own schedule. - Minimum duration: 2 weeks, with potential for extension. * * * Role Start Date - This role will begin early October with applications reviewed on a rolling basis. * * * Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect * * * About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today and redefine digital creativity alongside groundbreaking AI technologies!

Mercor is seeking Mathematics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Mathematics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Numerical linear Algebra, Computational Mechanics, or Computational Finance - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1) Role Overview Mercor is seeking experienced PyTorch experts who excel in extending and customizing the framework at the operator level. Ideal contributors are those who deeply understand PyTorch’s dispatch system, ATen, autograd mechanics, and C++ extension interfaces. These contractors bridge research concepts and high-performance implementation, producing clear, maintainable operator definitions that integrate seamlessly into existing codebases. ### 2) Key Responsibilities - Design and implement new PyTorch operators and tensor functions in C++/ATen. - Build and validate Python bindings with correct gradient propagation and test coverage. - Create “golden” reference implementations in eager mode for correctness validation. - Collaborate asynchronously with CUDA or systems engineers who handle low-level kernel optimization. - Profile, benchmark, and report performance trends at the operator and graph level. - Document assumptions, APIs, and performance metrics for reproducibility. ### 3) Ideal Qualifications - Deep understanding of PyTorch internals (TensorIterator, dispatcher, autograd engine). - Strong background in C++17+ and template metaprogramming within PyTorch’s ecosystem. - Experience authoring or extending PyTorch custom ops or backends. - Working knowledge of performance profiling tools and GPU/CPU interplay. - Strong written communication and ability to deliver well-documented, self-contained modules. - Prior open-source contributions to PyTorch, TorchInductor, Triton, or related projects are a plus. ### 4) More About the Opportunity - Ideal for contractors who enjoy building clean, high-performance abstractions in deep learning frameworks. - Work is asynchronous, flexible, and outcome-oriented. - Collaborate with CUDA optimization specialists to integrate and validate kernels. - Projects may involve primitives used in state-of-the-art AI models and benchmarks. ### 5) Compensation & Contract Terms - Typical range: $100–$200/hour, depending on experience and project scope. - Structured as an independent contractor engagement, not employment. - Payments for services rendered on a milestone or weekly invoice cadence. - Confidentiality and IP assignment agreements may apply. ### 6) Application Process - Share a concise summary of your experience with PyTorch internals and systems-level programming. - Include links to open-source work, GitHub PRs, or sample operator implementations. - Provide hourly rate, availability, and relevant technical background. - Selected experts may complete a short, paid pilot module to demonstrate fit. ### 7) About Mercor - Mercor connects top-tier independent professionals with leading AI labs and research organizations. - Contractors retain full control over their work, schedule, and deliverables. - Our engagements focus on high-skill, high-autonomy technical work across AI systems and optimization

Role OverviewMercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables. Key Responsibilities - Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. - Validate record counts against control totals and identify missing or inconsistent fields. - Reconcile in-force movements between periods, including new issues and terminations. - Identify and flag policies with anomalous data for manual review. - Map product codes to actuarial model inputs and document data assumptions. - Deliver a clean, formatted dataset suitable for actuarial projection software. Ideal Qualifications - 5+ years of experience in actuarial data processing or valuation support. - Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400). - Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus. - Strong attention to detail and understanding of actuarial data structures. - Ability to clearly document data anomalies and reconciliation logic. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $75–100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you’re an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we’d love to meet you. ## What to Expect As a Machine Learning Engineer, you’ll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. - Schedule: Remote and asynchronous—set your own hours - Commitment: ~20 hours/week - Duration: Through December 22nd, with potential extension into 2026 ## What You’ll Do - Draft detailed natural-language plans and code implementations for machine learning tasks - Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments - Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks ## What You’ll Bring - Experience: 0–2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) - Required Skills: Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. - Bonus: Contributor to ML benchmarks - Location: MUST be based in the United States ## Compensation & Terms - Rate: $80-$120/hr, depending on region and experience - Payments: Weekly via Stripe Connect - Engagement: Independent contractor ## How to Apply 1. Submit your resume 2. Complete the System Design Session (< 30 minutes) 3. Fill out the Machine Learning Engineer Screen (<5 minutes) ## Why Mercor Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across law, creative fields, engineering, and research use Mercor to work on frontier projects shaping the next era of AI.

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (approximately 20 hours/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hou, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

We are seeking an experienced AI Data Specialist/Analyst to join a leading global insurance company. The ideal candidate will have a strong background in both artificial intelligence and insurance underwriting, with the ability to bridge technical innovation and business needs. FT, Direct-Hire Hybrid in CT, located near the train station Experience with underwriting, AI driven automation solutions, LLM, SQL, cloud platforms, predictive models, data management, NLP, Machine Learning, Copilot, Tableau A leading global insurance company is hiring an Senior AI Business Analyst to advance AI-powered underwriting automation and data-driven decision-making. This role blends artificial intelligence, analytics, and insurance expertise to optimize risk assessment and operational efficiency. Key Responsibilities: • Build and enhance AI-driven automation for underwriting and compliance processes., • Integrate and analyze vendor and internal data to improve predictive models., • Apply machine learning, NLP, and LLMs to uncover insights and trends., • Collaborate with underwriting and business teams to define and deploy AI solutions., • Monitor model performance and support AI governance and ethics initiatives. Qualifications: • 5–7 years in insurance with strong understanding of underwriting and risk workflows., • 5+ year working with AI/ML technologies, LLMs, or NLP tools., • Proficiency in Python and SQL; cloud experience (AWS/GCP) preferred., • Strong analytical, modeling, and communication skills., • Minimum of 2 years analyzing and documenting business processes and data patterns, • Technical Skills: MS Office, Tableau, Power BI, ChatGPT, CoPilot, PowerApps, Power Automate, Azure, Data Bricks, • 2 years+ experience in P&C Insurance industry experience solutions Preferred: Experience in process automation, digital transformation, or enterprise AI solutions.

🚨 Associate Director of Risk Analytics, Credit Planning 🚨 Our client, Mitsubishi HC Capital America, is seeking an Associate Director of Risk Analytics to join their Credit Planning team. This is a high impact role focused on shaping credit policy through data-driven insights and portfolio optimization across both U.S. and Canadian markets. If you thrive in transforming complex data into actionable strategies and want to lead the evolution of credit planning, this is your opportunity to influence the future of commercial finance. ONSITE: 5 days/week in any of the following locations: Edina, MN | Itasca, IL | Norwalk, CT | Flower Mound, TX 🔍 THE ROLE: DRIVE CREDIT STRATEGY WITH INSIGHT AND IMPACT As an Associate Director of Risk Analytics in the Credit Planning team at Mitsubishi HC Capital America, you will lead the development of strategic credit policies and risk analytics across both U.S. and Canadian portfolios. This is a high impact role focused on optimizing the firm’s risk/reward tradeoff through data-driven decision making and portfolio management. You will be responsible for building and refining credit scoring models, exposure limits, and risk based pricing strategies, while also mentoring peers and collaborating across departments. This role is ideal for someone who thrives in translating complex analytics into clear, actionable strategies. KEY RESPONSIBILITIES: • Own and optimize credit policy components including buy boxes, score cut-offs, exposure limits, and collateral guidelines, • Lead analytics for the U.S and Canadian portfolio strategy, • Develop predictive models and portfolio analytics to guide underwriting and risk appetite, • Collaborate with originations, legal, and HQ Credit in Tokyo to align strategy and execution, • Drive automated decisioning, loss forecasting, and approval processing metrics, • Present insights and recommendations to senior leadership with clarity and impact, • Mentor team members and foster a collaborative, high-performance culture, • Promote the use of advanced analytical tools across Risk Management and Strategic Planning 🛠️ WHAT YOU BRING TO THE TABLE • Bachelor’s degree or equivalent experience, • 8+ years of experience in data analytics, credit strategy, or risk policy, • Proven ability to use analytics to drive measurable results (e.g., loss reduction, policy impact, cost savings), • Commercial or consumer finance background (e.g., Capital One, Chase, Citi), preferred, • Technical understanding of data models, segmentation, and mining techniques, • Strong analytical and statistical skills, including time series analysis, • Excellent communication skills- able to simplify complex problems and explain their significance, • Experience with tools such as Excel, SQL, SAS, Python, PowerPoint, and SAP Business Objects, • Ability to manage multiple projects under tight deadlines, • Ability to work independently and influence strategic direction 💰 COMPENSATION: $96,200 – $156,230; based on experience. This role is also eligible for a year-end bonus. 🎁BENEFITS & PERKS Experience a comprehensive package designed to fuel your personal and professional journey: • Top-Tier Health & Insurance: Medical, dental, vision, life & AD&D with low premiums; prescription drug coverage, • Financial Security: 401K with immediate vesting and up to 4.5% match; RSP contributions day one; HSA contributions; flexible-spending accounts, • Time Off: Competitive vacation time, plus 10 scheduled holidays, • Wellness & Lifestyle: Annual fitness reimbursement; virtual fitness membership; Stress management tools; Employee Assistance Program for confidential support and coaching, • Professional Growth: Tuition reimbursement after one year; dedicated development budget, • Culture: Transparent, collaborative environment with a supportive, family-like team 📢 MAKE A VISABLE IMPACT: Apply now or forward your resume directly to: Mitsubishi HC Capital is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, status, religion or belief, marital status, or pregnancy and maternity. Gallagher's HR & Organizational effectiveness team provides expert guidance and hands-on support in HR, Recruiting, and Payroll to help organizations stay focused on achieving their strategic business goals.

Role Overview The Data Science & AI Manager will spearhead initiatives spanning the entire lifecycle of AI and data-driven applications. This position combines leadership, technical expertise, and strategic insight to bring advanced analytics, machine learning, and generative AI solutions to life. The manager will collaborate across departments to deliver impactful AI products, scale automation, and promote data-driven decision-making throughout the company. Key Responsibilities • AI Product Development: Lead the creation and integration of generative AI solutions into enterprise platforms., • Champion the adoption of modern AI tools and technologies across departments., • Build, optimize, and maintain AI workflows, including orchestration layers, vector databases, and API connections., • Continuously refine performance through model tuning, testing, and iteration., • Develop a deep understanding of the company’s data landscape and its interconnections. Data Science & Experimentation: • Design and conduct experiments, build and validate predictive models, and create algorithms that power real-time decisions., • Apply statistical, machine learning, and optimization methods to support complex problem-solving., • Ensure data quality, reproducibility, and scalability across solutions. Leadership & Execution: • Oversee research, prototyping, and agile development sprints for AI-driven products., • Provide mentorship and best practices guidance to internal teams and external partners., • Translate technical concepts into business value for executive and non-technical stakeholders. Strategy & Communication: • Develop and present roadmaps, capability briefings, and recommendations on AI opportunities. Education: • 6–8 years of experience in data science, software engineering, or AI product development., • Proficient in Python, R, or JavaScript, with hands-on experience in generative AI models., • Skilled in designing and deploying AI solutions on cloud-based and distributed environments (microservices, containers, or serverless systems)., • Proven ability to connect technical outputs with strategic business outcomes., • Strong background in managing full project lifecycles — from concept to production deployment., • Experience delivering executive-level presentations and communicating complex insights clearly. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

Great opportunity with a private equity firm located in Stamford, CT. The Azure Data Engineer in this role will partner closely with investment and operations teams to build scalable data pipelines and modern analytics solutions across the firm and its portfolio. The Senior Azure Data Engineer main responsibilities will be: • Designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines, • Experience in designing solutions for large data warehouses and databases (Azure, Databricks and/or Snowflake), • Gather requirements from business stakeholders., • Architecting and delivering solutions using the Azure Data Analytics platform including Azure Databricks/Azure SQL Data Warehouse, • Utilizing Databricks (for processing and transforming massive quantities of data and exploring the data through machine learning models), • Design and build solutions powered by DBT models and integrate with Databricks., • Utilize Snowflake for data application development, and secure sharing and consumption of real-time and/or shared data., • Expertise in data manipulation and analysis using Python. Past work experience in financial markets is a plus (Asset Management, Multi-strategy, Private Equity, Structured Products, Fixed Income, Trading, Portfolio Management, etc.). E-Mail: Please feel free to connect with me on LinkedIn:

Hi, Hope you are all doing well, Role: Senior C++ Software Engineer – Market Data Visualization Platform - Remote Location: Stamford, CT Job Summary A leading global hedge fund is seeking a highly skilled Senior C++ Software Engineer to take ownership of the firm’s proprietary market data visualization platform. The system is built as a client–server architecture, where the server component runs on Windows Server and manages real time and historical market data ingestion, caching, and distribution, while the client application runs on Windows 11 and provides traders and researchers with a high-performance visualization and analytics interface. This role sits at the intersection of low-latency market data engineering and real time analytics UX, supporting portfolio managers, researchers, and systematic trading teams with a mission-critical tool that processes and displays streaming and historical market data from industry standard feeds. Responsibilities • Maintain, enhance, and extend the firm’s in-house C++ market data visualization platform across its client–server architecture., • Design and implement high-performance data ingestion, normalization, and caching mechanisms within the Windows Server backend., • Integrate directly with industry-standard market data feeds (Bloomberg, Refinitiv, ICE/IDC, direct exchange feeds)., • Develop scalable components supporting time-series retrieval, historical playback, and tick-level analysis., • Optimize the Windows 11 client application for performance, responsiveness, stability, and intuitive visualization., • Improve system-wide performance, including multi-threading, networking, and memory optimizations across both client and server., • Collaborate with traders, quantitative researchers, and data engineers to gather requirements and deliver solutions., • Ensure reliability and accuracy of displayed market data through validation, monitoring, and testing., • Own the full software lifecycle: design, implementation, testing, deployment, documentation, and support., • Define and maintain Security Policies for authentication and data entitlements, • Integrate with existing monitoring and alerting systems, • Document architecture and processes on Confluence, • Use JIRA for the tracking of development tasks, • Use GIT for lifecycle management of codebase Job Requirements • 7+ years of professional C++ experience with modern standards (C++14/17/20)., • Strong academic background with a Bachelor or Master’s degree in Computer Science or similar., • Strong experience building distributed or client–server systems, ideally on Windows Server and Windows 11., • Background in real-time systems, multithreading, and low-latency development., • Experience with realtime and historical Refinitive, BPipe or similar market data feeds., • Solid understanding of market microstructure, tick data, and time-series concepts., • Proficiency with Windows development, debugging, and performance tools., • Strong fundamentals in data structures, algorithms, networking, and memory management., • Experience in mission-critical software environments., • Strong SQL skills., • Excellent communication and collaboration skills and ability to operate autonomously as needed., • Strong documentation skills, including diagraming, and technical documentation., • Ability to work closely with end users and deliver under tight timelines. Preferred Skills • Exposure to quantitative finance or trading environments., • Interest in financial markets and front-office workflows., • Knowledge of complex macro fund asset classes, including pricing and risk generation,, • Experience with real-time visualization or analytics tools in a client–server environment., • Familiarity with graphics/UI frameworks such as Qt., • Experience with distributed systems or high-throughput messaging., • Knowledge of Python for analysis or C++ bindings., • Background in DevOps or CI/CD for C++ applications., • Sybase ASE., • AWS Cloud Container and Data Services., • Kafka.

The Data Science & AI Manager will spearhead initiatives spanning the entire lifecycle of AI and data-driven applications. This position combines leadership, technical expertise, and strategic insight to bring advanced analytics, machine learning, and generative AI solutions to life. The manager will collaborate across departments to deliver impactful AI products, scale automation, and promote data-driven decision-making throughout the company. Key Responsibilities AI Product Development: Lead the creation and integration of generative AI solutions into enterprise platforms. • Champion the adoption of modern AI tools and technologies across departments., • Build, optimize, and maintain AI workflows, including orchestration layers, vector databases, and API connections., • Continuously refine performance through model tuning, testing, and iteration., • Design and conduct experiments, build and validate predictive models, and create algorithms that power real-time decisions., • Apply statistical, machine learning, and optimization methods to support complex problem-solving., • Oversee research, prototyping, and agile development sprints for AI-driven products., • Provide mentorship and best practices guidance to internal teams and external partners., • Develop and present roadmaps, capability briefings, and recommendations on AI opportunities., • Partner with leaders across business units to identify use cases, measure ROI, and align AI initiatives with enterprise goals. Qualifications Education: • 6–8 years of experience in data science, software engineering, or AI product development., • Proficient in Python, R, or JavaScript, with hands-on experience in generative AI models., • Skilled in designing and deploying AI solutions on cloud-based and distributed environments (microservices, containers, or serverless systems)., • Proven ability to connect technical outputs with strategic business outcomes., • Strong background in managing full project lifecycles from concept to production deployment., • Experience delivering executive-level presentations and communicating complex insights clearly. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

• Title: ETL Test Manager, • Experience: 15 + Years, • Skills: ETL processes, Snowflake, Power BI, Tableau, • Location: Stamford CT. Summary: We are seeking a highly experienced and technically proficient ETL Test Manager with 15+ years of experience in software testing, specializing in ETL processes, Snowflake data warehousing, reporting/BI validation, and test automation. This leadership role will drive the QA strategy, execution, and governance across complex data ecosystems, ensuring data accuracy, performance, and business alignment. Responsibilities: Test Strategy & Planning • Define and implement robust test strategies for:, • ETL pipelines (data ingestion, transformation, and loading), • Snowflake data warehouse (schema validation, data integrity, performance), • BI/reporting tools (Power BI/Tableau/QlikView), • Automation frameworks for data and API validation, • Develop detailed test plans, test cases, and test data aligned with business and technical requirements., • Lead and oversee the execution of:, • Functional testing, • Integration testing, • Regression testing, • Validate data accuracy, completeness, and consistency across source systems, staging layers, and Snowflake., • Ensure business logic is correctly implemented in reports and dashboards., • Design and implement automated test suites for:, • Data validation using SQL, Python., • Integrate automated tests into CI/CD pipelines to support continuous testing and faster releases., • Collaborate with cross-functional teams including data engineers, BI developers, product owners, and business analysts., • Participate in Agile ceremonies such as sprint planning, reviews, and retrospectives., • Establish and enforce QA standards, templates, and documentation practices., • Ensure compliance with data governance, privacy, and security standards., • Maintain traceability between business requirements, test cases, and defects. Required Skills & Experience: • 15+ years of experience in software testing, with a strong focus on data and analytics platforms., • Proven expertise in ETL testing, data validation, and data quality assurance., • Deep hands-on experience with Snowflake – including querying, performance tuning, and schema validation., • Advanced SQL skills for complex data validation and transformation logic., • Experience testing BI/reporting tools such as Power BI, Tableau., • Proficiency in test automation tools:, • Python/SQL scripts for data testing, • Familiarity with data integration tools like Informatica, Talend Etc.

About the Firm Data Engineer – Vice President Greenwich, CT We are a global investment firm focused on applying financial theory to practical investment decisions. Our goal is to deliver long-term results by analyzing market data and identifying what truly matters. Technology is central to our approach, enabling insights across both traditional and alternative strategies. The Team A new Data Engineering team is being established to work with large-scale datasets across the organization. This team partners directly with researchers and business teams to build and maintain infrastructure for ingesting, validating, and provisioning large volumes of structured and unstructured data. Your Role As a Data Engineer, you will help design and build an enterprise data platform used by research teams to manage and analyze large datasets. You will also create tools to validate data, support back-testing, and extract actionable insights. You will work closely with researchers, portfolio managers, and other stakeholders to implement business requirements for new and ongoing projects. The role involves working with big data technologies and cloud platforms to create scalable, extensible solutions for data-intensive applications. What You’ll Bring • 6+ years of relevant experience in data engineering or software development, • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, • Strong coding, debugging, and analytical skills, • Experience working directly with business stakeholders to design and implement solutions, • Knowledge of distributed data systems and large-scale datasets, • Familiarity with big data frameworks such as Spark or Hadoop, • Interest in quantitative research (no prior finance or trading experience required), • Exposure to cloud platforms is a plus, • Experience with Python, NumPy, pandas, or similar data analysis tools is a plus, • Thoughtful, collaborative, and comfortable in a fast-paced environment, • Hard-working, intellectually curious, and eager to learn, • Committed to transparency, integrity, and innovation, • Salary range: $190,000 – $260,000 (subject to experience, skills, and location), • Eligible for annual discretionary bonus The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

C++ Market Data Engineer We are seeking a C++ Market Data Engineer to design and optimize ultra-low-latency feed handlers that power global trading systems. This is a high-impact role where your code directly drives real-time decision making. What You’ll Do: • Build high-performance feed handlers in modern C++ (14/17/20) for equities, futures, and options, • Optimize systems for micro/nanosecond latency with lock-free algorithms and cache-friendly design, • Ensure reliable data delivery with failover, gap recovery, and replay mechanisms, • Collaborate with researchers and engineers to align data formats for trading and simulation, • Instrument and test systems for continuous performance improvements What We’re Looking For: • 3+ years of C++ development experience (low-latency, high-throughput systems), • Experience with real-time market data feeds (e.g., Bloomberg B-PIPE, CME MDP, Refinitiv, OPRA, ITCH), • Strong knowledge of concurrency, memory models, and compiler optimizations, • Python scripting skills for testing and automation, • Familiarity with Docker/Kubernetes and cloud networking (AWS/GCP) is a plus

BACKEND SOFTWARE DEVELOPER (C#) – Core Dev Team FTE | Stamford, CT | Hybrid Firm Overview: Our client is a leader in global credit investing. With a dedicated team of 350, the firm oversees ~$40 billion of investable assets through a comprehensive credit platform that includes direct lending, structured credit, and special situations investment strategies. Core Dev Team Overview: The Core Development team is at the forefront of innovation, responsible for building in-house systems and integrating and customizing third-party applications essential to the firm’s operation. We are currently modernizing our proprietary on-premises systems into cloud-native, web-based solutions. This is a great opportunity for a talented backend developer to join our dynamic, fast-paced team and make a major impact on critical financial software used across the firm. This role offers exposure to cutting-edge technologies, cross-functional collaboration, and opportunities to influence architecture decisions. Primary Responsibilities: • Build and maintain custom .NET applications including STP trade platform, portfolio management tools, and front-office modules, • Drive modernization efforts by contributing to cloud and web transformation initiatives, • Integrate and extend third-party platforms like Workday and Salesforce, • Collaborate with business and project teams to translate requirements into scalable solutions, • Troubleshoot performance issues and implement robust fixes Qualifications/Skills: Required: • 7+ years in software development with C# and Web API, • Strong SQL experience and relational database design, • Experience with DevOps, CI/CD pipelines, Terraform, and Git, • Strong academic track record with degree in Computer Science or related field, • Excellent problem-solving and communication skills, • Self-motivated, quick learner, and demonstrated ability for learning new technology Preferred: • Experience in Azure cloud development, • Familiarity with Databricks or Snowflake, • Knowledge of messaging technologies such as RabbitMQ, Kafka, or Azure Service Bus, • Background in modernizing and transitioning software architecture and technology, • Understanding of Workday and/or Salesforce, • Front-end development experience using React, • Scripting skills in Python and PowerShell, • Awareness of accounting and finance fundamentals and work experience in the financial services

The quant development team sit on the desk and create, implement and support the tools, frameworks, platforms and models for the traders, researchers and quants. Due to increased research into Commodities, they are looking for a Quant Developer to convert unprecedented research theories into tangible models and platforms, written in reliable and scalable production standard code. This is part of an invigorating project to re-modernise the firm's Commodity Risk and Trading platform. Your Role: • Design and develop systems for conducting Commodities research and real-time alpha generation., • Build bespoke frameworks for exploring, designing and deploying systematic strategies and signals., • Increase research velocity and create back-testing and simulation frameworks which ensure seamless strategy implementation., • Utilise machine learning algorithms for analysing vast alternative datasets., • Build desktop tools for PnL estimates and position monitoring. Experience Required / About You: • Strong academic background with a Bachelors or Masters degree in Computer Science or related discipline(s)., • Commercial experience working collaboratively, building relevant systems and implementing strategies., • Strong Python development skills., • Superb analytical and quantitative skills; linking business problems with highly technical solutions., • The ability to find innovative ways around convoluted mathematical and computer science problems. Further Context: • The firm has an excellent culture and is one of the most reputable in the industry, with a track record of delivering advanced custom tech and constant innovation., • The company invests heavily in its people and their environment - it's a flat structure with scope for trajectory. You're never more than two steps away from the CTO., • This is a permanent position with a highly competitive salary and a comprehensive benefits package. Please enquire for more details.

Overview As an AI Engineer specializing in AI Agents, you will play a pivotal role in our organization's transformation strategies by designing and developing domain-specific AI agents and solutions. Prototyping, iterating, and taking these solutions to production, you serve as the technical complement to the business side of the AI Solutions Lead. Your work will involve close collaboration with transformation teams, business stakeholders, and AI platform teams to create scalable, cross-domain AI solutions that deliver actionable insights and perform intelligent tasks. Responsibilities • AI Development (40%)., • Prototyping, iterating, and taking to production domain-specific AI agents that can communicate and work with other AI agents, performing tasks such as information gathering, insight generation, and intelligent actions., • Writing and optimizing code for high-performance AI models., • Develop an actionable Generative AI roadmap and drive solution development using Gen-AI and Agentic AI capabilities., • Collaboration with Teams (20%)., • Collaborate with transformation teams and business stakeholders to understand requirements and tailor AI agents to specific domains., • Work closely with AI platform teams to build scalable and cross-domain AI agents while ensuring end-to-end observability., • Integration & Deployment (20%)., • Lead AI projects, demonstrating hands-on experience in code development and software engineering., • Deploy, monitor, and optimize AI agents on cloud infrastructure, ensuring high availability and performance., • Continuous Learning (20%)., • Stay updated with the latest advancements in AI and machine learning technologies and integrate these into existing or new AI agents., • Conduct thorough testing and validation to ensure the reliability and accuracy of AI agents and solutions., • Decision-Making Autonomy Moderate – Significant autonomy in the technical aspects of AI model development and implementation, working under the strategic direction provided by the Senior AI Solutions Manager., • Supervision Required Moderate – Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support., • Complexity of Role High – The role requires managing complex AI/ML projects, working with large datasets, and ensuring successful integration with existing systems while maintaining scalability., • The expected compensation range for this position is between $106,400 - $178,100., • Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process., • Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually., • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement., • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field., • Proficiency in programming languages such as Python, Java, or C++., • Experience and working knowledge with Agentic AI frameworks (e.g., Langchain, CrewAi, MCP, A2A) and deployment of AI solutions on cloud infrastructures (AWS, Azure, or Google Cloud)., • Strong understanding and experience in designing AI agents and integrating advancements in AI/ML technologies., • Excellent analytical, problem-solving, and communication skills., • Ability to work collaboratively in a cross-functional team environment., • Technical Proficiency: Deep understanding of new technologies, GenAI algorithms and Agentic tools., • Problem-Solving: Ability to translate business challenges into technical solutions., • Collaboration Skills: Effective at working within cross-functional teams., • Agility: Flexibility to adapt to changing requirements and new technologies., • Communication Skills: Capable of explaining complex technical concepts to non-technical stakeholders. Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity. If you'd like more information about your EEO rights as an applicant under the law, please download the available ___ & ___ documents. View ___ Please view our ___

About Us We are a premier retailer known for our commitment to quality, customer service, and innovation. As we prepare to transition into a publicly-traded company within the next 6–12 months, we’re building a future-ready IT audit function that emphasizes automation, efficiency, and compliance. To support this transformation, we're seeking an IT Audit Engineer—a technically capable professional who can independently develop scripts and tools that automate evidence gathering, testing, and other components of our IT audit processes. Unlike traditional IT auditors, this role is designed for someone who can build and maintain technical solutions without relying on outside engineering support. This is your opportunity to help shape a modern, tech-enabled audit program in a fast-paced, high-growth environment. Job Summary As our IT Audit Engineer, you will lead the technical side of audit execution—developing scripts, building automation, and integrating tools to streamline audit and compliance activities. You will work closely with IT auditors, process owners, and engineering teams to identify areas for automation and implement practical, secure, and auditable solutions. This role is ideal for someone who thrives at the intersection of compliance and code—a problem-solver who can write scripts as easily as they can navigate complex compliance and regulatory requirements. Key Responsibilities • Develop and maintain PowerShell and Python scripts to automate evidence collection, controls testing, and system analysis., • Build tools and lightweight utilities to streamline and support recurring audit procedures. Analyze system logs and event data to validate control performance and identify anomalies., • Partner with auditors and business teams to identify manual tasks that can be automated. Design and maintain documentation for all automation workflows, ensuring transparency and repeatability., • Support internal and external audits by building self-service or on-demand tooling for audit readiness., • Maintain version control and secure storage of scripts, ensuring audit trails are intact., • Help define best practices for audit automation, and act as a subject-matter expert for technical tooling within the audit team., • Bachelor’s degree in Computer Science, Information Technology, Information Systems, or a related field., • 1–3 years of experience in IT audit, automation engineering, or security scripting roles., • Strong scripting and automation skills using PowerShell and Python., • Experience analyzing and parsing system logs, event data, and access controls., • Familiarity with regulatory and compliance standards such as SOX, ISO 27001 and NIST. Ability to build tools or scripts that interact with directory services (e.g., Active Directory), logging platforms, and file systems., • Experience managing code in version control systems (e.g., Git)., • Experience with Workiva and Tripwire is a plus., • Strong documentation and process management skills to support audit traceability., • Ability to work independently and prioritize work across multiple audits and compliance initiatives. What We Offer • Competitive salary and comprehensive benefits package, • A key technical role in our transition to becoming a publicly-traded company, • Opportunities to define audit automation practices from the ground up, • A collaborative, forward-thinking environment where your technical input drives real impact.

Ideal candidates have a strong analytical background, leadership experience, and programming skills in SAS, R, or Python.

Due to increased research into Commodities, they are looking for a Quant Developer to convert unprecedented research theories into tangible models and platforms, written in reliable and scalable production standard code.

Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories - Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - Stakeholder Communication: Present insights to data labeling experts and technical teams ## Required Qualifications - Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics - Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Up Your Tech Career: Java + DevOps + Spring Boot.Are you ready to turn your Java skills into a high-paying, high-demand tech career? Whether you're a fresh CS graduate, a career changer, or someone looking to specialize in backend development and DevOps,.Why Java + DevOps + Spring Boot?.In today's c

Job Description Trexquant is seeking a highly skilled Principal Software Engineer to lead the next-generation development of our trading and research simulation platform. This role is central to advancing Trexquant’s systematic trading infrastructure and enabling scalable alpha development across multiple asset classes. The successful candidate will architect, implement, and optimize high-performance systems that drive trading simulations, data processing, and live execution for quantitative strategies. As a Principal Software Engineer, you will work closely with quantitative researchers, and engineers to design and maintain a robust, extensible simulation and backtesting framework. You will help shape the foundation for backtesting, performance evaluation, and live trading analytics that support Trexquant’s global systematic strategies. Responsibilities • Architect and develop a high-performance multi-asset simulation and backtesting platform capable of supporting strategy research, backtesting, and deployment across equities, futures, fixed income, and derivatives., • Collaborate with quantitative researchers to ensure the platform accurately models market dynamics, transaction costs, and execution behavior consistent with live trading environments., • Design scalable infrastructure for data ingestion, transformation, and computation pipelines that efficiently process large-scale market data and model outputs., • Optimize C++ systems for low latency, high throughput, and numerical precision, ensuring reliability and reproducibility across simulations and production trading., • Integrate research workflows—including model training, evaluation, and deployment—into a unified infrastructure supporting both Python- and C++-based research., • Partner with infrastructure and data engineering teams to enhance caching, time-series management, and distributed computation capabilities., • Ensure modularity, scalability, and extensibility of the simulation and backtesting framework to accommodate evolving research needs and new asset classes., • Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field., • 7+ years of experience in quantitative research infrastructure, simulation systems, or high-performance trading technology development., • Expert-level proficiency in C++ (C++17/20) with deep knowledge of algorithms, concurrency, data structures, and numeric computation., • Strong understanding of market microstructure, execution systems, and simulation methodologies across multiple asset classes., • Proven experience architecting large-scale, low-latency, high-throughput systems for systematic or high-frequency trading., • Proficiency in Python for research workflow integration and data engineering., • Strong background in data modeling, time-series computation, and system performance optimization., • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO Health, dental and vision insurance premiums fully covered for you and your. dependents., • Pre-tax commuter benefits., • Weekly company meals. Trexquant is an Equal Opportunity Employer

Job Description Trexquant is a growing systematic fund at the forefront of quantitative finance, with a team of world-class researchers and engineers. As we continue to expand our trading operations, we are investing heavily in building the next generation of our quantitative research & trading platform. We are seeking an Early Career Software Engineer with strong programming skills to join our engineering team. In this role, you will work closely with experienced engineers and quantitative researchers to develop the infrastructure that powers systematic trading, including data pipelines, back testing tools, and execution systems. You will have the opportunity to contribute to greenfield development projects, where you’ll help build new systems from the ground up, driving innovation and scalability in our technology stack. Responsibilities • Full lifecycle development of low-latency, high-throughput research and trading systems using C++, C, Java, or Rust, • Build and optimize data processing pipelines to ensure reliable access to large, high-quality datasets., • Assist in developing tools for back testing, model training, and strategy evaluation., • Collaborate with researchers and traders to deliver technical solutions that improve research productivity and trading performance., • Participate in code reviews, testing, and documentation to maintain high-quality standards., • BS/MS degree in Computer Science, or a related STEM field, • Strong knowledge of data structures, algorithms, and object-oriented programming., • Proficiency in one or more programming languages: C++, C, Python, Java, or Rust., • Familiarity with Linux environments, • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance premiums fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company meals. Trexquant is an Equal Opportunity Employer.

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. Knowledge of Statistics, Python, data visualization tools.

Java Full stack developers, Python/Java developers, Data analysts/ Data Engineers/Data Scientists, Machine Learning engineers.

Job Description Trexquant is seeking an experienced quantitative researcher to lead our Systematic ETF Strategy Team. In this role, you will manage a team of researchers focused on designing, implementing, and trading systematic ETF-based strategies within Trexquant’s core quantitative framework. Your leadership will play a critical role in scaling ETF strategies into a meaningful asset class for the firm. Responsibilities • Lead and mentor a team of researchers to expand ETF capabilities by identifying new data sources, signals, and strategies., • Oversee the design, backtesting, and implementation of systematic ETF trading strategies., • Collaborate with the development team to enhance the performance, robustness, and scalability of ETF simulation and trading infrastructure., • Partner with execution and financing teams to optimize trade execution and capital efficiency., • Work with the risk team to establish monitoring frameworks, controls, and capital allocation processes specific to ETF exposures., • 5+ years of experience researching and trading quantitative ETF-based strategies., • Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field., • Proven leadership experience managing quantitative research teams., • Strong quantitative, analytical, and problem-solving skills., • Proficiency in Python; familiarity with large-scale data analysis and backtesting frameworks a plus. Benefits • Competitive salary with performance-based bonus., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company-provided meals. Trexquant is an Equal Opportunity Employer

Job Description We are seeking an experienced technologist to lead and enhance our firm’s technology infrastructure. This individual will oversee multiple technology teams, ensuring the implementation of scalable, secure, and efficient systems that meet our growing computational demands and cybersecurity priorities. The role requires strong leadership, cross-team collaboration, and a strategic mindset to drive infrastructure improvements across the organization. Responsibilities • Design, build, and enhance core infrastructure systems that support trading, research, and operations, including integration with the firm’s Order Management System (OMS)., • Evaluate existing systems to identify bottlenecks and implement improvements that enhance scalability, performance, and security., • Lead and mentor technology teams, promoting best practices in software engineering, system design, and performance optimization., • Collaborate with cross-functional teams to align technical initiatives and define a long-term infrastructure roadmap., • Oversee the development, integration, and deployment of systems and tools in C++/Python/Java/Linux environments., • Ensure seamless implementation of new technologies while maintaining system reliability and uptime., • Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related STEM field., • 5+ years of hands-on programming experience building and optimizing large-scale systems in C++, Python, or Java within Linux environments., • Proven track record of architecting and scaling infrastructure in high-performance or distributed computing settings., • Proven experience designing, implementing, or supporting Order Management Systems (OMS) or comparable trading infrastructure, • Strong problem-solving skills with a deep understanding of systems architecture, networking, and security fundamentals., • Excellent communication skills and the ability to collaborate effectively across technical and business teams., • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO Health, dental and vision insurance premiums fully covered for you and your. dependents., • Pre-tax commuter benefits., • Weekly company meals Trexquant is an Equal Opportunity Employer

Job Description Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. * Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. * Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. * Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. * Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. * Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. * Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. * Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications * Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. * Excellent written and verbal communication; proactive and collaborative mindset. * Comfortable in hybrid or distributed environments with strong ownership and accountability. * A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. * Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience * 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. * Expert SQL (query optimization on large datasets) and Python skills. * Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). * Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. * Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). * Bonus: Strong Node.js skills for faster onboarding and system integration. * Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

Job Description Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. Our Quantitative Researchers are embedded within the following teams: Alpha Researcher: As a member of the Alpha Researcher team, you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models. Data Scientist: As a member of the Data Science team, you will be involved in parsing and analyzing large data sets, working on discovering and obtaining new sources of data and collaborating with the Alpha and Strategy team to build predictive machine learning models. Strategy Researcher: As a member of the Strategy team, you will be developing systematic strategies based on a variety of machine learning and statistical methods. The data you train and validate comes from actual market trading When you apply for a Quantitative Researcher role at Trexquant, we will first assess you on the core skills required for the Quantitative Researcher. During the interview process, we will be able to get to know you better, learn about your strengths and match you to the best research team that closely aligns with your skills and preference. Your Responsibilities: • Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals, • Parse data sets to be used for future alpha(strategy) development, • Investigate and implement state-of-the-art academic research in the field of quantitative finance, • BS/MS/PhD degree in any stem field, • Passion for machine learning, • Fluent with programming languages like Python, • Strong problem-solving skills, • Ability to work effectively both as an individual and a team player, • Knowledge of financial accounting is a plus, • Competitive salary plus bonus based on individual and company performance, • Collaborative, casual, and friendly work environment, • PPO Health, dental and vision insurance premiums fully covered for you and your dependents, • Pre-tax commuter benefits, • Weekly company meals Trexquant is an Equal Opportunity Employer

Job Description Our Client A fast growing standards and insurance startup based in San Francisco, they have raised 15 million dollars in funding and are reinventing how enterprises adopt AI agents. Their two pronged model, which includes creating the industry’s first AI agent standard and pairing it with bespoke insurance coverage, gives AI companies a trusted pathway to certify their agents and reduces enterprise risk. By helping AI vendors earn credible certification and providing insurance protection against failures such as hallucinations, data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence rather than fear. With deep expertise in AI risk, insurance, and standards, they are building the essential “confidence infrastructure” that will support safe AI scale up. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead end-to-end development of AI agent products and infrastructure, collaborating closely with the founding team. * Build and scale evaluation pipelines to detect AI agent failures in deployment (e.g., hallucinations, jailbreaks, brand risks, data leakage). * Design and implement the gold standard for secure, safe, and reliable AI agents. * Develop and maintain full-stack systems, including backend (Python, LangChain) and frontend (React, TypeScript) components. * Create monitoring tools, filters, and authorization frameworks to support AI agent builders. * Work on-site in San Francisco, contributing to a fast-paced, high-agency startup environment. * Ship products frequently, gather user feedback, and iterate rapidly to improve reliability and safety of AI systems. Qualifications * Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. * 1+ years of experience as an AI Software Engineer with active coding responsibilities. * Proven expertise developing AI agents and LLM-based systems (e.g., published research or work in a leading AI team). * Founding or early-stage startup experience, with demonstrated ability to own end-to-end product development. * Strong understanding of AI evaluation methodologies and deployment reliability standards. * Excellent problem-solving and communication skills with the ability to articulate technical impact in business terms. * Evidence of high agency, ownership, and execution velocity (e.g., promotions in <2 years, side projects, or rapid iteration). * Can work full-time on-site in San Francisco (5 days a week).

Job Description We are looking for a senior FX professional to develop and lead a quantitative FX Strategy at Trexquant. In this role, you will be responsible for developing strategies and building out a team for researching, implementing, and trading profitable FX based strategies within our core product. Your work will integrate FX as an asset class in our proven quantitative processes and significantly expand our tradable universe, profitability, and competitive edge. Responsibilities • Identify data useful for building and backtesting proposed FX trading strategies then build pipelines to feed these datasets into our research and trading platforms., • Work with the development team to improve accuracy, robustness, and speed of our platform in simulating and trading FX based strategies., • Develop FX based trading strategies and partner with the executions team to optimize execution of strategies, harmonizing with existing investments and asset classes., • Partner with the risk team to establish monitoring and controls for FX specific risk exposures as well as risk allocation among our incumbent strategies., • Build out and lead the FX Strategy Team to continually add, enhance and monitor FX alphas for the ongoing profitability and scale of the team’s strategies., • Bachelor's, Master’s, or Ph.D. degrees in Mathematics, Statistical Modeling, Computer Science or other related STEM fields., • 5+ years of experience in researching and trading quantitative FX based strategies., • Experience managing or leading a team of quant researchers., • Strong quantitative skills., • Competitive salary, plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets., • PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Trexquant is an Equal Opportunity Employer

Job DescriptionAbout BestEx Research BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides high-performance algorithmic execution services to hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model. Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution algorithms, including transaction cost analysis (TCA), an algorithm customization tool called Strategy Studio, a trading dashboard, and pre-trade analytics in a single platform. The platform is currently live for U.S., Europe, and Canadian equities and global futures trading. BestEx Research is disrupting a $100 billion industry by challenging the status quo of stale, black-box solutions from banks and offering next-generation execution algorithms that combine performance improvement with transparency and customization. BestEx Research uses leading-edge technology to support its low-latency, highly scalable research and trading systems, with its backend in C++, research libraries in C++/Python and R, and web-based technologies for delivering its front-end platforms. BestEx Research’s mission is to become the leader in automation and measurement of execution across asset classes globally and significantly reduce transaction costs for our clients. Description We are seeking an experienced algorithmic trading consultant who is a skilled analytical storyteller with strong coding skills and statistical background to join our Stamford, CT team as a Senior Execution Consultant. This role plays a critical function in monitoring, evaluating, and optimizing algorithm performance across a diverse client base. This team member will be responsible for monitoring client performance as well as producing meaningful insights and actionable recommendations that drive value for both individual clients and the firm at large. This role offers significant opportunity for growth, including increased ownership of client relationships, influence on execution strategy, and collaboration across product and business development teams. As a central contributor to performance analysis, this position benefits from direct collaboration with firm leadership and offers a clear contribution to revenue generation. Responsibilities • Understand and document clients’ evolving goals, needs, measurement process, and related outcomes, • Manage the end-to-end process of regular behavior and performance monitoring at the individual customer level and across the client base globally, • Assess the impact of algorithmic changes for specific clients, as well as in firm-wide applications, with a data-driven, practical statistical approach, • Produce insightful analysis through rigorous coding, data analysis, and visualization, • Translate complex performance data into clear, actionable insights and recommendations for clients and internal stakeholders in periodic reviews, • Design and deliver high-quality presentations that communicate performance results and strategic recommendations, • Stay abreast of changes to market structure and liquidity conditions, contribute to educating team members and clients where appropriate, • MS or PhD in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics, or a related discipline, • 3-5 years of prior experience in US equity electronic trading performance evaluation, • 5+ years of experience in answering research questions supported by statistical evidence–going beyond reporting results to generating meaningful insights, • 5+ years experience in coding for data analysis (e.g., Python, SQL, R) and visualization, • Proven ability to interpret and present complex data to technical and non-technical audiences in a meaningful story arc–beyond reporting results to actionable insights, • Understanding of algorithmic execution strategies, parameters, and optimization, • Deep understanding of US equities market structure and microstructure; global equities, futures helpful, • Ability to manage multiple priorities in a fast-paced, client-facing environment, • Extraordinary attention to detail and a structured approach to documentation and process management, • Willing to work in Stamford, CT in person daily and travel to meetings as needed, globally (current frequency is 2-3 times per month, though this is expected to evolve), • A positive, collaborative attitude and drive to take ownership of one’s work, explore data to answer open questions, and go above and beyond to deliver on shared goals

Job Description We are seeking a highly skilled and motivated Quantitative Researcher to join our Futures team. This role focuses on researching and developing quantitative models for trading and risk management within the futures markets. The ideal candidate will have expertise in financial modeling, statistical analysis, and a deep understanding of market dynamics. Responsibilities • Design, implement, and optimize trading strategies to predict futures market trends using extensive financial data and a wide array of trading signals., • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for futures trading., • Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies., • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability., • BS/MS/PhD degree in a STEM field., • 2+ years of experience in quantitative research, preferably within futures markets., • Passion for machine learning., • Proficiency in programming languages like Python and statistical modeling., • Strong problem-solving skills., • Ability to work effectively both independently and as part of a team. Benefits • Competitive salary, plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets., • PPO Health, dental and vision insurance premiums fully covered for you and your dependents., • Pre-Tax Commuter Benefits – making your commute smoother. Trexquant is an Equal Opportunity Employer

Job Description Associate Programmer Hedge Fund - Greenwich, CT Position Summary: We are seeking a skilled and motivated Associate Programmer to join our team. The successful candidate will be responsible for automating and streamlining our operations and processes, building and maintaining tools for deployment, monitoring, and operations, and troubleshooting and resolving issues in our development, test, and production environments. Responsibilities: Infrastructure and Automation · Develop and maintain automation scripts and tools to manage infrastructure. · Design, implement, and manage continuous integration/continuous deployment pipelines to enable rapid software development and deployment. · Set up and maintain monitoring and logging solutions to ensure system performance, reliability, and availability using tools. · Deploy, manage, and monitor applications in cloud environments such as AWS and Azure. · Work closely with development, QA, and operations teams to ensure smooth deployment and operation of software systems. · Implement and manage security best practices in the DevOps processes, including vulnerability assessments, patch management, and incident response. · Troubleshoot and resolve issues in development, test, and production environments. · Analyze system performance and identify bottlenecks; recommend and implement performance improvements. Required Skills & Experience: · Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. · Up to five years of experience as an Associate Programmer or in a similar role in programming. · Proficiency with automation tools. · Strong understanding of cloud platforms like AWS and Azure. · Knowledge of interaction with vendor provided API's. · Familiarity with containerization and orchestration tools. · Scripting skills in languages such as Python, SQL, or PowerShell. · Knowledge in Microsoft Excel and VBA is a plus. · Strong problem-solving and troubleshooting skills. · Excellent communication and collaboration abilities. · Self-motivated and eagerness to learn. · Strong work ethic and high level of professionalism and integrity · Ability to work in a fast-paced, dynamic environment and handle multiple tasks concurrently. · Experience with Power Automate. About Us: We are a private investment management company in operation for over 20 years, investing long and short in global, multi-industry, public equities and private investments. We currently manage approximately $15 billion in assets across its various strategies, including a private portfolio of approximately $2 billion and growing. Based in Greenwich, Connecticut, with research offices in Palo Alto and New York City. The firm employs a team comprised of approximately 100 employees. We provide comprehensive benefits to support our employees, their careers, their health, and their well-being, including the following: • Competitive compensation structure, • Fully paid health care benefits for employees and dependents, • Generous parental and family leave policies, • Paid vacation and sick time, • Mental and physical wellness programs, • Tuition assistance, • A 401(k) savings program with a generous employer match, • Environmentally-friendly workspaces with space for appropriate social distancing, • Relocation assistance available