Research

Senior Applied AI Scientist Location: UK-based, remote-first (with monthly optional meetups in London) Start date: ASAP Eligibility: Must have the right to work in the UKOverview DeepRec.ai has the pleasure of partnering with a remote-first NbS startup as they look to hire a Senior Applied AI Scientist to lead the development of ML-driven solutions that scientifically quantify the real-world impact of nature-based interventions. You'll join a multidisciplinary team of AI scientists, engineers, and environmental experts tackling one of the biggest challenges of our time: building trusted, scalable tools for climate and biodiversity action.The CultureShared purpose, no ego.Remote-first with flexible working hours, built on trust.Monthly team meetups at a London-based office (Highbury).Clear communication, fast iteration, and support over silos.A culture that thrives on ambiguity, feedback, and a growth mindset.What You’ll DoDesign, build, and scale machine learning models using environmental and observational data.Apply advanced causal inference techniques such as Bayesian Neural Networks, Gaussian Processes, Difference-in-Differences, and Synthetic Control methods.Leverage foundation models (e.g. Prithvi, Clay) and transformers to extract insights from complex datasets.Work cross-functionally with science, engineering, and product teams to embed models into real-world pipelines.Communicate scientific and technical concepts clearly to both technical and non-technical audiences.Stay current with the latest developments in AI and environmental science, integrating relevant innovations into production.Mentor junior team members and foster best practices in applied ML.What You BringStrong background in applied machine learning, bayesian statistics, and causal inference.Proficiency in Python and ML frameworks such as PyTorch.Experience with cloud infrastructure (e.g., AWS, GCP).A clear, concise communication style - clear examples given when asked, not word salad.An adaptive mindset and comfort working in fast-changing environments.A deep motivation to contribute to climate and ecological impact.An advanced degree (MSc or PhD) in Computer Science, Statistics, Economics, Physics, Mathematics, or a related field.Nice to HaveExperience working with geospatial or spatial-temporal data.Experience with remote sensing datasets (e.g., Landsat, Sentinel, SAR).Familiarity with TorchGeo or TerraTorch.Experience with Rasterio, Geopandas, Xarray, or Dask.Previous collaboration with academic or scientific research communities.Publications in peer-reviewed journals or conferences.BenefitsRemote-first and flexible hours32 days paid holiday (including bank holidays, fully flexible)Extra day off on your birthdayPension schemeEnhanced gender-neutral parental leaveSpill mental wellbeing supportCompany laptop + home working setup allowance

📍 Associate Quant Researcher | Our Client: AFBI LP Location: Miami HQ We’re partnered with a high-performing multi-manager hedge fund backed by a leading institutional allocator, to help build their next wave of Quantitative Research talent. With ≈$1B+ in AUM and a core focus on systematic macro, AFBI is quietly assembling one of the most technically sophisticated platforms in the space—blending discretionary insight with automated alpha generation across global rates, FX, commodities, and credit. As part of their buildout, they’re hiring an Associate Quant Researcher to work directly with the Head of Systematic Execution, helping design and deploy cross-asset trading signals and alpha models from scratch. The RoleResearch, prototype, and productionize short- to medium-horizon trading signalsEngineer clean, robust data pipelines (Python, SQL, AWS)Work cross-functionally with portfolio managers and execution teamsBacktest ideas, calibrate risk, and get real-time feedback in a live trading environmentYou’ll NeedA strong academic background (Master’s or PhD in STEM)1–3 years’ quant research experience in a hedge fund, prop shop or elite labFluency in Python (Pandas, NumPy, scikit-learn); familiarity with C++ a plusDemonstrable experience converting noisy data into real alphaWhy AFBI?Direct access to decision-makers and low bureaucracyP&L-linked compensation and performance ownershipRelocation to Miami or NYC support + hybrid flexibilityTech-first, research-led culture—zero red tape💬 Interested? Drop your resume and availability to chat next week. We’ll arrange a confidential intro call with the team. This is a high-impact role at a stealthy but well-capitalized fund—ideal for someone ready to move fast, think independently, and see their work live in production.

🔹 Mid-to-Senior C++ Developer | NYC | Front Office HPC 📍 Location: On-site – New York City 📈 Industry: Quantitative Trading | High-Performance Systems 💼 Level: 5–10 years’ experience 🚀 About the Role Our client, a leading global quantitative hedge fund, is seeking a Mid-to-Senior C++ Developer to join their Front Office HPC team. This is a high-impact role where you’ll engineer performance-critical systems that directly support research and live-trading operations. You’ll work alongside world-class engineers and quants to design and build scalable, low-latency infrastructure. Finance experience is not required — intellectual curiosity and a passion for building high-performance systems is. 🔧 What You’ll Be Working OnCore Systems Development: Build ultra-fast C++ applications for order management, market data ingestion, and exchange connectivity.Performance Tuning: Drive latency reduction, throughput gains, and system scalability in a real-time trading environment.Architecture & Design: Collaborate on system design and architecture across distributed and high-performance compute environments.🎯 What We're Looking For5–10 years’ hands-on C++ development experience in performance-critical environments (e.g. trading, gaming, networking, HPC).Strong grasp of algorithms, data structures, memory management, and concurrency.Experience with Linux internals and performance profiling tools.Degree in Computer Science, Computer Engineering, or related field (Bachelor’s or Master’s).Excellent communication skills and the ability to thrive in a fast-moving, collaborative team environment.A self-starter mindset — proactive, curious, and eager to make a real impact.💡 Why Join?Work with cutting-edge technology in a true performance-first environment.Own projects that directly impact trading outcomes.Collaborate with some of the brightest minds in engineering and quantitative research.📩 Apply Now If you're an elite C++ engineer who thrives on solving complex technical challenges at scale — we’d love to hear from you.