Junior Remote Junior Remote Remote Workforce Development Program Manager Manager Specialist in Singapore

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world’s largest enterprises to the most ambitious startups, use Stripe to accept payments, grow revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a significant amount of work ahead. This is an opportunity to help put the global economy within everyone’s reach while doing meaningful work. About the team The Recruiting team helps build Stripe’s culture by aligning exceptional global talent with our highest-impact business needs. We bring Stripe’s operating principles to life through our recruiting processes, provide a high-quality candidate experience, and use data-driven storytelling to influence the business. What you’ll do We’re looking for a consultative, creative recruiter to grow and scale our Business and Core teams in APAC. You’ll own full-cycle recruiting, shape hiring strategy, and deliver a strong candidate experience. You’ll be a builder who thrives in a learning environment. You’re comfortable trying new approaches, exploring ideas, and improving our processes. Responsibilities Fulfill junior-level and high-volume requisitions while scaling teams across the Stripe Delivery Center in Singapore. Partner with internal stakeholders with different priorities to understand hiring objectives and develop recruiting strategies that meet headcount goals. Partner closely with Recruiting Analytics to ensure accurate reporting on hiring progress for the business. Build cross-functional partnerships with Compensation, Human Resources, Finance, and other teams to scale hiring across Stripe. Consistently generate a healthy pipeline of high-quality candidates through branding, events, and employee referral channels. Provide timely reporting on key metrics and insights to inform decisions and improve processes. Who you are We’re looking for someone who meets the minimum requirements for this