Responsible for cash flow planning, liquidity management, working capital optimization, and treasury operations in a multi-entity, multi-currency environment.
Responsibilities
Maintain and improve short- and medium-term cash flow forecasts
Analyze historical cash flows and operational drivers
Consolidate and validate inputs from AR/AP, FP&A, Operations, Tax and Payroll
Investigate discrepancies between systems and bank transactions
Monitor forecast versus actuals and refine assumptions
Requirements
Bachelor’s degree in Finance, Accounting, Economics, Commerce or related field
Seeking an NLP engineer for a NLP research team to develop modern NLP solutions including LLMs, agents, RAG, and open-source models fine-tuning and deployment.
Responsibilities
Exploring and combining rich internal and external textual datasets
Building GenAI solutions, leveraging both internal models and external APIs
Formulating research hypothesis to derive alpha
Post-training models for specific tasks
Benchmarking LLM approaches internal tasks
Requirements
Bachelor in computer science or another quantitative discipline
Master’s in computer science or another quantitative discipline
PhD in computer science or another quantitative discipline
Lead key initiatives across authentication, feature access, account recovery, and cross‑platform experience, while guiding the evolution of Mozilla’s payments platform.
Lead end‑to‑end delivery of key accounts initiatives, including passwordless authentication and improvements to the authentication and account recovery experience across platforms.
Manage the Mozilla Accounts and Subscription Platform product roadmap, setting clear priorities aligned to strategic goals and driving focused execution.
Guide improvements to Mozilla’s subscription platform across payments, entitlements, and metering, partnering with product teams to support their subscription offerings.
Seek out and leverage data and user insights and market research to drive impact through experimentation.
Partner closely with engineering, UX, and cross‑functional teams to maintain a focused, outcome‑driven backlog.
The role focuses on developing Python applications, quantitative tools and data infrastructure that support trading decisions, research and risk management across Commodities, Agriculture, Metals and Energy.
Responsibilities
Design, develop and deploy quantitative tools supporting trading and research, including pricing, backtesting, risk analysis and PnL reporting
Build Python applications and data pipelines to explore, integrate and analyse alternative datasets, including weather and cargo data
Collaborate with Quantitative Researchers and Traders to translate trading ideas and business requirements into production applications and quantitative models
Architect, develop and maintain cloud applications in collaboration with infrastructure engineers, using AWS and related technologies
Develop and apply statistical and machine learning models to support research and trading across Agriculture, Metals and Energy
Lead the design and implementation of scalable, resilient backend systems and services, own architectural decisions, mentor engineers, and drive technical strategy for backend systems.
Responsibilities
Lead the design and implementation of scalable, resilient backend systems and services
Own architectural decisions and drive system design for complex, high-scale distributed systems
Identify and solve deeply complex technical challenges related to scalability, performance, and reliability
Define and drive short-term and long-term technical strategy for backend systems
Establish and enforce high standards for code quality, system design, and engineering best practices
Building and deploying models that directly power PayPay products, with secondary responsibility for experimentation and data-driven insights.
Compensation
Annual salary paid in 12 installments (monthly). Based on skills, experience, and abilities. Reviewed once a year.
Responsibilities
Own end-to-end design, implementation, evaluation, and maintenance of machine learning models for prediction, recommendation, anti-fraud, etc. from problem framing to production
Lead architectural decisions for data science systems.
Process, analyze, and visualize user and merchant data, providing data-driven insights that influence product strategy for technical and business divisions.
Collaborate with data engineers, product managers, and stakeholders to build robust production systems
Requirements
Bachelors in a quantitative field such as Computer Science, Machine Learning, Mathematics, Statistics, Economics, Physics, or equivalent
Nice to have: Masters or PhD in a quantitative field
Lead technical architecture and delivery for enterprise DSPM customers across multiple industries, designing and deploying solutions on AWS, Azure, and GCP.
Responsibilities
Own the Technical Lifecycle & Solution Architecture
Lead the design, execution, and interpretation of experiments to evaluate user migration initiatives, growth marketing strategies, and campaign performance for PlayStation.
Compensation
$178,900—$268,300 USD
Responsibilities
Lead the design, execution, and interpretation of A/B tests and quasi‑experiments
Partner with cross‑functional teams to embed experimentation into development cycles
Serve as a thought leader on hypothesis development, metric selection, test structure, and results communication
Apply advanced causal inference methods when experimentation isn’t feasible
Help define and contribute to centralized experimentation frameworks, tools, and documentation
Requirements
Bachelor’s degree or equivalent
Nice to have: Master’s or PhD in Statistics, Economics, or Econometrics
Nice to have: interest in video games, gaming platforms, or player behavior
Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives, growth marketing strategies, and campaign performance.
Compensation
$178,900—$268,300 USD
Responsibilities
Lead the design, execution, and interpretation of A/B tests and quasi-experiments
Partner with cross-functional teams to embed experimentation into development cycles
Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication
Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization
Help define and contribute to centralized experimentation frameworks, tools, and documentation
Requirements
Bachelor’s degree or equivalent
Nice to have: Master’s or PhD in Statistics, Economics, or Econometrics
Nice to have: Interest in video games, gaming platforms, or player behavior
Treasury Associate, Cash Management & Working CapitalNewNivoda · Mumbai, India
NLP EngineerNewPoint72 · New York, US
Staff Product Manager, Accounts & PaymentsNewMozilla · Remote, Canada
Cloud Platform Engineer (DB Specialist)NewPayPay · Japan
Quantitative Developer - Commodities (Python)NewQube Research & Technologies · London, United Kingdom
Software Development Engineer - 3 (Backend)NewQuince · Bengaluru, India
Senior Professional Services Consultant – Data Security Posture Management (DSPM)NewZscaler · Mohali, India