Support the day-to-day operations of the Trading business, including internal reporting, workflow tracking, and process coordination. Perform data analysis using tools like Python, SQL, and Excel to support financial reporting, generate insights, and validate business metrics. Collaborate with RevOps, TradeOps, Sales, Legal, Risk, Compliance, and Product teams to support execution of trading processes and client needs.
Anchorage Digital is a crypto platform that enables institutions to participate in digital assets through custody, staking, trading, governance, settlement, and security.
Build and maintain data pipelines integrating financial data from various systems.
Ensure data quality, lineage, and governance standards for finance data systems.
Build predictive models for customer lifetime value, churn, and revenue forecasting.
Oura empowers individuals to understand and improve their health through their Oura Ring and connected app, providing insights into readiness, activity, and sleep. They are a rapidly growing company focused on helping people live healthier and happier lives.
Partner with stakeholders to translate business challenges into data science problems.
Own the end-to-end lifecycle of data science models, from data exploration to deployment.
Develop scalable and efficient models, balancing algorithmic complexity with business needs.
Ocrolus helps lenders automate workflows with confidence, streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.
Design and validate rule-based and machine learning models for transaction monitoring. Build and optimize scalable data pipelines integrating blockchain analytics. Lead the development and execution of comprehensive metrics and data reporting frameworks.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps).
Lead efforts to improve and scale our promotion architecture, optimize data infrastructure, enhance analytical models, and enable data-driven decision-making across the organization. Manage the partnership with our Product and Engineering teams to support works across some of Wealthsimple’s highest priority efforts. Build robust, efficient, and integrated data models in cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization.
Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money.
As a CE Data Analyst, you will play a critical role in shaping the performance ecosystem of the Client Experience organization. You will own the advancement of our CE Specialist Performance Management platform, the data backbone that powers our incentive models and helps drive the world-class support Kraken strives to deliver. Partner with the Client Engagement team to define meaningful KPIs that measure the effectiveness of CE operations. Build, refine, and maintain CE’s performance metrics within the Data Lake as the single source of truth.
Kraken is a mission-focused company rooted in crypto values that aims to accelerate the global adoption of crypto, so that everyone can achieve financial freedom.
Provide competitive analysis on the market. Ensure the quality and accuracy of data collection and analysis. Liaise with the data research team leads, editorial, methodology, and SEO teams.
At Forbes Advisor, our mission is to help readers turn their aspirations into reality.
The Senior Data Analytics Engineer designs, implements, and optimizes data analytics infrastructure. The role requires both technical expertise and strong analytical skills. The engineer develops and maintains data models, dashboards, and reports to support business analytics and decision-making.
Uniswap Labs builds products that help millions of people access DeFi simply and securely ‒ from the Uniswap Web App and Wallet to crypto infrastructure.
Support Finance and Payments teams with trusted, accurate, and actionable insights.
Own complex SQL/dbt modeling, build and maintain core financial datasets.
Develop Looker dashboards that support financial planning, revenue analysis, cost insights, and transaction-level reporting.
Jane is a team that's all about fostering growth, spreading delight, and serving our healthcare community by simplifying the lives of healthcare practitioners and patients daily.
As a Data Scientist at CodePath, you will work across the full analytics and modeling lifecycle, supporting data pipelines, conducting exploratory analysis, building statistical and machine learning models, and developing the insights that guide organizational strategy. You will collaborate closely with data engineering and cross-functional partners to ensure our data systems, analyses, and models enable student success, operational efficiency, and accurate impact measurement. This role is ideal for someone who enjoys solving problems in a fast-paced environment, applies clear analytical thinking, and wants to grow by supporting high-impact projects that advance CodePath’s data and AI work.
CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders.
Be on the cutting edge of structured finance and technology.
Enhance your technical skills and work closely with engineering teams.
Promote transparency and compliance in the financial markets.
dv01’s data analytics platform brings unparalleled transparency into investment performance and risk for lenders and Wall Street investors in structured products.
Analyze integrated datasets to influence business decisions.
Collaborate with stakeholders to develop solutions and deliver insights.
Identify and resolve data, process, and technical issues.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly. They objectively and fairly assess fit based on the role's core requirements, identifying top candidates for hiring companies.