Design and build front-office quantitative tools and infrastructure supporting portfolio managers, traders, and alternative asset managers across fixed income and credit strategies.
Develop and maintain data ingestion and processing pipelines integrating data from major financial vendors.
Build and enhance portfolio analytics, optimization frameworks, and simulation environments for portfolio construction, risk analysis, and strategy implementation.
Design, build, and maintain quantitative analysis tools for credit, market, and liquidity risk assessment
Build scalable analytics pipelines in Python to automate reporting, data transformation, and real-time risk monitoring
Execute portfolio margin stress tests and scenario analysis under tight timelines, delivering actionable insights to stakeholders
Anchorage Digital is building the world’s most advanced digital asset platform for institutions to participate in crypto. The company is funded by leading institutions including Andreessen Horowitz, GIC, Goldman Sachs, KKR, and Visa, with its Series D valuation over $3 billion. The team brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem.
Managing the day-to-day Fixed Income Ops workflow.
Mitigating credit risk by monitoring Treasury and MBS exposure and funding margin calls.
Overseeing trade monitoring and reconciliation of the firm’s repo positions.
DV Trading is a global financial services firm that uses its own capital and trading strategies to provide liquidity to worldwide financial markets. Founded 20 years ago in Chicago, the DV group has grown to approximately 600 people operating throughout North America, Europe, the UAE, and Asia.
Automate and streamline secure data transfer between cloud and on-prem systems
Enhance laboratory testing programs to import/export data in a computer literate format
Design and implement Python-based data ingestion pipelines to support scalable and efficient data processing
Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and industry. In 2024, Sika’s around 33,000 employees generated annual sales of CHF 11.76 billion.
Collaborate with Trading Operations, Risk, and Data Science to define and execute the trade, risk, and operations roadmap.
Improve the day to day trading experience and lead improvements for the product experience directly related to risk and trading.
Build and manage tools that empower Risk Operations teams to update rules and manage queues independently.
Acorns is a financial wellness app that helps everyday people and families save and invest money for the long term. Since 2014, Acorns has grown into a global company with multiple life-stage products serving the needs of kids, teens, adults, and parents.
Design, develop, and maintain scalable backend services using Python.
Build and optimize data pipelines and ETL workflows.
Design and implement REST APIs and internal service integrations.
SD Solutions is a staffing company operating globally. Wider (ex. HyperAd) is a fast-growing platform that automates creative optimization through machine learning, enabling global brands to scale high-performing ads using data-driven automation.
Develop and iterate realistic prompts to test the relevance and quality of AI-generated insights.
Systematically evaluate divergence between professional investment reasoning and AI outputs.
Translate how institutional investors evaluate securities into problems that push the limits of AI reasoning.
Mentis AI works at the intersection of institutional investment expertise and frontier AI systems. Their team combines deep asset management experience with machine learning and applied AI research.