Similar Jobs
Cloud • Mobile • Software
Lead end-to-end delivery of complex enterprise SaaS implementations: define scope, timelines, governance; manage stakeholders and cross-functional teams; maintain timelines, risk logs, and change control in Salesforce; drive on-time go-lives, customer satisfaction, and handoff to Customer Success while improving implementation processes.
Top Skills:
CRMSalesforce
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Lead development of AI-powered patient experiences: LLM-driven intake and therapist matching, between-session support, evaluation and safety infrastructure, outcome measurement, and HIPAA-compliant product delivery. Partner with Engineering, ML, Data Science, Clinical, and Legal to ship and monitor models in production, write evals, design red-teaming and human-in-the-loop flows, and measure patient outcomes.
Top Skills:
Evaluation FrameworksFine-TuningHipaa-Compliant ArchitectureHuman-In-The-Loop SystemsLlmsPrompt ChainsPrompt EngineeringRag (Retrieval-Augmented Generation)
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead strategy and roadmap for AI-powered SaaS features; collaborate with engineering, data science, UX, and GTM teams to define problems, run discovery and experiments, manage backlogs, deliver product outcomes, and drive post-launch adoption and performance improvements.
Top Skills:
Ai/MlSaaS
Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
We are seeking a Reporting BI Developer to join our technology team and support data-driven decision-making across our hedge fund operations. This role will focus on developing and maintaining reporting solutions, automating data workflows, and integrating various financial and operational data sources. The ideal candidate will have strong technical skills in Power BI, Python (Pandas), web development (Node.js & Flask preferred), R, AWS, and databases, along with business analytics expertise in fund operations. A financial background is strongly preferred.
Responsibilities:
- Develop and Maintain Reports: Build interactive and automated dashboards in Power BI to provide insights for portfolio managers, risk teams, and operations.
- Data Analysis & Processing: Use Python (Pandas) and R for data transformation, statistical analysis, and reporting.
- Web-Based Reporting Solutions: Develop lightweight web applications using Node.js and Flask to deliver financial and operational insights.
- AWS Cloud Integration: Leverage AWS services such as S3, Lambda, RDS, EventBridge, SNS, and Step Functions to manage data workflows and reporting pipelines.
- Database Management: Design and optimize SQL and NoSQL databases to ensure efficient data retrieval and storage for reporting solutions.
- Automation & Workflow Orchestration: Automate data collection, transformation, and reporting processes using AWS and scripting techniques, as well as Power Query, Power Automation.
- Business Analytics & Fund Operations: Collaborate with front-office, middle-office, and back-office teams to translate operational and portfolio data into actionable insights.
- Performance Optimization: Enhance the efficiency of data models, ETL pipelines, and dashboards for real-time and batch reporting.
Required Skills & Qualifications
- 5+ years of experience in a similar role
- Experience with Microsoft Fabric – implementing, data streaming, and real time reporting
- Power BI – Strong experience in building interactive dashboards, DAX queries, and Power Query.
- Python (Pandas) – Proficient in data wrangling, analysis, and scripting.
- Web Development – Experience in Node.js and Flask preferred.
- R Programming – Familiarity with statistical analysis and reporting in R.
- AWS – Hands-on experience with AWS services like S3, Lambda, EventBridge, SNS, Step Functions.
- Database Management – Strong SQL skills and experience with relational databases (PostgreSQL, MySQL) and NoSQL solutions
- Experience in hedge fund, asset management, or financial services is strongly preferred.
- Understanding of fund operations, portfolio analytics, and risk reporting.
- Strong problem-solving and analytical mindset.
- Excellent communication skills to work with stakeholders across technology, investment, and operations teams.
- Ability to work in a fast-paced environment with tight deadlines.
Preferred Qualifications
- Experience with CI/CD pipelines and DevOps practices.
- Knowledge of quantitative finance, risk management, and trading systems.
- Exposure to machine learning or data science applications in finance.
Salary Range
$100,000—$200,000 USD
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
