FinStrat Management

The Role FinStrat Management (“FSM”) is seeking a motivated individual to join our team as a client-facing Staff Accountant. This is a full-time remote role supporting accounting operations and financial reporting for a number of FSM clients. Responsibilities Assist monthly financial close and related activities for clients Account analysis and reconciliation Invoice client’s customers and manage client accounts receivables Process client’s accounts payable including approval workflows Communicate and reporting to tax agencies Address client and 3rd party inquiries Ad hoc analysis and reporting Ensure assignments meet the firms’ quality standards Identify and communicate engagement matters to clients, managers and partners Provide five-star client service Job Requirements Professional Knowledge 3+ years of professional accounting experience Invoicing, accounts receivable management & collections Accounts payable entries and issue resolution Account reconciliation including accruals & prepaid expense analysis Proficiency with web-based accounting software applications High level of proficiency with Microsoft Excel Strong analytical skills Soft Skills Professional working proficiency in English is required Ability to handle multiple engagements simultaneously Commitment and ability to meet critical business deadlines Self-starter with strong organizational skills Exceptional attention to detail Excellent research and problem-solving skills Strong communication and social skills Able to receive constructive feedback Comfortable working in a dynamic environment Education Degree in Accounting/Finance, or requisite work experience Benefits and Perks Unlimited vacation Ongoing education and training Bonuses

The Role FinStrat Management (“FSM”) is seeking a motivated individual to join our team as a client-facing Fund Accountant to manage fund operations for the Venture Capital and Private Equity Funds within the company’s Fund Administration division. Responsibilities Help ensure client service delivery for fund accounting and administration operations Account analysis and reconciliation Help provide leverage to our clients by understanding and prioritizing their needs while effectively scaling our services. Prepare capital calls, distribution calculations, and investor capital account Participate in the annual preparation of year-end workpapers and tax schedules Prepare financial statements and footnotes in accordance with GAAP for internal funds Assist in the preparation of tax estimates and tax returns for the funds Ad hoc analysis and reporting Ensure assignments meet the firms’ quality standards Identify and communicate engagement matters to clients, managers and partners Provide five-star client service Job Requirements Professional Knowledge 3+ years of professional fund accounting experience, preferably in venture capital, private equity, public accounting, asset management, or hedge funds 1+ years of professional experience using QuickBooks Online Experience interpreting and understanding Limited Partnership Agreements, Private Placement Memorandum High level of proficiency with Microsoft Excel Strong analytical skills Soft Skills You have strong critical thinking and problem-solving skills, and accurately judge when to make decisions and when to escalate them Professional working proficiency in English is required Ability to handle multiple engagements simultaneously Commitment and ability to meet critical business deadlines Self-starter with strong organizational skills Exceptional attention to detail Excellent research and problem-solving skills Strong communication and social skills Able to receive constructive feedback Comfortable working in a dynamic environment Education Degree in Accounting/Finance, or requisite work experience Benefits and Perks Unlimited vacation Ongoing education and training Bonuses

The Role We are looking for a highly skilled Data Engineer with strong expertise in Python programming, data processing, and analytical problem-solving. This role requires a blend of analytical skills, engineering capabilities, and hands-on data manipulation to derive actionable insights, build efficient pipelines, and support data-driven decision-making across teams. Responsibilities Data Exploration & Analysis: Analyze large and complex datasets to extract meaningful insights and drive decision-making processes. Identify data trends, anomalies, and opportunities for improvement within datasets and communicate findings clearly to stakeholders. Collaborate with cross-functional teams to understand business requirements and transform them into technical solutions. Data Pipeline Development Design, develop, and maintain robust data pipelines for efficient data ingestion, transformation, and storage. Optimize and automate data workflows to improve data availability, quality, and processing efficiency. Implement ETL (Extract, Transform, Load) processes to support analytics and reporting needs. Data Modeling & Feature Engineering Build, validate, and maintain data models to support machine learning and statistical analysis needs. Engineer and preprocess features for machine learning algorithms and ensure data quality and consistency. Develop scalable solutions for feature storage, retrieval, and real-time model serving. Programming & Scripting Write efficient, scalable, and well-documented Python code to support data engineering and analysis tasks. Collaborate on code reviews, optimize code performance, and apply best practices in coding and version control. Use Python libraries (e.g., Pandas, NumPy, SQLAlchemy) to streamline data workflows and support analysis. Performance Optimization & Troubleshooting Monitor, troubleshoot, and enhance the performance of data systems and pipelines. Address data integrity and pipeline issues promptly to ensure reliable data availability and system uptime. Implement monitoring and logging to preemptively detect and resolve issues. Collaboration & Communication Work closely with data scientists, analysts, and other engineers to develop cohesive data solutions. Translate complex technical issues into non-technical language for clear communication with stakeholders. Contribute to documentation, data standards, and best practices to foster a data-centric culture. Job Requirements Technical Skills: Strong proficiency in Python and familiarity with data processing libraries (e.g., Pandas, NumPy, PySpark). Experience with SQL for data extraction and manipulation. Data Engineering Knowledge: Experience in designing, building, and managing data pipelines, ETL workflows, and data warehousing solutions. Statistical & Analytical Skills: Ability to apply statistical methods for data analysis and familiarity with machine learning concepts. Problem-Solving Mindset: Proven ability to troubleshoot complex data issues and continuously improve workflows for efficiency and accuracy. Communication: Effective communication skills to convey data insights to technical and non-technical stakeholders alike. Bonus: Experience with cloud platforms (e.g., AWS, GCP), containerization (e.g., Docker), and orchestration tools (e.g., Airflow) is a plus.\ Preferred Education & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. 3+ years of experience in a data science or data engineering role. Benefits Compensation commensurate with experience Unlimited vacation Ongoing education and training Bonuses and profit-sharing

The Role FinStrat Management (“FSM”) is seeking a motivated individual to join our team as a Senior FP&A Analyst. This is a full-time remote role. Responsibilities Execute research and financial analysis Develop analysis on budgets, forecasts and sales margins Conduct small-scale projects, and ad hoc analysis and reporting Generate forecasts and analyzes trends for financial and strategic planning purposes Create financial models of “what if” scenarios to help future business planning decisions Provide support for pricing and sales Provide interpretation of financial data in spreadsheets, charts, and reports Identify and resolve discrepancies in data Assist in development and delivery of various reporting packages Prepare financial deliverables, correspondence and filings Ensure assignments meet the firms’ quality standards Review, analyze and consolidate data from multiple sources Work closely with CFO and Controller teams Communicate engagement matters to managers and partners Provide five-star client service Job Requirements Professional Knowledge Ability to assemble, communicate and present information clearly Proficiency in Microsoft Excel and Google Sheets Excellent verbal, written and interpersonal communication skills Must exhibit strong analytical / critical thinking skills Solve problems using a detailed and well-ordered approach Be attentive to detail, maintain standards and actively check for data accuracy before conveying final work product Soft Skills Ability to handle multiple engagements simultaneously Commitment and ability to meet critical business deadlines Self-starter with strong organizational skills Exceptional attention to detail Excellent research and problem-solving skills Strong technology and software acumen Comfortable learning new software programs Able to receive constructive feedback Comfortable working in a dynamic environment Education Bachelor’s degree in Accounting, Business, or Finance and at least two years of relevant experience CFA and/or CPA preferred but not required (the company will reimburse exam costs following successful completion) Benefits and Perks Unlimited vacation Ongoing education and training Bonuses