Mission Staffing

About the Company

Mission Staffing, Inc. is a leader in executive search. At Mission, we place permanent & temporary Accounting/Finance, HR, Administrative, Front Office and Operations professionals with many of the premier Investment Banks, Hedge Funds, Private Equity, Real Estate & CPA firms in the New York Metropolitan area. We pride ourselves on establishing a trustworthy partnership with both candidates and clients.

Listed Jobs

Company Name

Mission Staffing

Job Title

Data Operations Specialist

Job Description

Job Title: Data Operations Specialist Role Summary: Bridge provider between Portfolio Operations and IT, responsible for ingestion, transformation, validation, and monitoring of large financial data sets, ensuring data quality, identifying and resolving pipeline exceptions, and improving system performance. Expactations: • 2+ years market data experience in a financial institution. • Advanced SQL programming for data analysis, quality checks, and root‑cause investigation. • Ability to translate business requirements into technical specifications and clear documentation. Key Responsibilities: - Review security and market data to identify, resolve, and prevent data exceptions. - Monitor daily file ingestion, troubleshoot missing or delayed data, and ensure timely report generation. - Validate accuracy of data movement across internal infrastructure. - Investigate data issues, determine root causes, and collaborate with IT developers on resolutions. - Maintain documentation for recurring operational processes and recommend process improvements. - Analyze workflows to enhance efficiency, scalability, and reliability. - Gather business requirements and document data needs for system enhancements and updates. Required Skills: - Strong knowledge of financial data sets (security master, pricing, corporate actions, holdings, transactions, performance, etc.). - Advanced SQL programming (data analysis, quality checks, root‑cause investigation). - Excellent analytical and problem‑solving skills. - Ability to streamline and improve data operations processes. - Strong written and verbal communication for translating business needs into technical requirements. Required Education & Certifications: - Bachelor’s degree in Finance, Information Technology, Computer Science, or related field. - Relevant certifications (e.g., SQL Developer, Data Management, or Financial Data Analyst) preferred but not mandatory.

New york city, United states

Hybrid

Junior

04-12-2025

Company Name

Mission Staffing

Job Title

Investment Data Analyst

Job Description

Job Title Investment Data Analyst Role Summary Data-focused professional responsible for enabling portfolio management and research teams through data engineering, analytics, and reporting across multiple business units. Expections - Minimum 3 years of experience in data engineering or related roles within investment banking, asset management, or a similar financial services environment. - Proven track record of cross‑functional collaboration with portfolio managers, research analysts, and trade‑support teams. - Strong technical proficiency with SQL, Snowflake, Python, and BI/reporting platforms (SSRS, Power BI, Tableau). - Understanding of equities trade lifecycle and exposure to Bloomberg or equivalent market‑data systems. Key Responsibilities - Deliver data and reporting solutions to support the firm’s business units, frequently collaborating with PMs and research teams. - Write, test, and optimize SQL queries and maintain data pipelines in Snowflake. - Develop Python scripts for data transformation, automation, and analytical tasks. - Build and maintain dashboards and reports using SSRS, Power BI, Tableau, or comparable BI tools. - Participate in project initiatives, ensuring timely delivery across stakeholders. - Gather and process data related to the equities trade lifecycle, generating actionable insights. - Utilize Bloomberg or comparable platforms to ingest, validate, and report market data. Required Skills - SQL (writing complex queries, performance tuning) - Snowflake (data warehousing, data modeling) - Python (ETL, automation, analytics) - BI/reporting tools (SSRS, Power BI, Tableau) - Cross‑functional project support and stakeholder management - Equities trade‑lifecycle knowledge - Bloomberg or other market‑data system familiarity - Data modeling experience (strongly preferred) Required Education & Certifications - Bachelor’s degree in Computer Science, Finance, Data Science, or a related quantitative field (or equivalent professional experience).

New york city, United states

Hybrid

Junior

19-12-2025

Company Name

Mission Staffing

Job Title

AI Engineer

Job Description

**Job Title:** AI Engineer **Role Summary:** Design, develop, and deploy AI solutions that enhance investment and enterprise workflows within an asset‑management environment, focusing on LLM‑driven applications and integration with Azure services. **Expactations:** 5+ years of asset management experience; 5+ years in software engineering or machine learning with a minimum of 2 years building LLM solutions; strong analytical and stakeholder‑management skills. **Key Responsibilities:** - Build and productionize AI systems that improve investment and broader enterprise processes. - Partner with investment and research teams to identify high‑impact use cases and deliver end‑to‑end solutions. - Design, develop, and maintain LLM‑driven applications such as chatbot interfaces and workflow automation tools. - Integrate internal and external data sources via APIs and ensure scalable, secure deployment on Azure. - Support the long‑term growth of the AI capability, particularly for investment‑focused initiatives. **Required Skills:** - 5+ years of experience in investment/asset management. - 5+ years of software engineering and/or machine learning experience, including 2+ years with LLM development. - Proficiency in Microsoft Power Platform (Power Apps, Power BI). - Hands‑on experience with the OpenAI ecosystem (ChatGPT Enterprise, Azure OpenAI, GPT APIs, Custom GPTs). - Strong SQL development and data‑management skills. - Familiarity with Azure cloud services, APIs, and security best practices. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

New york city, United states

Hybrid

Mid level

05-01-2026