Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.
Turing is seeking a Technical Business Analyst who understands both business operations and technology, with particular exposure to Controllers, Finance Operations, or Back Office environments. This role is ideal for someone who can work closely with business stakeholders, translate operational processes into clear requirements, and partner with engineering teams to deliver scalable enterprise solutions.
The ideal candidate has experience working on corporate back-office platforms supporting finance or operations functions, understands reconciliation and control processes, and is comfortable using modern AI tools to improve productivity and documentation.
You'll join a global team supporting a leading alternative investment manager with more than 30 years of proven expertise across Private Equity, Credit, and Real Assets. The business is known for its integrated platform, strong investment performance, value-oriented philosophy, and its people. You'll work closely with business stakeholders, product owners, and engineers to reduce ambiguity, improve shared understanding, and accelerate delivery — without sacrificing quality or control.
What You'll Do- Partner with Controllers, Operations, Finance, and Technology teams to understand business processes, pain points, and operational controls.
- Analyze current-state workflows involving:
- Cash reconciliation
- Position reconciliation
- Operational controls
- Exceptions management
- Approval workflows
- Financial operations
- Translate business requirements into:
- Business process flows
- Functional specifications
- User stories
- Acceptance criteria
- Data requirements
- Facilitate workshops and requirement gathering sessions with business stakeholders.
- Work closely with Product Owners and Engineering teams to clarify requirements, prioritize work, and remove ambiguity.
- Support UAT planning, test scenarios, and business validation.
- Maintain end-to-end traceability between business requirements, technical implementation, and delivered functionality.
- Document business processes and recommend improvements to increase efficiency and strengthen operational controls.
- Use AI productivity tools (ChatGPT, Microsoft Copilot, Gemini, etc.) to accelerate documentation, analysis, summarization, and research while validating outputs for accuracy and compliance.
- 8-12 years of experience as a Business Analyst, Functional Analyst, or Technical BA delivering enterprise software solutions.
- Experience working in Financial Services, Asset Management, Investment Banking, Banking, Insurance, or Corporate Finance environments.
- Strong familiarity with Controllers or Back Office Operations.
- Experience with one or more of the following:
- Cash reconciliation
- Position reconciliation
- Trade operations
- Financial controls
- Accounting operations
- Operations support functions
- Excellent requirements gathering, process mapping, and stakeholder management skills.
- Comfortable working with engineers and discussing:
- APIs
- Data flows
- System integrations
- Basic database concepts
- Strong analytical thinking with the ability to identify process gaps and operational risks.
- Excellent written and verbal communication skills.
- Ability to balance business priorities with technical constraints.
- Experience supporting Controllers, Finance, Treasury, Accounting, or Operations organizations.
- Experience implementing or enhancing corporate back-office systems.
- Basic SQL knowledge for analysis and reporting.
- Familiarity with Agile delivery methodologies.
- Exposure to workflow automation platforms, BPM tools, or event-driven architectures.
- Experience working with enterprise ERP or financial platforms.
- Understanding of audit, governance, compliance, and operational risk processes.
- Experience using AI tools to improve productivity and documentation (hands-on AI solution development is not required).
- Work on strategic platforms supporting critical Finance and Operations functions.
- Partner directly with business leaders, Product Managers, and Engineering teams.
- Help modernize enterprise back-office systems that improve operational efficiency and financial controls.
- Build expertise in highly scalable financial technology platforms while leveraging AI as a productivity accelerator.
- Join a delivery-focused team that values clarity, transparency, and practical outcomes over theater.
- Build a strong foundation in a domain where precision matters — skills that stay valuable even as tools and AI evolve.
- Use AI as a productivity multiplier while developing the human strengths it can't replace: judgment, context, trust-building, and decision-making.
$150,000 to $180,000 total cash
LocationThis role is based hybrid on-site in New York, New York
#LI-VC1
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
- Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
- Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
- Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
- Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
- Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
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