Technical Business Analyst

Turing•New York, NY

62d•Onsite

About The Position

Turing is seeking a Technical Business Analyst to bridge the gap between Operations and Finance and the practicalities of software development. This role involves understanding current workflows, identifying pain points, and translating business needs into clear, testable requirements for engineering teams. The analyst will work with a leading alternative investment manager, collaborating with business stakeholders, product owners, and engineers to reduce ambiguity, enhance understanding, and accelerate delivery while maintaining quality and control.

Requirements

A track record of leading business analysis or requirements work on real software delivery projects.
Strong discovery and requirements skills — you move from conversations to structured, testable requirements quickly.
Comfort in technical discussions: APIs, data flows, basic system behavior, and knowing the right questions to ask engineers.
Excellent written communication — your artifacts are clear, concise, and immediately usable by both engineering and business partners.
Strong stakeholder management — you build rapport, handle conflict professionally, and create alignment without force.
The ability to think in workflows and data: process mapping, edge cases, exceptions, and operational controls.
High integrity and maturity — you are transparent, consistent, and trusted, especially under pressure.
An independent operator who can own a project end to end with minimal oversight.

Nice To Haves

Experience in operations, finance, accounting, or control-oriented domains (reconciliations, reporting, hand-offs, approvals).
Familiarity with agile delivery (stories, backlogs, iteration planning), while staying comfortable in less mature environments.
Experience working with data stores and queries (SQL basics), or partnering on reporting and analytics needs.
Exposure to event-driven or workflow-based systems (messaging, orchestration) and an understanding of how these affect requirements and audit trails.

Responsibilities

Lead discovery with stakeholders to understand current-state workflows, pain points, controls, and desired outcomes.
Distill ambiguity into clarity by writing crisp problem statements, scope boundaries, assumptions, risks, and success measures.
Translate business needs into delivery-ready artifacts: process flows, user stories, acceptance criteria, and non-functional requirements.
Partner with engineers and product owners to refine requirements, resolve tradeoffs, and keep execution unblocked.
Support testing and validation by defining test scenarios, helping coordinate UAT, and ensuring delivered features match intent.
Maintain traceability: align requirements to outcomes and support auditability where needed (controls, approvals, data lineage).
Use AI tools responsibly to accelerate analysis and documentation — summarization, drafting, comparison, and gap analysis — while validating accuracy and protecting sensitive information.
Communicate clearly and consistently, sharing status, decisions, and open questions in a way that builds trust.