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Finance Data Lead: Modeling, Reconciliation & Audit

Posted today

reinforced learningTonawanda (NY)

SENIORITY

Mid

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About the role

Reinforced Learning seeks a program owner to shape and govern datasets used for financial work including modelling, reconciliation, audit, valuation and reporting. You will recruit practitioners, set performance standards and deliver outcomes that meet customer expectations. You will lead an analyst and finance-operations bench, define task rubrics, and perform final reviews before customers, while reporting on throughput and data-driven model changes.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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