Dataset Lead, Finance & Accounting

Reinforced Learning; Town of Tonawanda (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

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.

Qualifications

• Four or more years in investment banking, equity research, corporate finance, audit or FP&A.
• Experience building and checking real models and knowing where errors hide.
• Strong writing and the ability to run a program without being told what to do next.
• Advanced spreadsheet skills and a willingness to learn light scripting.

Responsibilities

• Scoping programs with customer research teams: defining capability, task distribution and acceptance criteria.
• A bench of analysts, accountants and finance operators who contribute to the program.
• Task specifications and grading rubrics, written and refined with those contributors.
• Final review of delivered work. You are the last reader before a customer.
• Reporting on throughput, quality and what the data changed in model behaviour.

Skills

Program management

Financial modelling

Strong writing

Excel proficiency

Light scripting

Education

CFA

CPA

Tools

Excel

Job description

The role
You’ll own the datasets we build for financial work: modelling, reconciliation, audit, valuation and reporting. That means deciding which tasks matter, recruiting the practitioners who can do them properly, setting the bar for their work and delivering to customers who will check it.

What you’ll own

• Scoping programs with customer research teams: the capability, the task distribution and the acceptance criteria.
• A bench of analysts, accountants and finance operators who contribute to the program.
• Task specifications and grading rubrics, written and refined with those contributors.
• Final review of delivered work. You are the last reader before a customer.
• Reporting on throughput, quality and what the data changed in model behaviour.

What you bring

• Four or more years in investment banking, equity research, corporate finance, audit or FP&A.
• You’ve built and checked real models and know where the errors hide.
• Strong writing and the ability to run a program without being told what to do next.
• Advanced spreadsheet skills and a willingness to learn light scripting.

Helpful, not required

• CFA, CPA or an equivalent qualification.
• Experience managing contractors or analyst teams.