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FP&A Associate

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Published
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9 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

Nivoda is hiring an FP&A Associate to strengthen financial planning, growth analytics, forecasting, management reporting, and board-level decision support within a fast-growing B2B marketplace and fintech platform. The role partners closely with the CFO, FP&A Lead, Accounting, Treasury, and Go-to-Market leadership to translate operational metrics into actionable financial insight. Core work includes cohort modelling, unit economics, GTM efficiency analysis, three-statement forecasting, annual planning, and scenario modelling. The associate will also improve finance data quality and automate reporting using Claude, Snowflake, NetSuite, and ThoughtSpot. This is an operational finance role for a quantitatively strong early-career professional moving from investment banking, investing, consulting, or corporate finance.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role requires rigorous financial modelling across cohorts, GTM performance, P&L, balance sheet, and cash flow while operating in a rapidly scaling, ambiguous environment. It also demands the ability to turn complex analyses into clear recommendations for operators, executives, and the Board.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive
$117,500
US market range$100k–$135k
AI insightNo actual salary or compensation range is disclosed in the listing. These figures are estimated USD yearly US-market compensation for an FP&A Associate with 2-4 years of investment banking, private equity, venture capital, consulting, or corporate-finance experience; actual compensation may differ by work location, company stage, bonus structure, and equity.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you build a cohort model for a B2B marketplace with customers, suppliers, and multiple product lines?

I would first establish consistent cohort definitions, such as first transaction month, customer segment, region, and product category. I would track retention, repeat purchase behavior, spend, gross margin, contribution margin, and expansion over time, then reconcile the model to source-of-truth financial data. Finally, I would segment results to identify which cohorts and operational levers are driving durable growth.

Describe how you would diagnose whether growth is coming from volume, pricing, mix, FX, or existing-customer expansion.

I would create a growth bridge that reconciles the prior period to the current period and isolates each driver. This would include new versus existing customers, transaction volume, average selling price, product and geographic mix, foreign-exchange effects, and churn or contraction. I would validate results with commercial owners and use the bridge to recommend where to invest, correct leakage, or revise the forecast.

How would you evaluate a proposal to hire additional sales representatives in a new territory?

I would develop a business case with hiring and enablement costs, ramp assumptions, pipeline creation, conversion rates, average deal economics, retention, and contribution margin. I would model base, upside, and downside scenarios, calculate payback and return metrics, and compare the proposal with alternative uses of capital. After approval, I would define leading indicators and a regular review cadence to test whether assumptions are holding.

What is your approach to producing a reliable monthly forecast and explaining variance to plan?

I would use actuals, leading operational indicators, and input from functional owners to refresh key assumptions each month. The forecast would connect revenue and unit-economics drivers to the P&L, balance sheet, and cash flow, with clear ownership for material assumptions. For variance analysis, I would separate timing effects from structural changes and communicate the financial impact, root cause, risks, and recommended actions.

How would you use AI and data tools to improve an FP&A reporting process without compromising data quality?

I would begin by defining controlled data sources, metric definitions, reconciliation checks, and approval points. I would use AI to accelerate repeatable tasks such as data preparation, narrative drafting, variance investigation, and report production, while keeping financial judgement and final validation with the finance team. I would document the workflow, monitor exceptions, and continuously improve it based on accuracy, cycle time, and stakeholder feedback.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

Location: Stockholm, London, or Remote EU

Function: Finance / FP&A

Employment type: Full-time

Reporting Line: Finance, working closely with the CFO, FP&A Lead and Accounting, as well as our Go-to-Market- and EPD leadership.

About the Company

We are a fast-growing AI-enabled B2B Marketplace and FinTech platform with a global footprint spanning the US, Europe, India and APAC. We connect online and offline businesses across the Jewellery industry, streamline complex diamond, gemstones and jewellery supply chains and logistics corridors, and process high transaction volumes across multiple currencies and payment rails. As we continue to scale, having sharp strategic financial analysis and decision support are critical enablers of our growth.

Role Overview

We are looking for an FP&A Associate who wants to move into a high visibility, operational role from the world of IB and / or VC finance, and use that move to compound their craft by working inside a fast-paced, high-growth, technology-led platform business. This role is ideal for someone who has spent 2 to 4 years in investment banking, private equity, venture capital or other similar corporate finance roles, and now wants to learn how a business actually gets built: how cohorts compound, where unit economics break, which GTM motions earn the right to scale, and what board-grade narratives and analyses look like when it is your job to own them.

You will own cohort- and growth analytics for the company, partner with our Go-to-Market team to find efficiencies and unlock compounding growth, and make sure that core reporting to management, the wider company, and our Board lands on time and at quality. You will help take our FP&A function from 1 to 5; we have broken ground, and you will help build the rest.

You will also be one of the early operators inside an AI-native finance and data function. The team works mainly with Anthropic’s Claude platform, with Snowflake as our data warehouse, NetSuite as our ERP, and ThoughtSpot as our BI layer. You can be based in Stockholm, London or Remote EU, and you will work closely with the CFO, FP&A Lead, Accounting, Treasury and our GTM leadership.

Key Responsibilities

1. Cohort Modelling & Growth Analytics: Build and maintain cohort models across customers, suppliers, product lines (jewellery, diamonds, gemstones) and regions

Decompose growth into rate and base effects (new vs. existing, price vs. volume, mix shifts, FX) so we know which lever is doing the work.

Produce the analytics that determine where we lean in, where we cut, and where we wait.

2. GTM Partnership & Commercial Efficiency: Partner with Sales, Account Management, Marketing and RevOps to build the operating cadence: pipeline math, conversion rates, ramp curves, productivity per rep, CAC and LTV by segment.

Identify where the GTM machine is leaking efficiency (channel mix, segment ROI, discounting, comp plan distortions, hand-off points) and work with the team to fix it.

Build the business cases for hiring, territory expansion, TAM/SAM/SOM, pricing changes and new GTM motions, and stay close enough to the team to know if the assumptions are holding.

3. Core Reporting & Cadence: In partnership with / by leveraging the Finance teams AI agents, own the core management reporting pack: recurring KPI read-outs, monthly P&L and KPI commentary, and quarterly business reviews. Make sure they land on time, every time.

Build and maintain the company-wide reporting that goes to the team in our all-hands and async updates, so everyone has a shared view of how we are doing.

Co-own the board reporting cycle with the rest of FP&A: The deck, the data behind it, the commentary, and the running narrative quarter to quarter.

4. Forecasting, Planning & Budget Cycles: Maintain and improve our short-term forecasts (monthly re-forecasts) and the annual operating plan, in partnership with department leads.

Translate operational assumptions into a coherent P&L, balance sheet and cash flow view, and pressure-test how the assumptions hold up against actuals.

Run scenario and sensitivity analysis so leadership understands the path, the downside, and the unlock.

5. Decision Support & Business Cases: Be the finance partner across cross-functional projects (pricing, supplier terms, market expansion, product launches, hiring plans), bringing rigour without slowing the team down.

Build the models that turn a debate into a decision, and stay close enough to the work to know whether the model is reflecting reality.

6. AI-Native Tooling, Data & Process Improvement: Use Anthropic’s Claude platform (Claude Code, Claude Cowork, Claude Design, etc) as your default working environment for analysis, modelling and reporting automation.

Help raise the bar on data quality and consistency across Snowflake, NetSuite and ThoughtSpot, so the same number means the same thing wherever you find it.

Identify opportunities to automate recurring reporting and analysis through AI-native workflows, and contribute to the playbooks the rest of the function uses.

Qualifications & Experience

Must-have

  • Bachelor’s degree in Finance, Economics, Engineering, Mathematics or a related quantitative field.

  • 2-4 years of experience in investment banking, private equity, venture capital, or a similar corporate finance role, top-tier strategy consultancy with strong financial modelling exposure.

  • Strong financial modelling and Excel skills, including cohort analysis, three-statement modelling, and unit economics work.

  • Solid grasp of how operational drivers flow through P&L, balance sheet and cash flow, and the ability to translate that into clear, decision-ready output.

  • An interest in moving to the operator side and building inside a high-growth marketplace, with the discipline to learn the business from the inside out.

  • Comfort with AI-native ways of working, or the curiosity to learn about using Anthropic’s Claude platform as part of your daily workflow.

Nice-to-have

  • Exposure to B2B marketplaces, fintech, or payments-heavy businesses.

  • Hands-on experience with Snowflake, NetSuite, ThoughtSpot, or comparable data, ERP and BI tools.

  • SQL skills, or willingness to learn.

  • Experience working alongside Go-to-Market teams (Sales, Marketing, RevOps) on commercial analytics or planning.

Skills & Competencies

  • Strong analytical and quantitative skills; able to dissect complex data and produce clear, practical insight that travels well across audiences, from analyst to board.

  • High attention to detail, with a strong sense of ownership and accountability for the numbers you put in front of leadership.

  • Ability to connect operational reality to the financials and clearly articulate the “so what” to Operators and to the Board.

  • Strong communication skills; able to work cross-functionally with GTM, Operations, Accounting, Treasury and the Exec team.

  • Comfortable operating in a fast-paced, scaling environment with evolving processes and systems, and bias for building rather than waiting.

  • Integrity and sound judgement in handling confidential financial and commercial information.

Apply now >

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