Senior Financial Analyst

Gen Digital

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$115,000–$130,000 / yr
Posted
21 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $151k
This role $122k
$106k most similar roles pay here $197k

This role pays less than 74% of similar roles. Most pay $121,937–$179,750 — the shaded band above. At the midpoint, this role pays about $122k versus about $151k for comparable roles.

Based on 240 similar postings.

Employer

About Gen Digital

Gen Digital is a US-based consumer cybersecurity company formed by the merger of NortonLifeLock and Avast. It sells identity protection, antivirus, VPN, and privacy software under the Norton, Avast, AVG, Avira, LifeLock, ReputationDefender, and CCleaner brands.

Gen Digital currently has 23 open roles on FindRole.

Listed pay typically runs $172,240–$190,140 across 16 roles with salary data.

Most-posted roles

View all roles at Gen Digital

At a glance

TL;DR · Senior Financial Analyst

The Senior Financial Analyst is an individual contributor role within MoneyLion’s Analytics & Decisioning team. This position sits at the intersection of financial analysis and data engineering, where the analyst will own specific reports, analyses, and data pipelines to support accounting, forecasting, and customer economics. Day-to-day responsibilities include maintaining reporting workstreams, documenting business logic for financial models, translating accounting principles into technical models, and building cohort-level analyses for CLR and LTV measurements. The role involves tracking membership program economics, monitoring forward flow pricing models, and developing Python-based workflows for scenario analysis. To succeed, the candidate must possess strong SQL skills, experience with dbt, proficiency in Python libraries like pandas and numpy, and a solid understanding of accounting principles. This role solves complex problems regarding customer health metrics and revenue recognition within a fintech environment.

What you'll do

  • Own and maintain recurring financial reporting workstreams and dashboards for accounting and FP&A teams.
  • Translate complex accounting principles into SQL and dbt models to ensure data traceability.
  • Build and maintain cohort-level analyses to measure CLR and LTV across customer segments and products.
  • Develop Python-based analytical workflows for financial modeling and scenario analysis tasks.
  • Track Membership program economics, including member engagement, product attach rates, and incremental revenue.
  • Monitor and maintain forward flow pricing models.
  • Produce regular reports on customer health metrics with clear interpretations and actionable next steps.

What we're looking for

  • Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related quantitative field.
  • 3+ years of experience in financial analysis, FP&A, or quantitative analytics.
  • Strong SQL skills for querying and transforming large financial datasets.
  • Proficiency or growing proficiency in Python for financial modeling and data manipulation using pandas and numpy.
  • Working knowledge of accounting principles including revenue recognition, accruals, and period-close processes.
  • Experience with dbt (preferred).
  • Data visualization skills to build dashboards in tools like Tableau or Looker.
  • Ability to develop Python-based analytical workflows for financial modeling and scenario analysis.

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