Statistics assistant
| Highest | $4,000 / mo · Switzerland |
|---|---|
| Experience | 0–1 yrs |
| Degree | Required |
| First paycheck | 4 years of bachelor's study |
Pay in the destination countries
Monthly, in US dollars. Each country is an Imora admission package — open one for that route's fees, language requirement and deadline.
| Country | Monthly |
|---|---|
| SwitzerlandIELTS 6.5 · CHF 0.9–8k | $4,000max |
| Hong KongIELTS 6.0–6.5 · HK–200k | $3,500 |
| SingaporeIELTS 6.5 · SGD 18–35k | $3,500 |
| United KingdomIELTS 6.0–7.0 · £11–38k | $3,500 |
| United StatesTOEFL 80–100 · $10–70k | $3,450 |
| NorwayIELTS 6.0–6.5 · NOK 130–260k | $3,350 |
What does the day look like?
About 60% of your working day is spent extracting, reconciling, and cleaning quarterly or monthly transaction dumps, loss ratios, and policy records from administrative databases. Another 20% involves checking tabular integrity in Microsoft Excel: resolving lookup errors, running VLOOKUP, XLOOKUP, pivot tables, SUMIFS, and writing baseline validation formulas. You spend 10% of the day running predefined regression, trend, or loss-ratio templates in R, SAS, Python, or SQL without designing models from scratch, and the remaining 10% formatting monthly internal management tables, variance reports, and compliance summaries for senior actuaries and risk officers.
The reality differs from expectations of solving complex financial puzzles or building predictive AI. Roughly 80% of daily time consists of routine data cleaning, correcting formatting anomalies, handling missing CSV inputs, and standard table population, with the remaining 20% devoted to basic regression outputs and routine documentation. The schedule is a standard office week of 38 to 40 hours. Shift work, night shifts, and emergency on-call duties are virtually non-existent, though workload surges occur around quarterly and annual financial closing dates.
Where does this lead?
Next step up
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