Hard Skills Tech Interview Questions in Finance | usaf salary chart

Career infographic titled "Hard Skills Tech Interview Questions in Finance". Archetype: INTERVIEW QUESTIONS deck. Editorial LinkedIn-magazine illustration, minimal corporate style, dark mode palette, clean grid layout, sleek finance-tech visuals, subtle data motifs, modern sans-serif typography, high contrast panels, no real company logos as endorsements, no discriminatory framing. Create 7 labeled sections in English with concrete actionable tips: 1) Header panel with title and short subtitle about technical interviews for finance roles. 2) Programming Questions: Python, SQL, APIs, data structures, version control; include sample question cards and brief answer tips. 3) Data & Analytics Questions: data cleaning, dashboards, ETL, Excel modeling, statistical reasoning; include actionable preparation bullets. 4) Finance Systems Questions: trading platforms, risk systems, ERP, market data feeds, automation workflows; include practical scenario prompts. 5) Cybersecurity & Compliance Questions: access control, encryption basics, audit trails, GDPR, financial data handling; include do/don't callouts. 6) System Design & Infrastructure Questions: cloud basics, latency, scalability, databases, monitoring, disaster recovery; include interview answer framework. 7) Example Salary Snapshot in Finance Tech: bar-chart style mini panel with clearly labeled illustrative numbers only, such as "Junior Finance Tech Analyst — example €45,000", "Mid-Level Data Engineer — example €68,000", "Senior Quant Developer — example €95,000", "Lead Platform Engineer — example €115,000". Add small callout cards throughout with concrete tips like "Explain trade-offs", "Quantify impact", "Use STAR for project examples", "Show secure handling of financial data", "Practice whiteboard SQL", "Mention testing and monitoring". Include a subtle visual nod to search intent through abstract salary-chart imagery only, without rendering that phrase as on-image text. All text MUST be written in English (array). Every heading, label, caption, legend and metric name in the image must be in English — not English. Spell each English word correctly using English characters and diacritics. Numbers stay as digits, no real company logos as recommendations, no watermarks No real company logos as endorsements. Illustrative salary numbers labeled as example. No discriminatory framing.