Financial Analyst & AI Engineer

• 05 octobre 2026
• 100%
• Indefinite duration
• CHF 78-000 min. /year
• english (Fluent), french (Intermediate), russian (Native language)
• Rue du Marché 3, 1204 Genève

Merion Swiss Partners SA

Genève, Suisse

About us ###

Founded in Genève in 2019, Merion is an independent wealth management company regulated by FINMA. We offer bespoke portfolio management based on independence, transparency, collaboration, and stability.

We are looking for a high-potential entry-level / junior professional to design and implement next-generation automated management tools within our existing framework, as well as to contribute to financial and investment analysis, research, and the development of the Company's internal analytical tools.

Innovation & Artificial Intelligence ###

• Local privacy-focused AI engine: a 100% offline, local AI assistant that securely analyzes PDFs, performs intelligent searches in internal files, and summarizes news sentiment without data leakage.
• Internet mitigation tool: develop a KYC AI tool that aggregates internet and AI searches in multiple languages and alphabets (Latin and Cyrillic).
• Contribute to the adoption of AI and automation capabilities in research workflows.
• Company visibility via AI: improve the Company's visibility in the field of wealth and investment management on Google and via AI tools such as ChatGPT or Claude.

Research & Analytics Tools ###

Proprietary Solution for Equities and Bonds

• Create a proprietary analysis and research database that automates pipeline tracking from multiple sources within the Company's internal investment universe.
• Build a filtering and data solution based on the database that returns data such as daily prices, stops and targets based on technical and/or sentiment analysis, news, descriptions (EN/FR), investment or disinvestment motives, ratings, and default risks.
• Automate data collection to support financial research activities.
• Transform the solution into an end-user interface technology.
• Work closely with end users to understand their needs and continuously improve the solution.

Proprietary Solution for Structured Products

• Create a proprietary analysis and research database for Structured Products and their underlyings.
• Filter underlyings and return a live one-page format with key information, P&L, autocall or adverse scenario probabilities, and issuer default risk.

Financial Analyst ###

• Analyze and challenge data from the analysis database, particularly regarding buy and sell signals or recommendations, and potentially mitigate associated risks. Ensure data quality, integrity, governance, and accessibility on the research platform.
• Investment research: evaluate emerging technologies relevant to financial research and data analysis.
• Modular portfolio dashboard: an interactive desktop interface (Streamlit) to build portfolio profiles, apply rules, ranges, currencies, markets, etc., and perform backtests based on the Company's universe.
• Support the evaluation of investment opportunities through fundamental and quantitative analysis, including financial ratios, historical performance, risk factors, and market data.
• Use Python, SQL, Excel, and other analytical tools to automate financial analysis, reporting, and recurring investment monitoring processes.
• Contribute to the development and continuous improvement of internal financial research methodologies, analytical models, and the Company's investment monitoring framework.

Administrative support ###

• Translation of internal and sensitive documents from English to Russian.
• Support for the Company's business introducers via KYC, KYT, and FINMA standards (RU / FR / EN).
• Possibility to develop the Company's clientele.
• Management of the Company's website.

Your profile ###

Financial & Investment Analysis

• Ability to combine financial reasoning with quantitative and data-driven approaches and to translate analytical results into clear conclusions for investment professionals.
• Strong analytical skills and ability to work with financial and market data from multiple sources.

Data & Programming

• Financial data extraction and retrieval: proven experience in financial web scraping (Beautiful Soup, Selenium) and automated daily data parsing in local Excel/SQL environments.
• Implementation of tools & interfaces: practical experience in setting up functional desktop dashboards and UI analytical tools using Python (Pandas, NumPy) and frameworks such as Streamlit.
• Quantitative modeling: constrained portfolio optimization, multi-currency conversions, and historical backtesting metrics, including Sharpe ratio and volatility. Previous experience in supporting quantitative asset pricing or empirical research on risk factors is highly appreciated.
• Local AI/NLP: implementation of secure offline LLMs via LangChain or LlamaIndex to process data entirely on-site. Specific exposure to building custom text preprocessing tools, PDF extraction, and news sentiment scoring engines is ideal.

Education

Master in Finance or Quantitative Finance