Can your surveillance understand how Nordic traders actually talk?

At Nordic firms, front-office communications are multilingual by default, with employees switching between their local language and English frequently. Voice-based conversations add dialects and regional variations into the mix, so surveillance solutions that are built for English or reliant on keyword lists could miss genuine risk.

These factors could make language coverage a substantive risk if compliance teams don’t have surveillance tools that support them. What should Nordic firms keep in mind when searching for a surveillance solution that can support their communication needs?

Code-switching: The Nordic default

Code-switching is simply switching between languages within a conversation, or even a single sentence. In Nordic financial markets, this communication style has become a form of professional shorthand. Traders may speak in their native language for most of a conversation but use English vocabulary or terms related to trading within communications. 

To understand how easily this switch happens in daily operations, and the compliance implications if these communications are incorrectly transcribed, consider these examples:

Swedish English

A trader tells a colleague they need to enter their remaining orders before market close, with the conversation mainly in Swedish except for the English phrase “market close.”

The statement is innocent and refers to placing orders before the market closes. But in fast speech, particularly when English terminology is used in a Swedish sentence, a voice surveillance system could potentially misinterpret “market close” as “mark the close.” “Marking the close” is a form of market manipulation where a trader(s) attempts to influence the closing price of a financial instrument. This error could trigger a false positive surveillance alert about potential market abuse that isn’t accurate.  

Norwegian English

A trader asks a colleague to have a quick call about a large upcoming client order. The conversation is primarily in Norwegian, though the trader uses multiple English expressions when speaking, including “quick call,” “block order,” before the client order goes live,” and “keep it between us.”

The trader is talking about taking a position for the firm’s account before a large client order enters the market. This could indicate front running, a form of market abuse when a seller enters a trade using non-public information.

Some of the most suspicious information is expressed in English within a primarily Norwegian conversation. If a surveillance system can’t recognize and decipher code-switching, it could incorrectly transcribe or exclude phrases like “before the client order goes live” and “keep it between us.” As a result, the system might overlook key details about the trader’s intent and confidentiality, leading to a false negative.

Country-specific complexity

Language risk varies by market, so it helps to understand the regional differences:

Finland

Finland’s two official languages are Finnish and Swedish, though Finnish is structurally unrelated to Scandinavian languages. The vocabulary includes long compound words and rich inflections, which could confuse systems that match keywords. The noun osake (share) can also be spelled as osakkeen, osakkeita, and osakkeiden, for example. Every form of a word or phrase needs to be included on keyword lists. The term compliance teams are hunting for could also be buried inside a longer compound. In practice, a single Helsinki desk may mix Finnish, Swedish and English within a single call.

Norway

Norway’s two written standards are Bokmål and Nynorsk, but spoken dialect is what matters for voice communications. Dialects vary across the country, so a trader in Bergen may sound very different than a trader in Tromsø. If a model is only trained on standardized versions of Norwegian, it may not be capturing conversations accurately. Differences between written and spoken standards can also confuse lexicons that have been trained on just one.

Denmark

A research report found that Danish newscasters speak significantly faster than their colleagues in Norway and Sweden when measuring the number of syllables per second. This variance has a significant impact on the efficacy of voice recognition software and, consequently, automated transcription.

Cross-border groups

Many Nordic groups run trades, sales, and operations using several of these languages simultaneously, so one desk’s chat or call history can span several languages.

Why keyword lexicons struggle

Keyword lexicons work best on single-language, standardized text. In the Nordics, they tend to fail in four ways:

False positives: Some words are harmless in one language and raise alerts in another. The English word “gift” means either married or poison in Swedish, Norwegian, and Danish.

Translated lexicons: A list directly translated from English into a Nordic language could yield literal terms that few people say, while missing phrases traders do use.

Inflection and compounds: While most applicable to Finnish, Swedish, Norwegian, and Danish also have long compound words, so exact-match keyword lists might miss variants, and partial-match terms can over-trigger alerts.

Slang: Market slang and in-house shorthand often evolve faster than lexicons are updated, and a lot of new terms blend English roots with Nordic endings.

Voice: The hardest case

Voice monitoring depends on an accurate transcript. If a system misinterprets a word during the transcription phase, every lexicon, model, and human reviewer that follows is working from the wrong text. This means that compliance teams could be overlooking missed terms that might be indicative of risk. Alternatively, misinterpreted words that are actually innocent could trigger a false alert.

For languages that aren’t as widely spoken, surveillance systems might have less training data, which could further complicate transcription, especially paired with other factors like dialects, accents, and code-switching. In one instance, a hospital’s AI system had difficulty interpreting Scanian, a Swedish dialect, when transcribing patient visits, which could lead to inaccuracies.

For this reason, testing your own data is a big advantage. A surveillance tool’s accuracy when transcribing a major language says little about its abilities for more intricate situations, such as traders who might be mixing languages like Finnish and Swedish in one conversation.

The regulatory landscape

The Markets in Financial Instruments Directive II Article 16(7) and Commission Delegated Regulation Article 76, require firms to record telephone conversations and electronic communications relating to transactions. Article 16 of the Market Abuse Regulation also requires firms to maintain systems that can detect and report suspicious orders and transactions.

Supervisors in each market, including Finansinspektionen in Sweden, Finanstilsynet in Norway, Finanstilsynet in Denmark, and the FIN-FSA in Finland, all expect firms to effectively monitor business interactions and activities to mitigate risk. But inaccurate monitoring isn’t effective, meaning it’s imperative to employ a surveillance tool that you can trust.

Questions to ask your surveillance provider

To ensure your monitoring solution provides comprehensive coverage and is not simply checking the boxes, ask your surveillance provider the following questions:

QUESTION	WHY IT MATTERS
Which languages are supported natively, and which are machine-translated first?	Translation-first pipelines can lose nuance, slang, and context before analysis begins.
Can this system decipher and transcribe multiple languages within a single message?	Code-switching is routine, so a system that assumes traders are speaking one language per message will stumble.
What is the transcription accuracy for Nordic voice data?	Results can only be as good as the transcript, so ask for figures on your own languages and call conditions.
How are alerts explained, and can they be reviewed in the original language?	Reviewers need to see why an alert was triggered and verify the original conversation if a risk alert is triggered.

Final thoughts

Mixed-language speech, regional dialects, code-switching, and variable audio quality make Nordic voice surveillance a harder problem than language lists suggest. To handle these challenges, choosing the right technology partner matters. Global Relay AI covers transcription and translation across audio and text in 50+ languages, alongside voice surveillance, so compliance teams can read what was actually said rather than a flattened approximation of it.

Learn more with a demo of Global Relay AI and explore how our AI can support communications monitoring and help your firm maintain compliance.