Careers

Role and responsibilities

• Developing, testing, and maintaining data processing and NLP/ML solutions in the domain of large-scale text data processing with application in finance (generating data for asset managers for systematic investing)
• Build reliable, efficient, and quality controlled solutions
• Apply and guard architecture principles

Experience

• Competent software/data engineer/scientific programmer having experience with (and deep understanding of) large scale data driven technologies for data ingestion, processing, and storage, and orchestration of these components into workflows.
• Working with a cloud based environment is a plus.
• Testing, continuous integration, and in general DevOps is a plus.

Behavior and knowledge:

• Previously demonstrated quickly gaining an understanding of a new domain or has Entis data domain (companies, securities, structured and unstructured data associated with them) experience.
• Balance between big picture and attention to detail mindset (think like a statistician act like an engineer)
• Understand how to deal with issues w.r.t scalability, consistency, reliability, efficiency, and maintainability, and security.
• Interest in new developments in the NLP/ML space
• Team player, communicator, supportive, positive mindset, result driven
• Know the strengths and weaknesses of each tool/technology and what it’s best used for is a plus.
• Agile way of working in practice and knowing when it is appropriate to apply and when not is a plus.

Skills (Proficient)

Required:

• Python (or one of the nice to have languages where they demonstrated the ability to properly build software in a new language via rapid learning)
• SQL
• Strong software engineering and design ability w.r.t data intensive systems

Nice to have:

• Financial domain knowledge
• Experience with data analysis
• Scala/Java or C#
• Spark/Databricks
• Airflow
• Azure Cloud (storage, Kubernetes and containers, SQL databases, Functions, virtual machines, etc)

Role and responsibilities

• Researching, analyzing, and building proof of concepts in the domain of large-scale text data processing with application in finance (generating data for asset managers for systematic investing)
• Building solutions keeping in mind how they are controlled for quality in production

Experience

• Competent data scientist having experience with (and deep understanding of) deriving insights from real world data and building models
• Working with a cloud based environment is a plus.

Behavior and knowledge:

• Previously demonstrated quickly gaining an understanding of a new domain or has Entis data domain (companies, securities, structured and unstructured data associated with them) experience.
• Interest in new developments in the NLP/ML space.
• Curious, investigative, and explorative mindset
• Team player, communicator, supportive, positive mindset, result driven

Skills (Proficient):

Required:

• Python (or one of the nice to have languages where they demonstrated the ability to build solutions in a new language via rapid learning)
• SQL
• Strong data analysis skills

Nice to have:

• Financial domain knowledge
• Spark/Databricks
• Azure Cloud (storage, Kubernetes and containers, SQL databases, Functions, virtual machines, etc)

Role description 

Entis has an automated data management pipeline that runs daily. It uses input from data sources to produce the output – the Alpha and SDI signals. The Alpha signal goes to the client the same day. The automated data management requires intervention of a human when some data quality issues or untrivial changes in the source data are detected. Fixing the data quality exceptions and checking the untrivial data changes is a part of the daily operations at Entis. 

The role of Data Management Operations Lead is created to guarantee timely and smooth execution of the daily data management operations, as well as to ensure high quality of the input and output data for the Alpha and SDI signals.  

Like “a spider in the data web”, the Data Management Operations Lead is the one who sees the data most closely and knows how it changes over time. Therefore, this person is the first one to notice if something goes wrong with the data due to a quality issue at a data provider or a software code bug at Entis. 

The Data Management Operations Lead is also the one who works closely with almost all other roles at Entis, namely the product owners, the developers of the data ingestion and transformation software, as well as the researchers and data scientists.  

The Data Management Operations Lead will supervise a team of 5-10 junior Data Analysts / Data Management Operators who are hired to analyze and fix data at a larger scale. 

Responsibilities 

1 – Performing daily data management operations 

• Using dedicated tooling, analysing the status of the ingestion and transformation pipelines. Sending an alarm in case of issues and/or irregularities. 
• Using tooling, daily analysing changes in the original and transformed data. Manually fixing known data issues. Sending an alarm in case of unforeseen issues and/or irregularities. 
• Investigating data issues by querying the original data sources 
• Using tooling, manually delivering product data to clients in case of more irregular data changes. Additionally communicating irregular data changes to clients. 
• Helping to improve tooling to make it more efficient 

• Helping to design and develop new data checks 

2 – Leading a team of junior Data Management Operators 

• Organizing a team of 5-10 people for a project to check and fix large chunks of data 
• Preparing the process and instructions for fixing new data quality exceptions 

• Interviewing new candidates for the Data Management Operations team and training new team members 

Requirements 

• Preferably having a university degree in Computer Science, Finances, Business Administration, or other related disciplines 
• Experience and/or willingness to work in dynamic companies facing high client demands 

• Competent with assessing and managing data quality of large-scale data production systems 
• Basic knowledge of and/or interest in learning about financial markets and asset management 
• Experience with SQL and working with databases 
• Basic to intermediate programming experience 
• Interest in learning about various types of data structures and sources, as well as research and development environments 
• Eye for detail  
• Analytical mindset 
• Owner mindset 

We offer 

• Market conforming salary 
• Interesting, enthusiastic, and highly educated colleagues 
• Opportunities for learning and catching up with innovation 

What we are looking for

Entis is looking for students who want to support us to improve the quality of our sustainability assessments. This includes a wide variety of tasks, ranging from extracting relevant data to  evaluating company documents according to established rules about what is sustainable and what is not.

Profile

• Affinity with sustainable solutions in the field of sustainable energy, health care, food, materials

• Works accurately and decisively

• Available 2-5 days a week

What we offer

We are flexible when it comes to working hours.

More than competitive salary.

Given the Covid-19 situation we expect you to work from home, except during the first week(s) when you’ll receive training on the methodology and tools used.

We adhere to the RIVM requirements for Covid-19.

If you’re interested, please fill in the form below

Role description 

Entis is looking for students who want to support us to improve the quality of the Alpha signals. This includes a wide variety of tasks, for example: 

• Checking if company’s historic corporate events reflected in our data correspond to the one that could be found online (Wikipedia, news websites) 

• Checking if our ML and NLP models/functionality produced correct result and help with model training 
• Helping with daily data management operations, particularly to inspect changes in data about companies to guarantee its quality 

Requirements 

• Eye for detail, working accurately and decisively 
• Interest in learning about financial markets, as well as about individual publicly listed companies 
• Interest in working with ML and NLP functionalities  
• Availability: 2-5 days a week 

What we offer 

• We are flexible when it comes to working hours 
• More than competitive salary 
• You are allowed to work from home 
• We adhere to the RIVM requirements for Covid-19