HSBC Service Delivery (Polska) Sp. z o.o.

Data Scientist – NLP Engineer

HSBC Service Delivery (Polska) Sp. z o.o.O firmie

HSBC Service Delivery (Polska) Sp. z o.o.

Kapelanka 42

Kraków

HSBC Service Delivery (Polska) Sp. z o.o. is a part of HSBC Holdings plc, the parent company of the HSBC Group, headquartered in London. The Group serves customers worldwide from over 6,300 offices in over 75 countries and territories in Europe, Asia, North and Latin America, and the Middle East and North Africa. HSBC is one of the world’s largest banking and financial services organisations. Currently, we are looking for a candidate for the position of:

Data Scientist – NLP Engineer
Enterprise Risk Analytics
Location: Kraków
Ref No: GRA/ERA/DS/02/2020
As a NLP engineer you will become a part of the Enterprise Risk Analytics team. We are involved in design, implementation and performance monitoring of predictive analytics tools and are part of the Global Risk Analytics function. We build our end-to-end solutions (Machine Learning models and quantitative risk management) to better manage non-financial risks across HSBC group. You will join a team of experts solving some of the most demanding and burning problems in the risk domain where no industry recognized methods exist. You will support us in building solutions for transition (climate) risk, LIBOR demise, resilience and legal risk.

 

Key Accountabilities:

  • Participate in projects leading to deployed solutions using various natural language processing techniques for the Enterprise Risk Analytics activities through involvement in any or all of the following activities
    - Design of predictive analytics strategies and models, their prototyping and implementation
    - Design and implementation of knowledge extraction tools from unstructured data
    - Topic modelling of legal documents, auto-tagging
    - Design of tools for analysis of exposure to particular factors and generation of reports
    - Design of tools for automatic drafting of amendments
  • Execute the assigned projects/ analysis as per the agreed timelines and with accuracy and quality
  • Complete analysis as required and document results and formally present findings to management

Requirements:

  • Master degree in a quantitative field: mathematics, physics, computer science, quantitative finance or related is a must
  • At least 1 year of post-qualification experience
  • Knowledge of statistical, data manipulation and machine learning techniques and appropriate working experience
  • Very good working knowledge of Python in the context of Machine Learning
  • Experience with some of the following: machine comprehension, semantic role labelling, named entity recognition, sequence tagging
  • Experience in using different Natural Language Processing libraries and related like: spacy, nltk, word2vec, allennlp, genism, Tesseract OCR
  • Experience in deploying Machine Learning models into production
  • Basic understanding of deep learning techniques including recurrent and convolutional neural networks
  • General working knowledge of Google Cloud Platform or Amazon Web Services
  • Knowledge of cloud offerings related to NLP like Amazon Comprehend, Lex, Textract would be a plus
  • Fluency in using Git and GitHub
  • Motivation to develop in the emerging field of enterprise risk modelling
  • Creative and analytical thought process and aptitude for problem solving
  • Ability to clearly articulate technical topics in English, both written and spoken

We offer:

  • The opportunity to be part of a leading Centre of excellence where a dynamic learning environment thrives career-path in an international organization
  • Long-term job in one of the largest banking and financial services organization in the world
  • Language / Studies Reimbursement Scheme
  • Professional trainings
  • An environment where you will be given space to take ownership and accountability for your work
  • Interesting projects that have a significate impact on how we do a business
  • A Team of professionals that will help you develop & succeed
  • Exposure on all HSBC lines of business and markets
  • Employees’ benefits: private medical and dental health care, Multisport Card, life insurance
  • Flexible working hours, remote work from home 2 days/week

 

You'll achieve more when you join HSBC.

To apply for this position please send your curriculum vitae in English including reference number, using "Apply now" button below.
Applications sent to us will be taken into consideration only if they include the following statement:
I hereby declare that I have familiarized myself with the Privacy Statement for Applicants published at http://www.about.hsbc.pl/careers and I hereby give consent for personal data included in my application to be processed for the purposes of recruitment in HSBC Service Delivery (Polska) Sp. z o. o. according to rules described in the Privacy Statement for Applicants, as per the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (GDPR).”
In case you would like to resign from participation in recruitment process or withdraw previously sent to us application, please email us at: [email protected]
Data Scientist – NLP Engineer
Enterprise Risk AnalyticsNumer ref.: GRA/ERA/DS/02/2020
As a NLP engineer you will become a part of the Enterprise Risk Analytics team. We are involved in design, implementation and performance monitoring of predictive analytics tools and are part of the Global Risk Analytics function. We build our end-to-end solutions (Machine Learning models and quantitative risk management) to better manage non-financial risks across HSBC group. You will join a team of experts solving some of the most demanding and burning problems in the risk domain where no industry recognized methods exist. You will support us in building solutions for transition (climate) risk, LIBOR demise, resilience and legal risk.

 

Key Accountabilities:

  • Participate in projects leading to deployed solutions using various natural language processing techniques for the Enterprise Risk Analytics activities through involvement in any or all of the following activities
    - Design of predictive analytics strategies and models, their prototyping and implementation
    - Design and implementation of knowledge extraction tools from unstructured data
    - Topic modelling of legal documents, auto-tagging
    - Design of tools for analysis of exposure to particular factors and generation of reports
    - Design of tools for automatic drafting of amendments
  • Execute the assigned projects/ analysis as per the agreed timelines and with accuracy and quality
  • Complete analysis as required and document results and formally present findings to management

Requirements:

  • Master degree in a quantitative field: mathematics, physics, computer science, quantitative finance or related is a must
  • At least 1 year of post-qualification experience
  • Knowledge of statistical, data manipulation and machine learning techniques and appropriate working experience
  • Very good working knowledge of Python in the context of Machine Learning
  • Experience with some of the following: machine comprehension, semantic role labelling, named entity recognition, sequence tagging
  • Experience in using different Natural Language Processing libraries and related like: spacy, nltk, word2vec, allennlp, genism, Tesseract OCR
  • Experience in deploying Machine Learning models into production
  • Basic understanding of deep learning techniques including recurrent and convolutional neural networks
  • General working knowledge of Google Cloud Platform or Amazon Web Services
  • Knowledge of cloud offerings related to NLP like Amazon Comprehend, Lex, Textract would be a plus
  • Fluency in using Git and GitHub
  • Motivation to develop in the emerging field of enterprise risk modelling
  • Creative and analytical thought process and aptitude for problem solving
  • Ability to clearly articulate technical topics in English, both written and spoken

We offer:

  • The opportunity to be part of a leading Centre of excellence where a dynamic learning environment thrives career-path in an international organization
  • Long-term job in one of the largest banking and financial services organization in the world
  • Language / Studies Reimbursement Scheme
  • Professional trainings
  • An environment where you will be given space to take ownership and accountability for your work
  • Interesting projects that have a significate impact on how we do a business
  • A Team of professionals that will help you develop & succeed
  • Exposure on all HSBC lines of business and markets
  • Employees’ benefits: private medical and dental health care, Multisport Card, life insurance
  • Flexible working hours, remote work from home 2 days/week
You'll achieve more when you join HSBC.

To apply for this position please send your curriculum vitae in English including reference number, using "Apply now" button below.
Applications sent to us will be taken into consideration only if they include the following statement:
I hereby declare that I have familiarized myself with the Privacy Statement for Applicants published at http://www.about.hsbc.pl/careers and I hereby give consent for personal data included in my application to be processed for the purposes of recruitment in HSBC Service Delivery (Polska) Sp. z o. o. according to rules described in the Privacy Statement for Applicants, as per the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (GDPR).”
In case you would like to resign from participation in recruitment process or withdraw previously sent to us application, please email us at: [email protected]

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