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

Senior Data Scientist

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:

Senior Data Scientist 
Enterprise Risk Analytics
Location: Kraków
Ref No: GRA/ERA/SDS/02/2020
As a senior data scientist 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, namely Cybersecurity and Resilience risk. 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. 
 

Key Accountabilities:

  • Participate in projects leading to end-to-end risk model deployments for Enterprise Risk management through involvement in any or all of the following activities
    - Work closely with the business stakeholders to understand model requirements and understand the scope of work required
    - Collaborate with other Data Scientists and risk modellers through the whole cycle of the model development process to meet the business requirements
    - Develop methodologies and best practices for model implementation, validation, ongoing monitoring and issues remediation
    - Ensure the documentation of the models meets highest standards
    - Collaborate with Independent Model Review team during the model review phase and on remediation of findings
    - Education and training of end-users of the tools
  • Participate in all of the following technical activities during the model development cycle:
    - Data gathering and extraction from different sources, ETL transformation of the data
    - Research on the potential methodologies to meet business expectations
    - Prototype the code to implement model logic
    - Productionize the developed prototypes including design and development of data storage layer, APIs, visualizations and model monitoring
    - Maintenance of the developed solution
  • Execute the assigned projects/ analysis as per the agreed timelines and with accuracy and quality
  • Document model development activities for Independent Model Review teams
  • Mentoring of junior team members

Requirements:

  • Master degree in a quantitative field: mathematics, physics, computer science, quantitative finance or related is a must. At least 3 years of post-qualification experience
  • Strong intellectual/analytical potential and willingness to the goal of extending the existing risk models and to perform original applied research in the field
  • Strong programming skills in Python and experience with numpy, scipy, pandas, matplotlib, scikit-learn etc. Experience in building complex numerical simulations
  • Good understanding of probability theory, random variables and their distributions, monte-carlo simulations and inference algorithms, Bayesian networks (plus)
  • Practical working knowledge of some ML algorithms, working knowledge of at least one ML framework
  • Experience in building complex ETL pipelines and in building end-to-end Machine Learning or analytical solutions with special emphasis on version control of the data (not code)
  • Good knowledge of Linux
  • Interest in MLOps and DevOps
  • Fluency in using Git and GitHub, Confluence, JIRA, understanding of agile methodologies
  • Motivation to develop in the emerging field of enterprise risk modelling
  • Ability to clearly articulate technical topics in English, both written and spoken

Following would be strong advantage:

  • Prior experience in risk and in banking/financial sector
  • Past exposure to any of the following: probabilistic risk assessment, uncertainty quantification, operational risk modelling, reliability engineering, operational research, decision sciences, discrete event simulations
  • Experience in using Bayesian inference methods, past experience with any of the following: TensorFlow Probability, pymc3, pyro, Stan, WinBUGS or similar
  • Experience in modelling of rare events and using limited sets of data
  • Any experience with using Google Cloud Platform and services like: BigQuery, Dataprep, Dataflow, Cloud ML Engine, Kubernetes, Cloud Storage or experience with equivalent services on AWS or Microsoft Azure

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]
Senior Data Scientist 
Enterprise Risk AnalyticsNumer ref.: GRA/ERA/SDS/02/2020
As a senior data scientist 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, namely Cybersecurity and Resilience risk. 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. 
 

Key Accountabilities:

  • Participate in projects leading to end-to-end risk model deployments for Enterprise Risk management through involvement in any or all of the following activities
    - Work closely with the business stakeholders to understand model requirements and understand the scope of work required
    - Collaborate with other Data Scientists and risk modellers through the whole cycle of the model development process to meet the business requirements
    - Develop methodologies and best practices for model implementation, validation, ongoing monitoring and issues remediation
    - Ensure the documentation of the models meets highest standards
    - Collaborate with Independent Model Review team during the model review phase and on remediation of findings
    - Education and training of end-users of the tools
  • Participate in all of the following technical activities during the model development cycle:
    - Data gathering and extraction from different sources, ETL transformation of the data
    - Research on the potential methodologies to meet business expectations
    - Prototype the code to implement model logic
    - Productionize the developed prototypes including design and development of data storage layer, APIs, visualizations and model monitoring
    - Maintenance of the developed solution
  • Execute the assigned projects/ analysis as per the agreed timelines and with accuracy and quality
  • Document model development activities for Independent Model Review teams
  • Mentoring of junior team members

Requirements:

  • Master degree in a quantitative field: mathematics, physics, computer science, quantitative finance or related is a must. At least 3 years of post-qualification experience
  • Strong intellectual/analytical potential and willingness to the goal of extending the existing risk models and to perform original applied research in the field
  • Strong programming skills in Python and experience with numpy, scipy, pandas, matplotlib, scikit-learn etc. Experience in building complex numerical simulations
  • Good understanding of probability theory, random variables and their distributions, monte-carlo simulations and inference algorithms, Bayesian networks (plus)
  • Practical working knowledge of some ML algorithms, working knowledge of at least one ML framework
  • Experience in building complex ETL pipelines and in building end-to-end Machine Learning or analytical solutions with special emphasis on version control of the data (not code)
  • Good knowledge of Linux
  • Interest in MLOps and DevOps
  • Fluency in using Git and GitHub, Confluence, JIRA, understanding of agile methodologies
  • Motivation to develop in the emerging field of enterprise risk modelling
  • Ability to clearly articulate technical topics in English, both written and spoken

Following would be strong advantage:

  • Prior experience in risk and in banking/financial sector
  • Past exposure to any of the following: probabilistic risk assessment, uncertainty quantification, operational risk modelling, reliability engineering, operational research, decision sciences, discrete event simulations
  • Experience in using Bayesian inference methods, past experience with any of the following: TensorFlow Probability, pymc3, pyro, Stan, WinBUGS or similar
  • Experience in modelling of rare events and using limited sets of data
  • Any experience with using Google Cloud Platform and services like: BigQuery, Dataprep, Dataflow, Cloud ML Engine, Kubernetes, Cloud Storage or experience with equivalent services on AWS or Microsoft Azure

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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