Join our team! We are looking for a Data Scientist to join our CRQ team to help us model operational risk arising from cybersecurity related events. You will be a part of the interdisciplinary team consisting of quants and cyber subject matter experts. We use a mixture of probabilistic risk assessment, uncertainty quantification, operational risk modelling, and decision sciences techniques to define quantitative measures of HSBC resilience against cyber threats. This helps our stakeholders to better monitor and manage cyber security risk.

Your responsibilities

Cybersecurity Risk Quantification (CRQ) – development, implementation and management of a mathematical model calculating the impact of improvements made to our control environment on risk exposure reduction. Providing an industry leading opportunity to translate complex cybersecurity concepts into business-friendly information allowing to make informed decisions in line with our risk appetite
Cybersecurity Controls Design – starting with the current bank wide priority on Non-Financial Risk Optimisation (NFRO) programme, designing Procedures, Operating Instructions and Control Instances, expanding on the newly implemented Risk Taxonomy and Control Library. The efforts will continue to define and maintain a detailed Cybersecurity Controls Catalogue, continuously improving our controls design and implementation requirements
Metrics & Reporting – definition and management of Key Control Indicators and providing a ‘front-door’ service to Global Businesses, Functions and Regions for any queries related to KCIs and output of the new Cybersecurity Metrics dashboard
Continuous Control Monitoring – developing the approach, implementing and maintaining a process for ongoing control monitoring. Designing an approach for automated evidence collation to facilitate reviews from Chief Controls Office, Resilience Risk and Audit
Risk & Controls Strategy – embedding CRQ into wider Operational Risk Management Framework and controls ecosystem. Tying together all other components of the function into a cohesive strategy to ensure robust end to end control management and risk quantification

Our requirements

Post Graduate qualifications (quantitative MSc / PhD) in, Statistics, Applied Mathematics, Physics or related. MSc in quantitative science is a must
Exposure to at least one of the following: operational risk modelling (preferably non-actuarial approaches), Bayesian Networks, Markov Decision Processes or Probabilistic Programming
Motivation to develop in the emerging field of quantitative cybersecurity risk modelling
Strong intellectual/analytical potential and willingness to the goal of extending the existing risk models and to perform original applied research in the field
Good understanding of probability theory, random variables and their distributions, monte-carlo simulations and inference algorithms
Experience in analysing big volumes of data, preferably with Spark. At least basic knowledge of SQL
Strong programming skills in Python and experience with numpy, scipy, pandas, matplotlib
Practical working knowledge of some ML algorithms, working knowledge of at least one ML framework
Interest in MLOps
Basic git knowledge, Confluence, JIRA, understanding of agile methodologies

Optional

Past exposure to any of the following: probabilistic risk assessment, uncertainty quantification, operational risk modelling, reliability engineering, operational research, decision sciencesAny experience in using Bayesian Networks/Influence Diagrams/Markov Decision Processes, Bayesian inference methods, any experience with one of the following: TensorFlow Probability, pymc3, pyro, Stan, WinBUGS or similar

What we offer

Annual performance-based bonus
Additional bonuses for recognition awards
Multisport card
Private medical care
Life insurance
One-time reimbursement of home office set-up (up to 800 PLN)
Corporate parties & events
CSR initiatives

Nursery and kindergarten discounts
Language classes
Financial support with trainings and education
Social fund
Flexible working hours
Free parking
Competitive salary

Benefits

sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
integration events
corporate sports team
doctor’s duty hours in the office
retirement pension plan
corporate library
no dress code
video games at work
coffee / tea
parking space for employees
leisure zone
extra social benefits
employee referral program
opportunity to obtain permits and licenses
charity initiatives
family picnics
extra leave

Recruitment stages

Online assessment

Phone interview

Zoom interview

Welcome to HSBC!

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

HSBC is one of the world’s largest banking and financial services organisations. Our global businesses serve more than 40 million customers worldwide through a network that covers 63 countries and territories.

HSBC Service Delivery (Polska) Sp. z o.o. is HSBC's global finance, operations, risk and technology centre. We use our unique expertise and capabilities to provide specialised services – our people range from technologists transforming the banking experience to operations professionals managing 1.7 trillion payments a year.

Our Purpose – Opening up a world of opportunity – explains why we exist. We are bringing together the people, ideas and capital that nurture progress and growth, helping to create a better world – for our customers, our people, our investors, our communities and the planet we all share.

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(Cybersecurity) Data Scientist

HSBC Service Delivery (Polska) Sp. z o.o.About the company

Technologies we use

Expected

About the project

Your responsibilities

Our requirements

Optional

What we offer

Benefits

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

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