Manager – Global Finance Analytics @ HSBC Technology Poland
6 dni temu
Your career opportunity
Global Finance Analytics (“GFA”) is a recently established function within Global Finance and is a globally diverse team. Global Finance Analytics’ aims include i) overseeing model risk and governance within Finance, ii) creating a centre of expertise within Finance for model development, advanced analytics and innovation, and iii) supporting Finance in the approach and standards for analytics more broadly. This role is aligned with the second objective – and is looking to bring expertise to the model development team.
If your CV meets our criteria, you should expect the following steps in the recruitment process:
Online behavioural test
Telephone screen
Job interview with the hiring manager
What you need to have to succeed in this role
University Degree (Masters or PhD preferred) in Quantitative Finance or in a numerical subject (Maths, Physics, Engineering, Econometrics).
Relevant experience in analytics specifically in the fields such as Credit Risk Modelling, Stress Testing, Loss Forecasting, Reserving, IFRS 9, ECL etc. for a Banking organization.
Strong analytical and problem solving skills.
Familiarity with forecasting, stress testing models.
Python and/or R proficiency, familiarity with SQL and source control.
Strong understanding of consumer products such as Deposits, Savings, Lending, Credit Cards, CRE, as well as Costs, Interest Income and Fee Income in general.
Excellent communication skills (both written and verbal).
Your career opportunity
Global Finance Analytics (“GFA”) is a recently established function within Global Finance and is a globally diverse team. Global Finance Analytics’ aims include i) overseeing model risk and governance within Finance, ii) creating a centre of expertise within Finance for model development, advanced analytics and innovation, and iii) supporting Finance in the approach and standards for analytics more broadly. This role is aligned with the second objective – and is looking to bring expertise to the model development team.
If your CV meets our criteria, you should expect the following steps in the recruitment process:
Online behavioural test
Telephone screen
Job interview with the hiring manager
,[Develop/enhance of models and methodologies across Finance predominantly related to forecasting and stress testing., Oversee the work of more junior model developers, and being able to set direction and expectations as well as supporting growth and innovation., Work in an agile way, considering both best practice and practical solutions and iterating towards the former., Participate and present in regular stakeholder (Business, Change, IT) catch up sessions to keep up to date with ongoing projects and deliverables., Work closely with other teams within Global Finance, e.g. SP+ST, Business Finance Teams, Finance on the Cloud teams, IT, etc. to ensure that the delivery is improving Finance Analytics capability in as consistent and strategic way., Problem solve: At times the customer requirements may require further refinement, or the preferred solution may be impractical (in particular availability or history of data) - an ability to interrogate options, data, and drive solutions is required., Influence and collaborate stakeholders, to build consensus about the modelling approach., Build and manage key relationships with internal and external stakeholders especially the model owner and model user, but also Internal Model Review.] Requirements: Degree, Credit Risk Modelling, Forecasting, Stress Testing, Loss Forecasting, Reserving, IFRS, ECL, Python, R, SQL Additionally: Training budget, Private healthcare, Flat structure, International projects, Multisport card, Monthly remote work subsidy, Psychological support, Conferences, PPK option, Annual performance based bonus, Integration budget, International environment, Small teams, Employee referral bonus, Mentoring, Workstation reimbursement, Company share purchase plan, Childcare support programme, Bike parking, Playroom, Shower, Canteen, Free coffee, Free beverages, Free parking, In-house trainings, In-house hack days, No dress code, Modern office, Knowledge sharing, Garden, Massage chairs, Kitchen.
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