Investment Risk Data Analyst + de 3 ans d'expérience H/F

The Risk Analytics & Infrastructure team (RAI) is a subset of the LOIM Investment Risk department.

The primary responsibilities of the team include :

 

- Ownership and maintenance of data and risk processes including sourcing, calculating and visualisation of LOIM's investment risk exposures

 

- Engagement with LOIM Investment Risk Managers and other primary stakeholders to design, develop and implement clear analytical solutions across all asset classes

 

- Management and maintenance of usage and validation of external risk calculation agents

 

- Management of existing data sets, ensuring the analytics tools are correctly sourcing data from data sources external to the immediate team

 

- Utilisation of new technologies to streamline processes and increase efficiency across the team

 

1.    Management and Reporting

 

- Take ownership of risk and performance dashboards and underlying data sourcing processes

 

- Ensuring all internal and external reporting requirements are met with timely, accurate and complete data sets

 

- Help drive the migration of existing processes to updated processes and platforms in line with the team vision

 

- Maintaining risk calculations and process feeds to external calculators

 

- Respond and prioritise ad-hoc requests for information as they arise

 

- Challenge existing processes and data feeds with the wider LOIM-IT and data community

 

2.    Management and Reporting

 

- Report to the Head of Risk Analytics & Infrastructure

 

3.    Risk

 

- Basic awareness of risk and financial calculation concepts

 

- Adhere to relevant LOIM risk and compliance policies  

Formation minimum : Bachelor

Expérience : Plus de 3 ans

 

Qualifications/Education Required

 

- Degree in Mathematics, statistics, Economics, Computer Science or similar

 

Experience Required

 

- Experience in data analysis of large-scale, distributed data sets

- Experience in process automation

- Experience in applying financial concepts to large data set manipulation

 

Senior Managers & Certification Regime

 

- Conduct Staff

 

Competencies required:

 

- Strong attention to detail

- Ability to challenge and provide supportive criticism

- Ability to work under pressure whilst adhering to deadlines and managing conflicting priorities

- Strong understanding of analysing market risk factors and their underlying drivers

 

Skills & Knowledge Requirements

 

- Familiarity with BI tools (ie Tableau), process workflow automation tools (ie Alteryx), programming languages and coding skills 

- Strong analytical and data manipulation skills

- Excellent modelling skills including topics such as financial modelling, optimisation, simulation, stress testing and general statistical techniques

- Autonomous and self-motivated

- Flexible and results-oriented, with excellent problem solving skills

- Ability to respond quickly to different requests and situations

 

Other desirables:

 

- Masters, CFA, FRM, CAIA

 

- Experience in financial markets and financial risk management concepts

 

- Computer Science methodologies

 

- Fluency in another language beneficial, preferably French or German

 

Points incontournables


Experience in data analysis of large-scale, distributed data sets
Experience in process automation
Experience in applying financial concepts to large data set manipulation
Familiarity with BI tools (ie Tableau), process workflow automation tools (ie Alteryx), programming languages and coding skills
Excellent modelling skills including topics such as financial modelling, optimisation, simulation, stress testing and general statistical techniques
Fluent in English - French is a big advantage (mainly for integration)

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