Financial Institutions - Data Scientist - Analyst / Associate Director- London (6221)

  • Competitive
  • London, England, United Kingdom London England GB
  • Permanent, Full time
  • Fitch Ratings
  • 25 Jun 18 2018-06-25

Financial Institutions - Data Scientist - Analyst / Associate Director- London (6221)


Company Overview:

 

Dual-headquartered in New York and London, Fitch Ratings is a leading provider of credit ratings, commentary and research. Dedicated to providing value beyond the rating through independent and prospective credit opinions, Fitch Ratings offers global perspectives shaped by strong local market experience and credit market expertise. The additional context, perspective and insights we provide help investors to make important credit judgments with confidence. 

 

Fitch Solutions delivers credit market data, analytical tools and risk services to the global financial community. In addition to offering proprietary market based content, Fitch Solutions distributes the ratings, research and financial data of Fitch Ratings through a variety of flexible platforms. With innovation and experience behind every solution, Fitch Solutions helps financial professionals meet the diverse and evolving needs of today's global markets.

 

Fitch Ratings and Fitch Solutions, along with Fitch Learning, are part of the Fitch Group, a global leader in financial information services with operations in more than 30 countries. Fitch Group is a jointly owned subsidiary of Paris-based  Fimalac, S.A. and New York-based  Hearst Corporation . 

Fitch complies with all laws governing employment in each jurisdiction in which it operates, and provides equal opportunity to all applicants and employees. All applications will be considered without regard to race, color, religion, gender, national origin, age, disability, marital or veteran status, sexual orientation, and other status protected by applicable laws.

 

Department overview:

Fitch's Financial Institutions (FI) Group is a market leader with the highest penetration of global issuer rating coverage among peers. 

 

We are looking for an ambitious data scientist or quantitative analyst to join our 'Special Projects Group (SPG)' an integral part of Fitch's global FI group. Based in London the SPG is a team of specialist resources dedicated to the provision of high quality data and quantitative analytics to Fitch's global FI rating teams. In particular the SPG focuses on broad thematic areas such as risk modelling, stress testing and regulation but also acts as the focal point between the rating group and centralised functions such as IT, Compliance and Operations.

 

Job Description:

The candidate will be required to perform a range of data science and quantitative analytics tasks in support of our research and development projects on global banking risk. This is quite an exciting role with the opportunity to build tools and models which will be used globally across our analytical community and to apply some sophisticated statistical techniques to challenging problems. The role will be a broad mix of data exploration and analysis, model design and testing, and building high quality user interfaces and data visualisations. Additionally, the candidate will also be responsible for delivering enhanced data automation tools and contribute their own research and analysis. There is also the opportunity to develop a very deep understanding of global bank analysis and the ratings process.

 

Key tasks and responsibilities:

  1. Exploration, visualization and statistical analysis of bank and macro-economic data.
  2. Proto-typing, implementing and deploying our upcoming tactical and strategic risk modelling and data analytics.
  3. Enhancing existing proprietary tools, models and processes.

 

Position Requirements:

Qualifications :

 
  • Prerequisite : A good university degree in data science or a quantitative subject such as mathematics, physics, engineering.

 

Knowledge :

 
  • Prerequisite : Fluency in R or Python.
  • Highly Beneficial : Knowledge of quant finance modelling and statistics.
  • Beneficial : Any of the following: Excel/VBA, data visualization, databases (eg PostgreSQL, MongoDB), web-services, html.

 

Experience :

 
  • Prerequisite : Commercial experience working in a data science or quantitative analytics/modelling role.
  • Beneficial : Financial industry experience.

 

 

In a relatively small team the successful candidate will need to be able to work independently, at times to tight deadlines, and be able to manage a mix of short and longer-term timetables. Good written and verbal communication skills are required.

 

Application:

 To apply please submit a cover letter and most recent CV including remuneration details, via the enclosed links.  

Title:                 Quantitative Analyst                  

Location:          London

 

Company Overview: 

Dual-headquartered in New York and London, Fitch Ratings is a global rating agency dedicated to providing value beyond the rating through independent and prospective credit opinions, research, and data. Offering a world of knowledge and experience behind every opinion, we transform information to deliver meaning and utility to investors, issuers, and other market participants. Fitch Ratings' global expertise draws on local market knowledge and spans the fixed-income universe. The additional context, perspective and insights we provide help investors make important credit judgments with confidence.

Fitch Solutions provides a range of industry-leading products and services to the global financial community. In addition to offering proprietary market-based content, we distribute the ratings, research, and financial data of Fitch Ratings through a variety of flexible platforms. With innovation and experience behind every solution we bring to market, our offerings are designed to meet the diverse needs of the fixed-income markets.

 

Fitch Ratings and Fitch Solutions, along with Fitch Learning, are part of the Fitch Group, a global leader in financial information services. Fitch Group is a jointly owned subsidiary of Paris-based  Fimalac, S.A. and New York-based  Hearst Corporation .  

 

Department overview:

Fitch's Financial Institutions (FI) Group is a market leader with the highest penetration of global issuer rating coverage among peers.

 

We are looking for an ambitious data scientist or quantitative analyst to join our 'Special Projects Group (SPG)' an integral part of Fitch's global FI group. Based in London the SPG is a team of specialist resources dedicated to the provision of high quality data and quantitative analytics to Fitch's global FI rating teams. In particular the SPG focuses on broad thematic areas such as risk modelling, stress testing and regulation but also acts as the focal point between the rating group and centralised functions such as IT, Compliance and Operations. 

 

Job Description:

The candidate will be required to perform a range of data science and risk analysis tasks in the global FI space, which range from small scale but rapid data analytics to the development and delivery of sophisticated solutions. Additionally, the candidate will also be responsible for delivering enhanced data automation and visualisation capabilities to the team, and contribute to various ongoing statistical modelling activities.

Key tasks and responsibilities are:
  1. Core data science tasks, including:
    • Collecting, cleaning and aggregating data,
    • Statistical analysis and interpretation,
    • Data exploration, visualization and presentation,
    • Management of local data and databases,
    • Automation of all of the above
  2. Contribute to the proto-typing, implementation, deployment and support of the team's upcoming tactical and strategic risk modelling and data analytics.
  3. Develop detailed understanding of the existing proprietary tools, models and processes, and progressively take on responsibility for support and enhancements.
  4. Provide ad-hoc data analytics for the wider FI analytical teams as necessary, plus contribute to any technical training/demonstrations as necessary. 
  5. Develop a broad understanding of bank credit analysis and key industry developments.

 

Qualifications and Experience:

 

Qualifications :

 
  • Prerequisite : A good educational background to at least first university degree level in a data science or quantitative subject (eg mathematics/physics/engineering)
  • Beneficial : Further academic studies (completed or planned) in the area of risk management or quantitative finance.

 

Knowledge :

 
  • Prerequisite : A high level of competency or fluency in R and Excel/VBA. A good knowledge of statistical techniques for data analysis. Excellent data visualization skills.
  • Beneficial : Any of the following: databases (eg PostgreSQL, MongoDB), python, web-services, javascript or html.

 

Experience :

 
  • Beneficial : Commercial experience of  working in a  prior data scientist role and/or finance industry experience.

 

 

In a relatively small team the successful candidate will need to be able to work independently, at times to tight deadlines, and be able to manage a mix of short and longer-term timetables. Good written and verbal communication skills are required.