Analyst, Quantitative Modeling - London, United Kingdom - eFinancialCareers

eFinancialCareers

Verified Company

London, United Kingdom

3 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

The Team:

Structured Finance (SF) team is responsible for a vast portfolio of criteria and models spanning ABS, RMBS, CMBS and Structured Credit (including CLO's).

The criteria and models that the group develops and maintains help global analystsproduce independent credit ratings covering Structured Finance securitizations.

The team is focused on producing timely, insightful, and innovative analysis and research of the highest quality that grows our relevance in the market.

As a Methodology SME, youwill be embedded within the SF team and work closely with the Model and Criteria SMEs, who are responsible for developing, maintaining, and delivering a growing portfolio of cutting-edge quantitative tools, Models and analysis that enable analysts to continuallyproduce high quality and transparent credit analysis.

This is an excellent opportunity to join S&P Global as we transform our infrastructure and deliver cloud-based tools to the analytical teams, while also developing your skills and furthering your career as we power the markets of the future.

What's in it for you?:

Leverage your quantitative abilities to develop analytic solutions and tools that enable our credit analysts to perform high quality analysis and research;
Challenging and steep learning curve, which could lead to continued growth within the organization by demonstrating strong analysis, teamwork, and presentation skills;
Gain analytic knowledge of a wide range of global sectors and market topics;
Gain exposure to stakeholders across S&P Ratings; and
Enjoy a strong collegial, collaborative environment.

Responsibilities:

Develop and maintain nimble, userfriendly quantitative solutions and tools that will be used by credit analysts globally in credit rating analyses and research publications;
Work together with senior members of Methodologies and Ratings Technology to ensure that our models and tools are reliable, operational, performant, and meet business requirements;
Synthesize and analyze large datasets to derive analytic value and insights for credit rating analyses and research publications;
Focus on identifying areas for new, creative solutions and continuous improvement;
Provide insight to the team in solving complex, nonroutine problems and tasks;
Work collaboratively with senior model and criteria SMEs within the group;
Work closely with the Model and Criteria Validation group to ensure a high quality product;
Write clear, concise specifications and development documentation to ensure consistent and thorough documentation in accordance with policy and procedures; and
Support criteria projects and be an active member of projects including developing tools, testing of new concepts, data gathering, writing, and preparation of materials.

What We're Looking For:

Basic Qualifications:

Bachelor's or postgraduate degree in Finance, Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics or a related field; 2+ years work experience in relevant field;
Knowledge of capital markets (preferably Structured Finance), financial instruments with an emphasis on credit risk modeling are preferred;
Proficiency in excel/VBA and programming languages: R/R Shiny (required), Python and C++;
Displays wellrounded communication skills that implement good listening techniques, and strong verbal skills with the ability to communicate across a wide range of groups and personalities internally and externally; and
Works well in a team environment, focusing on collaboration, and adapting to the needs of a diverse team.

Preferred Qualifications:

Masters or advanced degree preferred;
Knowledge of financial or credit risk modelling preferred;
Persistent with a natural curiosity about credit markets and technical details.

Competencies:

A selfstarter who can work independently, but also able to collaborate with large groups from diverse backgrounds;
The ability to quickly and concisely summarize quantitative concepts to the analytical community, who have a wide range of technical skillsets;
Experience with multistage projects;
Excellent time management and ability to plan, prioritize, and meet deadlines;
Excellent communication and interpersonal skills, with the ability to facilitate and multitask;
Strong customer service skills; and
Ability to work in a fastpaced environment and to think creatively to solve problems.

Compensation/Benefits Information:
(US only)**S&P Global states that the anticipated base salary range for this position is $ ,000. Base salary ranges may vary by geographic location.

- **Equal Opportunity Employer