Job Title : Machine Learning Quant

Industry Sector : Investment Banking

Salary : Up to £80 k

Location : UK

Job Type : Permanent

Job Description :

Machine Learning Quant required to support the development of Predictive Models for Stress Testing and Corporate Plan

You will be a member of the clients Quantitative Modelling and Analytics team, who are responsible for the research, development and implementation of quantitative models (particularly PPNR models) and visual analytic tools.

The scope of the work covers areas such as Retail, Transaction Banking, Corporate and Investments Banking (CIB) products as well as areas such as commodities, interest rates and FX. The outputs are used for:

• Stress Tests

• Capital and Liquidity Management (CLM)

• Financial Planning & Analytics (FP&A)

The role holder will be responsible for development, validation and documentation of quantitative models for Stress Testing and Corporate Plan in a way that meets regulatory guidance and internal requirements, managing the development through to final approval.

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Main Responsibilities:

Machine Learning Models (70%):

• Experience in developing scripts in R programming language to source, clean, aggregate/disaggregate, transform raw data for quantitative modelling

• Develop new regulatory and business-related models using Generalized Additive Models framework and other machine learning techniques.

• Provide robust model selection, testing and validation methodologies.

• Produce projections (based on the designed models) for various time horizons (short-term, long-term).

• Document new models to the Group standards and best industry practice, prepare submission for independent model validation

• Develop visual exploratory analysis processes in ways that work in harmony with socialisation of quantitative models and development of ‘data-driven storytelling'.

• Communicate important trends and patterns.

Stakeholder Management (30%):

• Ability to work well within a team of machine learning and quantitative modellers, analyst and business experts, with a desire to take initiatives in the specification and development of solutions.

• Ability to meet deadlines and work under tight time scales.

• Be flexible and able to switch from visual analytics to quantitative modelling following stakeholders' feedback

• Good verbal and written communication skills, including presentation skills.

• Interpersonal skills required to communicate with external stakeholders and with the wider financial and banking community.

QUALIFICATIONS AND SKILLS:
• Post graduate degree (preferably PhD) in Statistics, Applied Mathematics, Data Science and/or related discipline with a strong programming experience in R.

• Good knowledge of machine learning and computational statistics, e.g. regression analysis, time-series analysis, smoothing techniques, random forests, etc.

• Good knowledge of predictive and prescriptive analytics.

• Post-qualification experience in relevant analytics field. Knowledge and understanding of financial services is preferred.

• Track record of producing high quality development code and documentation including results of research and presentations for technical and non-technical audiences

This company is really looking for a very energetic and ambitious individual, ready to join a great team pioneering the future of finance.