Statistical Modelling Manager

Lowell Group
14 May 2017
13 Jun 2017
Contract Type
Full Time
Job Title: Statistical Modelling Manager

Location: Leeds

Salary: Competitive + 3% flexible benefits + on target bonus of 10% + contributory pension

At Lowell we work with our customers to improve their financial well-being. We take the time to get to know each customer and better understand their individual circumstances, working out the best payment plan for them. Our personal approach is why we’ve been awarded an Exceptional 3 star rating by Investor in Customer for the last two years and why we’re one of the UK’s leading debt management companies.

We’re now looking for a Statistical Modelling Manager to join our Decision Science/Analytics department. The Decision Science department is focused on understanding, measuring, and predicting consumer financial behaviour. The team comprises of business analysts, statisticians, and quantitative scientists dedicated to addressing the company’s most challenging analytic problems. From asset pricing based on sophisticated consumer segmentation schemes, to the development of operational and forecasting models, we use mathematics, psychology, economics, and raw business acumen to support the needs of our pan-European business.

Combining aspects of both a theoretical and applied statistician, the Statistical Modelling Manager designs, builds, and enhances predictive statistical models using a variety of advanced analytic tools, frameworks, and approaches. In addition, this role involves managing a team of analysts to answer a broad array of general business questions through data and logical inference.

The Statistical Modelling Manager has the opportunity to influence a wide range of business activities, including designing and implementing operational models across multiple business channels, managing and creating novel consumer segmentation frameworks, asset valuation in the context of both core portfolio purchases and M&A activity, and contributing to our growing industrialised behavioural science program.

This is an exciting opportunity to lead a team that partners broadly within the organisation and influences the company’s operational, analytic, and financial strategies.

You’ll be responsible for:
•Designing, building, and maintaining new predictive statistical models and focus relentlessly on identifying new sources of data
•Expanding the company’s statistical methodology toolbox and improving the company’s problem solving architecture though focused research into mathematical and behavioural science topics
•Providing analytic leadership within the applied modelling function and operations, including (a) general statistical expertise, (b) project leadership, especially around complex problem solving, and (c) identifying new opportunities to use predictive modelling in service to revenue and cost targets
•Serving as an analytic coach and/or mentor to peers and junior staff within the Decision Science department and the operational groups
•Active participation in the department’s Modelling Symposium, which includes discussion of theoretical and methodological papers, peer-review of ongoing projects, topical seminars, and ongoing training focused on effective communications, data visualisation, and experimental methods

You’ll need to evidence the following qualifications, skills and experience:
•Master’s degree (or higher) in statistics, mathematics, or a quantitative science, with significant coursework in statistics and experimental design
•Extensive statistical or analytic experience with a financial services company
•Expertise with formal statistical methodologies, including strong knowledge of two or more of the following: logistic regression, generalised linear models, categorical data analyses, ANOVA and regression models
•Demonstrated previous experience designing and implementing statistical models, preferably within a financial services company, that have significantly improved operational NPV
•Proficiency with base SAS and SAS/STAT, or a related technology (e.g., R, Matlab, or IDL)
•Familiarity with longitudinal and outcome-based modelling, the logic of credit scoring, and NPV and IRR analyses
•Proficiency with MS Office, particularly Excel and PowerPoint
•Previous coaching and mentoring experience with junior (and preferably senior) analysts, especially around statistical methodology, hypothesis testing, and experimental design

The Benefits:

•Competitive salary with annual bonus

•Contributory pension

•3% flexible benefits - including cycle to work, critical illness, dental insurance, childcare vouchers, travel insurance, dining club, retail discounts and the option to buy up to one week’s worth of holiday subject to start date

•Free shuttle bus from Leeds City Centre

•Subsidised on-site restaurant

•Free on-site gym

•Excellent coaching and training

If this sounds like the role for you, and you’re eligible to work in the UK we’d love to hear from you.

So, apply today – what have you got to lose?!