Senior Modelling and Forecasting Analyst

Recruiter
Lowell Group
Location
Leeds
Salary
45000.0000
Posted
11 May 2017
Closes
09 Jun 2017
Contract Type
Permanent
Hours
Full Time
Job Title: Senior Modelling and Forecasting Analyst

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 Senior Modelling and Forecasting Analyst 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.

As a Senior Modelling and Forecasting Analyst you will provide direct leadership for the company's asset revaluation and forecasting process (including monthly and quarterly reporting activities and the calculation of enterprise estimated remaining collections) as well as hands-on analytic leadership for high-value departmental and corporate activities.
In addition, you will implement and continuously improve new methods for asset valuation (e.g time series, survival analyses, and statistical analyses) and support the related audit and approval processes with internal stakeholders and external auditors
.
You’ll be responsible for:
•Analytical leadership for the company’s proprietary asset revaluation and forecasting platform, with an emphasis on enhancement (e.g., ARIMA, time series, and advanced regression techniques), segment-level error analysis, and integration of current and future operational performance indicators
•Managing the post-purchase forecasting process, including empirical and statistical modelling, presentations to the Operations groups and executive leadership, and active partnership with the Finance department
•Building, implementing, and maintaining performance tracking tools that gauge current and future asset performance, and ensure that new business initiatives are accurately reflected in forecasting analyses
•Managing high-priority analytical activities of significant importance to both Decision Science and the broader organization
•Providing direct support to the Finance department and CFO during annual (or other external) audits
•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 visualization, and experimental methods

You’ll need to evidence the following qualifications, skills and experience:
•Extensive experience in a related field, including developing and deploying predictive modelling tools and methods in a fast-paced business environment
•Financial services experience, including prior exposure to credit scoring and/or marginal economic analysis, would be helpful but is not required
•Previous coaching and mentoring experience would be advantageous
•Solid and demonstrated working knowledge of two or more of Base SAS, SAS/STAT, Enterprise Guide, and Enterprise Miner
•Strong data modelling and regression forecasting (likely including time series analysis, ARMA modelling, and probabilistic modelling), and database development experience
•Advanced proficiency with MS Office, especially Excel
•Exceptional problem solving skills and communication skills
•Master’s degree in business or a quantitative science (e.g., economics, math, finance) with coursework in statistics would be preferred

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?!