Quantitative Analyst C2

About us, purpose, experience and qualifications about us make a promise
Be deeply invested
Value our differences
Build trust, not territory
Have courage
Always do the right thing
Stay curious and you have one simple goal:
Purpose
To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that Important Company analytical support and interpret insights, using advanced analytics technologies, to address business opportunities and problems and implement business strategy.
Experience and qualifications
Minimum Qualification - B Degree Maths, Stats, Engineering, Computer Science, Econometrics, Physics or Actuarial Science
Preferred Qualification - Honours Degree
Experience - 3 - 5 years? experience ina data environment, of which 1 - 2 years ideally at a at junior (entry level) management level
Additional Knowledge - Deep domain knowledge with regards to financial services:
Credit, Pricing, Marketing, CVM, Trading etc.
Design thinking
Analytics Ops, Agile and SAFe concepts will assist
Concepts such as:
Exploratory data analysis, Data Science Pipeline lines
Hands on experience using model such as:
Naïve Bayes, Support Vector Machines, Classifications, Boosting Algorithms, Time Series, Feature Engineering and
Dimensionality Reduction
Data and Information Management topics e.G. structure, dimensions, storage
Object-oriented programming
Big data modelling
Database management
Python, SQL, MATLAB, SAS, S-PLUS or R (used for statistical analysis)
Monte Carlo techniques
Machine learning
Data mining and data modelling
Scala and Spark
C#/Java,.NET or VBA, Excel
Mathematical skills
Calculus (including differential, integral and stochastic)
Linear algebra and differential equations
Numerical linear algebra
Probability and statistics
Game theory
Portfolio theory
Equity and interest rate derivatives, including exotics
Systematic and discretionary trading practices
Credit-risk products
Financial modelling
Data visualisation and reporting