Internships

Deloitte: Graduate / Internship Programme 2020 / 2021

July 1, 2020

As a graduate, you will support the business area leadership in the
implementation of strategic initiatives through the effective management
of the team, and to provide key insight and guidance in quantitative
modelling methodologies for valuations, risk, and strategic projects.

What We Offer

Unrivalled learning opportunities. Because we perform consulting
services, every project is different and every client is different,
providing you with fresh challenges and the opportunity to expand
your professional network.
Exciting
career growth prospects with remuneration to match the prospect of
working closely with professionals who are leaders in their fields.
The opportunity to explore less traditional actuarial fields and be
involved in leading edge projects.
Extensive
exposure to a broad range of risk work, providing the opportunity to
build and strengthen a broad range of risk management skills
A large team
of professionals to support business and professional growth and
provide project resources.
The international Deloitte network provides opportunities to travel
and access to International best practice.

Specific Responsibilities

Assisting in the development, automation and validation of financial
and risk models.
Perform
statistical analysis (e.g. clustering and segmentation).
Perform
numerical valuation techniques (e.g. derivatives and exotic
structures) and constructing yield curves.
Assisting in
the creation of market leading solutions and thought leadership;
building strong clients relationships and general problem solving.
Reporting to the Manager who leads the team you are assigned to, but
also reporting to the managers leading inqidual projects.

Qualifications

University Graduate with a Masters (MCom / MSc / MPhil) or Honours
degree, specialising in any of the following relevant fields:

MPhil
MSc
Quantitative Risk Management, Risk Analysis
MSc
Quantitative Risk Management
BSc Honours
Quantitative Risk Management
BSc Honours
Actuarial and Financial Mathematics
BSc Honours
Financial Engineering
BSc Honours
Quantitative Risk Management
BSc Honours Financial Engineering

BSc Honours in:

Advanced Maths of Finance or BSc (in Statistics or Mathematics)
Actuarial
Science;
Applied
Economics / Econometrics;
Computer / Data
Science/ Analytics;
Mechanical
Engineering (or Electrical or Electronic);
Mathematical
Sciences / Statistics;
(Applied / Financial) Mathematics;
Physics;

(Applied) Statistics;

Computer Literacy

Experience in C#, Matlab, Python, R, SAS or VBA is an advantage.

Additional
Information

What we are looking for

Strong interpersonal and communication (written and oral) skills.
Technical
proficiency and an eagerness to expand skills and develop knowledge.
The ability
to thrive in a busy environment with multiple deliverables.
The ability
to interact in a team environment.
The ability
to find innovative solutions to complex and often unusual
challenges.
Flexibility i.e. the ability to adapt quickly to changing
environments and changing requirements.

*Please note that this job advertisement provides a summary of the
capabilities required and all candidates shortlisted will receive a full
list of capabilities.