Quant Analyst (PhD Required For This Role) (W2 Only / No C2C Available)

Overview of Role: Our client has an opportunity for a Quantitative Analyst for our Global Risk Analytics’ (GRA’s) Quantitative Projects (QP) function. The GRA team provides quantitative capabilities supporting global risk management and capital management and develops a consistent set of risk and capital models and analytical tools that drive the company’s technology infrastructure. QP function partners with GRA teams to develop and deliver modelling solutions and analytical tools in order to address MRA/MRIA requirements; provides quantitative expertise for a broad range of modelling areas across the Enterprise; builds and maintains the analytics infrastructure which supports GRA’s modelling library; develops robust back-testing frameworks. The role will involve the development and enhancement of capital and loss forecasting models within the bank, with a particular focus on the achieving compliance with the Basel committee market risk requirements outlined as part of the Fundamental Review of the Trading Book. This is a high-profile area and presents a challenging and intellectually stimulating role in a dynamic team that is used to delivering in a timely manner to many different constituents of the bank. Responsibilities: As a Quantitative Finance Analyst your main responsibilities will involve: Developing and implementing new models or enhance existing models Maintaining & developing loss forecasting and capital models Seeking out work and enhancing current models/processes Producing clear and coherent technical documentation for internal and regulatory purposes Competencies:

Qualified PhD level in a numerical discipline (e.g. Statistics, Mathematics, Physics or Engineering)

Experience in developing, documenting & maintaining numerical models for purposes of loss forecasting or calculating capital requirements

Demonstrates consistent attention to detail

Proven ability to communicate complex technical concepts clearly

Essential (https://allegiscloud-my.sharepoint.com/personal/adoteksystemscom/Documents/Desktop/OPEN%20REQS-%20December.docx#Essential) Skills:

Technical skills: Statistics, Probability Theory, Econometrics

IT skills: Prior experience of using both statistical modeling tools (e.g. SAS, R) and development experience in either C or Python

Documentation: Ability to clearly document quantitative models and evidence technical modeling choices

Data analysis and interpretation. Experience of interpreting and manipulating large financial data sets

A Practical knowledge of credit products including loans, bonds and credit derivatives

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

§ Medical, dental & vision

§ Critical Illness, Accident, and Hospital

§ 401(k)Retirement Plan – Pre-tax and Roth post-tax contributions available

§ Life Insurance (Voluntary Life & AD&D for the employee and dependents)

§ Short and long-term disability

§ Health Spending Account (HSA)

§ Transportation benefits

§ Employee Assistance Program

§ Time Off/Leave (PTO, Vacation or Sick Leave)

About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.