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About TSR:

TSR is a relationship-based, customer-focused IT and technical services staffing company.

For over 40 years TSR, Inc. and its wholly owned subsidiary, TSR Consulting Services, have prospered in the Information Technology staffing business, earning the respect of companies both large and small with well refined candidate screening, timely placement, and a real understanding of the right skill sets required by our clients.

Mission & Vision

We do not believe in building a vision around the company but building a company around our vision, which is simply;

Every employee’s voice matters, their effort is appreciated, and their talent is rewarded.

We challenge each employee daily, to raise the bar on how we treat our consultants and candidates. For far too long in this industry, candidates have been ghosted, lied to, or placed at a client and then forgotten about. Each day our staff works tirelessly at qualifying and placing, top talent with our clients, in a compassionate and caring manner.

Not every candidate is a match for the job, but every candidate and consultant will be treated with respect and professionalism.

Risk Analytics Manager

Job Description

  • Location: Irving, Texas
  • Type: Contract
  • Job #81116

Our client, a leading financial services company is hiring a Risk Analytics Manager on a long-term contract basis.
Job ID 81116

Work Location:
Irving, TX
Responsibilities:

  • Execute monthly stress testing exercises to monitor risk appetite and identify vulnerable areas
  • Cover key process of rapid stress testing, overlays
  • Provide analytics support to stress test models in wholesale products, connect the stress testing output to model drivers
  • Build tools & analytical capabilities to support outcome analysis, loss forecasting reports and what if analysis
  • Gather and analyze portfolio and macro-economic data to assess potential impact on business performance and integrate the trends to the portfolio loss forecast
  • Partner with business units and risk managers to assess data availability and fit for purpose modeling approaches
  • Interact with model developers, model risk governance, business risk, internal audit
  • Leverage business / product expertise to evaluate and challenge the stress loss assumptions in hypothetical and historical stress scenarios
  • Research on 3rd party data, loss history and alternative models to build inventory of benchmarks
  • Contribute and refine current model performance monitoring process to interpret model output and identify opportunities for future improvements

Required Skills:

  • 5+ years’ experience in stress testing (CCAR/DFAST), CECL, or loss forecast model development
  • 5+ years’ experience with data analytical tools like Python or R
  • Sound knowledge of C&I and CRE loss forecast modeling analytics, PD/LGD/EAD models, experience in HFS/FVO is preferred
  • Demonstrated experience of building analytical tools to support the analysis of loss forecasting results, using tableau, Excel, R shiny or Python
  • Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
  • Proficient with MS Office suite, Word/Excel/PowerPoint.
  • Knowledge on scenario design, sensitivity shocks and risk identification process
  • Good interpretations and communications skills to convey complex quantitative methodology in simple terms

Education:
Bachelor’s/University degree or equivalent experience, potentially master’s degree in Economics, Finance, or quantitative majors

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