Overview
Skills
Job Details
Job Title: Sr. Consultant Financial and IT Modeling & Analytics
Location: Washington, DC (Hybrid 3days)
Duration: 12 months long Term
Job Description:
Draft and maintain detailed documentation for internal models methodology details, summaries, technical appendices
Work closely with model risk and validators to accurately capture methodologies, assumption, validation techniques and findings to align with regulatory expectations and internal governance standards
Support the Funds Transfer Pricing and Enterprise Financial Analytics teams with any ad-hoc analysis projects or reporting
Experience working within Capital Markets, Treasury or balance sheet management preferred
Proficient in MS Excel; technical skills, i.e. Python, R, SAS and using BI tools for financial analysis desired
Skills:
1) Excellent planning skills using industry planning applications (i.e. Microsoft Project)
2) Attention to detail
3) Strong facilitation skills
4) Strong communication, negotiation and relationship building skills
5) Ability to identify and resolve technical issues where required
6) Ability to manage, coordinate and guide a project team
7) Strong issue resolution and risk management skills
8) Experience with project management methodologies
Responsible for managing a stream of work, including managing client expectations for that stream. Highly Skilled at data collection, analysis and presentation. Is able to apply structured problem solving to identify root cause within that value stream and can conduct process mapping to identify critical process steps and non-value added activity. Works with the Project Manager to assure all work streams are coordinated into the final client deliverables.
Education/Work Experience: 1) Bachelor degree in Business, Computer Science, Information Systems, or Business-related field 2) PMI/Project Management Professional (PMP) certification desired 8-10 years of experience in the designated role category
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans. .