Algo Model Validation Quantitative Analyst Jobs

Assist in the development, implementation, communication, and management of model governance, policies, and procedures

Assist the Manager of MRM with other risk management projects and regulatory monitoring activities as needed

Four-year degree in a quantitative field such as Statistics, Economics, Finance, MIS, Engineering, or a related discipline

Two (2) years of relevant work experience in model validation, model development, and/or quantitative analysis

Two (2) years of experience with statistical software packages such as SAS, Python, or R

Advanced knowledge of financial modeling techniques and theories

Developing knowledge of CME Clearing’s risk models and best practices in model risk management

Supporting the drafting of model risk management policies and procedures and refining and maintaining the model inventory

This role performs a second line function that works closely with the model developers and users in the first line function.

This includes responding to inquiries from third-party validators and reviewing findings identified by third-party validators for severity and accuracy.

Work with colleagues on the drafting model validation responses, including any remediation plans.

Working with third-party validators to respond to their inquiries and by reviewing identified findings for severity and accuracy

Commitment - Strive to develop skills and knowledge

Order management system / execution

Strong analytical and problem-solving skills

Strong communication skills – ability to work as part of a global team

Strong technical skills in C# - real-time, parallelism / asynchronicity, high availability, efficient / performance sensitive code

Strong object-oriented programming skills and design patterns

Demonstrated project management, organization skills, and Agile experience

Bachelor’s degree in a quantitative field, and five or more years of relevant experience

MA/MS in a quantitative field, and three or more years of related experience

PhD in a quantitative field, and less than two years of related experience

Thorough knowledge of fraud, strategic planning, and banking operations

Comprehensive knowledge of bank systems, banking documents, and financial products including credit cards, ACH transactions, wires, checks and other electronic transfers

Drafting and reviewing model risk management policies and procedures and refining model inventory

Drafting model validation responses and presenting them to senior management and relevant committees for review

Advising, mentoring and coaching colleagues on best practices in model risk management leveraging deep subject matter expertise on model risk management.

Working with third-party validators to determine validation scope and reviewing identified findings for severity and accuracy

Master’s degree or equivalent in quantitative field, such as financial math or financial engineering. PhD preferred.

This role requires to work 5 days on site.

Knowledge of regulatory requirements and guidance, and experience on how they impact the development and validation of models

You will manage the relationship between the more junior validators and stakeholders

Proven analytical and computational skills in addition to a strong understanding of qualitative methodologies

Strong programming experience of software applications such as R, Python, Matlab, Tableau, SQL and SAS

You will review and validate a large variety of models for theoretical soundness, fit for purpose and implementation

Dedication to fostering an inclusive culture and value diverse perspectives

Conduct ongoing maintenance and research on models for risk management of mortgage and fixed-income products

Lead or participate in complex initiatives and deliverables within mortgage Quantitative Analytics and modeling

Develop analytical strategies for real time decisioning and/or long term objectives

Use quantitative and technological techniques to solve complex business problems

Maintain up-to-date and high quality model documents that satisfy model validation and requests from oversight teams

In this role, you will:

Minimum of (5 – 8) five to eight years working experience in risk management in the Energy industry

Inventory of Models used within the Risk Management Function (RMF) and without as requested

Candidate must have general knowledge of energy markets, natural gas, power, oil crude & products, LNG and Freight

Excellent critical thinking and problem-solving skills

Strong analytical skills with attention to detailed data analysis and complex model configuration

Ability to multi-task and accommodate organic changes in requirements for deliverables

Excellent organizational and time management skills

Computer skills (MAC EXPERIENCE REQUIRED)

Analytical abilities and aptitude in problem-solving

Excellent written and verbal communication skills

Gather and organize necessary documents and information

Conduct research and provide information to the Lawyer

Basic term and optional term life insurance

Pregnancy disability and parental leave

401(k) and employer-funded retirement plan

Paid vacation (from two to five weeks depending on salary grade and tenure)

Up to 11 paid holiday opportunities

Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches

Strong analytical, organizational, problem-solving, negotiation, and project management skills

Bachelor’s degree in a quantitative field, and five or more years of relevant experience

MA/MS in a quantitative field, and three or more years of related experience

PhD in a quantitative field, and less than two years of related experience

Thorough data compilation, programming skills and qualitative analysis skills

Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches

Strong analytical, organizational, problem-solving, negotiation, and project management skills

Bachelor’s degree in a quantitative field, and five or more years of relevant experience

MA/MS in a quantitative field, and three or more years of related experience

PhD in a quantitative field, and less than two years of related experience

Thorough data compilation, programming skills and qualitative analysis skills

Extensive knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches

Strong analytical, organizational, problem-solving, negotiation, and project management skills

Bachelor’s degree in a quantitative field, and five or more years of relevant experience

MA/MS in a quantitative field, and three or more years of related experience

PhD in a quantitative field, and less than two years of related experience

Prefer knowledge of AML/financial crimes and related transaction monitoring models

Assists in the management of one or more processes, reports, procedures, or products.

Assists in setting business and information architecture standards for Finance

Participates in assessing and incorporating changing business, regulatory and market information needs into finance processes and applications

Implements workflow or process change and redesign and uses a thorough knowledge of the specific function.

1-5+ years of experience in financial industry or other data analysis relevant positions

Proficient knowledge of how the team interacts with others in accomplishing the goals of the area.

Degree in STEM preferred but will consider Masters and Bachelors in STEM with relevant experience

2-4 years of MBS (Agency and/or Non-Agency) prepayment and/or credit modeling experience

Excellent written and verbal communication skills with a focus on explaining model methodology to both internal and external clients

Development of internal, proprietary predictive models in C++ and/or Python

Design, develop, document, and maintain new prepayment and credit models for MBS and ABS

Partner with developer resources to drive implementation and enhancements to models within RiskSpan’s analytic platform

Advanced Degree in Statistics, Economics, Finance, Physics, Math, or Engineering preferred

3+ years of specific experience with AML model validation required

Experience with Model Validation preferably experience managing a model validation engagement is required

Experience calibrating the models preferred

Excellent written and verbal communication skills with a focus on detailed and clear technical writing.

Remote work allowed with periodic site visits

Verbally communicate validation results, challenges and methodologies with internal audiences including senior management.

Masters degree in a technical or finance-related area such as Mathematical Finance, Math/Statistics, Physics, Operational Research or related fields.

Statistical skills especially in the area of regression, time series, Monte Carlo simulation, etc.

Exposure to and experience in financial markets, products and businesses.

Programming skills such as Python, Matlab, R, SQL

Monitor on-going model risk, including staying up to date with market trends, credit conditions and regulatory environment.

Two years in the Financial Services industry. Investment management experience preferred. Experience in statistical analyses and related statistical tools.

Are you interested in leveraging your technology skillsets to get closer to investment management?

Undergraduate degree in finance, computer science, mathematics, or statistics or equivalent combination of training and experience required.

Conceptualizes, codes, and builds new financial analytics based on knowledge of financial markets, securities, investment themes and new technologies.

Builds effective working relationships to anticipate the needs of analysts and/or portfolio managers.

Contributes to data architecture, analytics, and research process in support of portfolio managers and analysts.