Financial Modeling Analyst Jobs

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What will you be doing?

We are seeking a Modeling Analyst in New York, NY (multiple positions)

Apply rigorous data management principles to model Highmark's data assets to build and maintain conceptual, logical, and physical data models.

Manage XML schemas that are consistent with the data models.

Experience working in one or more of these database environments very helpful: Teradata, Oracle, SQL Server, Hadoop/Hive

Experience with one or more of the following tools highly desired: Power Designer, ERWin, ER/Studio, SQL and/or PL/SQL

Develop and employ the technical standards, procedures, and guidelines used to govern data models.

Direct, coach, and guide development teams in applying data modeling techniques and the usage of data modeling and repository tools.

0-1 years of work or internship experience

Exceptional problem solving skills and self-motivation

Programming/coding skills (SQL, Python, R, C#, etc.)

Knowledge of data science or machine learning a plus

Responsibilities include but not limited to:

Running catastrophe models and pricing a significant volume of reinsurance contracts

• Experience performing sophisticated financial analysis using various data analytics tools Microsoft Excel, Tableau, Salesforce.

• Completes deal models by evaluating financial impact, revenue, and direct margin of customer proposals.

• Tracks actual member performance against deal models to understand financial performance versus what was modeled.

• Contributes to continuous process improvement initiatives for the sale lifecycle.

Applies statistical techniques to perform root cause analysis, analyze trends, and uncover risks and opportunities relative to portfolio management and originations.

Education: Bachelor’s degree or equivalent work experience. Master's or Ph.D. in a quantitative field (engineering, economics, statistics, math, physics, etc.) preferred.

Superior quantitative problem solving skills and customer experience intuition

Patient, willing to learn new skills and build industry knowledge

Experience: 0+ years of analytics and quantitative problem solving experience.

Strong written and verbal communication skills

Good time management with strong organizational skills and the ability to prioritize and manage work deliverables effectively.

Demonstrated knowledge of AIR or RMS Cat models. AIR Touchstone is preferred.

Strong knowledge of property insurance, policy terms, and reinsurance.

Good interpersonal and communication skills. Ability to effectively interact with all levels of CNA’s internal and external business partners.

Has a strong knowledge of Microsoft Excel and other business-related software

A Bachelor's degree in Business, Economics, Mathematics, Finance, Statistics, or related field.

Apply rigorous data management principles to model Highmark's data assets to build and maintain conceptual, logical, and physical data models.

Manage XML schemas that are consistent with the data models.

Experience working in one or more of these database environments very important: Teradata, Oracle, SQL Server, Hadoop/Hive

Experience with one or more of the following tools ideal: Power Designer, ERWin, ER/Studio, SQL and/or PL/SQL

Develop and employ the technical standards, procedures, and guidelines used to govern data models.

Direct, coach, and guide development teams in applying data modeling techniques and the usage of data modeling and repository tools.

Understand division/business unit catastrophe modeling and risk management practices

Bachelor's Degree or equivalent combination of education and work experience

Provide analytical support to catastrophe modeling team operations by sharing knowledge and information

Demonstrated interest in personal learning and enhancing knowledge; confront unexpected circumstances as learning opportunities

Knowledge of at least one catastrophe modeling software and catastrophe modeling concepts

Working knowledge of catastrophe modeling techniques

Lead the process and preparation of forecast reporting packages, FP&A management dashboards and reporting of key metrics and business units.

At least 9-12 years of relevant FP&A experience, with strong leadership skills and the ability to think independently, strategically and operationally.

A bachelor’s degree in finance or accounting; CFA, CPA or MBA is a plus

Strong communication and presentation skills, excellent skills in excel modeling and PowerPoint.

Prior industry and/or asset securitization experience is desirable.

Company-sponsored training and certification opportunities

At least 2 years of predictive modeling experience or P&C actuarial experience.

Experience with SAS, SQL, and MS Office beneficial.

A Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics, or related major.

At least 2 years of predictive modeling experience or P&C actuarial experience.

Experience with SAS, SQL, and MS Office beneficial.

A Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics, or related major.

3 years of progressive accounting or finance experience, with exposure to Financial Services and a CPA certification strongly preferred

Analyze complex financial information, identify trends/opportunities and provide recommendations to leadership/management for decision making.

Partner with other members of the Finance department to ensure accurate support for forecast figures are available upon request.

Bachelor's Degree is required, Finance, Accounting or Economics preferred

Must have strong knowledge of US Generally Accepted Accounting Principles

Experience with complex organizational structures and improving processes

Understands the vision and owns aspects of the product management/roadmap activities

Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges

Bachelor's Degree or equivalent with a major in finance, computer science, or related field.

Strong knowledge in investment products including bonds and mortgages

Experience with agile development methodologies and Test-Driven Development (TDD)

Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business

Advanced knowledge and experience in relational databases

Minimum Skills, License, and Certifications

Careers in Higher Education are reliably stable.

Competitive retirement plan and benefits.

High school diploma and 10 years of experience OR

Associate’s degree and 6 years of experience OR

Knowledge and experience in financial markets, trading strategies, and related products. (Required)

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential requirements.

Mathematical and Statistical Skills: The ability to use mathematical and statistical techniques to develop trading strategies, create models, and analyze data.

Technical Skills: The ability to use programming languages, analytical tools, and other technologies to analyze data and develop trading strategies.

Communication Skills: The ability to communicate complex concepts and trading strategies to non-technical stakeholders in a clear and concise manner.

Minimum (3) years of experience in live testing and optimizing trading algorithms based on inefficiencies. (Required)

Experience with building tracking plans, working with stakeholders on requirements, and translating them to tracking plans for developer implementation.

Capture macro and micro requirements, translate into technical specifications

Assess requirements to implementation flow; help conduct quality assurance checks to validate implementations

Work with product and business stakeholders to gather requirements

Document the requirements + data models for data engineers to implement

5+ years of experience working with enterprise level data