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Asset Based Lending · 6 hours ago

Financial Planning and Analysis Manager

Jersey City, NJ

Full-time

Onsite

Entry, Mid Level

$120K/yr - $150K/yr

1+ years exp

Asset Based Lending, LLC is a leading Hard Money Lender based in New Jersey, focused on providing fast bridge financing to real estate investors. The Financial Planning and Analysis Manager will work with senior leadership to refine internal processes and develop data model analysis to support decision-making and enhance operational insights.

LendingReal EstateService Industry

No H1B

Hiring Manager

Christa Raspante

Responsibilities

Maintaining and building our sizer

Owning the headcount capacity planning

Maintaining and building our proforma

Experience in Capital Markets

Understanding of Python. R, SQL etc

Advanced proficiency in Excel

Experience using visualization tools such as PowerBI/Tableau

Experience with CRMs such as salesforce/ Microsoft Dynamics etc

Analyzing and translating business needs into long-term solution data models

Evaluating existing data systems

Financial point of contact for key stakeholders across multiple functions – providing guidance on performance, pricing, KPIs and ad-hoc analytics

Create financial models, including forecasting, budgeting, and long-range planning to support decision-making

Refine data systems and tools to track performance, provide reporting solutions and enhance operational insights

Develop key highlights/KPIs to track growth initiatives and identify areas of improvements in profitability and cost productivity

Managing annual budgeting, forecasting, and long range-range financial planning process

Analyzing past financial performance, prepare competitor analysis, and examine market trends along with commentary for management

Collaborating cross functionally to create conceptual data models and data flows

Developing best practices for data coding to ensure consistency within the system

Reviewing modifications of existing systems for cross-compatibility

Implementing data strategies and developing physical data models

Updating and optimizing local and metadata models

Evaluating implemented data systems for variances, discrepancies, and efficiency

Troubleshooting and optimizing data systems

Understand and translate business needs into data models supporting long-term solutions

Create logical and physical data models using best practices to ensure high data quality and reduced redundancy

Optimize and update logical and physical data models to support new and existing projects

Maintain conceptual, logical and physical data models along with corresponding metadata

Develop best practices for standard naming conventions and coding practices to ensure consistency of data models

Recommend opportunities for reuse of data models in new environments

Perform reverse engineering of physical data models from databases and SQL scripts

Evaluate data models and physical databases for variances and discrepancies

Validate business data objects for accuracy and completeness

Analyze data-related system integration challenges and propose appropriate solutions

Develop data models according to company standards

Review modifications to existing software to improve efficiency and performance

Examine new application design and recommend corrections if required

Qualification

Financial modelingData analysisExcel proficiencyCRM experiencePythonSQLPowerBITableauAnalytical mindsetCommunication skillsOrganizational skillsTeam collaboration

Required

1-3 years' work experience

Bachelor's degree in financial engineering, mathematics, computer science or data science

Computer/data proficiency with a strong working knowledge of Microsoft Excel and ability to learn new and proprietary applications

Excellent communication skills, both written and verbal. Detail oriented and very organized with an analytical mindset

Ability to work both independently, with limited direction, and as a team player, functioning as an integral member of the Accounting and Operations teams

Willingness to be collaborative in a team environment

You must be eligible to work in the United States