Financial Analytics

Financial Analytics Developer Jobs

4 jobs found

12d ago

Quantitative Developer - Securitized Products

Clearwater Analytics, LLC New York, NY 🇺🇸 Remote

New York, NY

12d ago

$156k - $211k/yr Full time Python Capital Markets CMBS

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Job Description

Clearwater Analytics, LLC invites applications for a Quantitative Developer focused on securitized products within the Quant team. The role encompasses building pricing libraries, valuation and risk analytics, and cash flow modeling for ABS, CLO, MBS, and CMBS, progressing from model development to production deployment with client interaction. Collaboration with cross-functional teams will enhance the platform's structured products capabilities. This position is based in New York, NY with remote work options.

Responsibilities

Develop and maintain pricing libraries and analytical models for securitized products including ABS, CLO, MBS, CMBS, and other structured credit instruments
Build, extend, and maintain frameworks within the platform supporting securitized product lifecycle management, including cash flow generation, prepayment modeling, credit enhancement structures, and tranche-level analytics
Implement and maintain risk analytics covering interest rate sensitivities (DV01, duration, convexity), spread risk, scenario analysis, and stress testing across structured product portfolios
Design and develop models for prepayment, default, and loss severity - calibrated to market conventions and client-specific requirements
Identify and advocate for new models and design patterns necessary for the continuous improvement of an evolving infrastructure to support all clients
Produce high-quality documentation targeting both technical and non-technical audiences, supporting and expanding engineering solutions

Requirements

1–3 years of experience in quantitative development with a focus on securitized or structured products
Strong understanding of structured product mechanics - deal structures, waterfall logic, cash flow prioritization, credit enhancement, and tranche-level risk
Familiarity with prepayment models (for example PSA, CPR) and credit risk frameworks applicable to ABS, MBS, CMBS, and CLO structures
Experience developing production-quality code, preferably in Python, with a strong software engineering foundation
Strong problem-solving and communication skills - ability to convey technical topics clearly to both technical and non-technical audiences

Technologies

Python

Benefits

Business casual atmosphere in a flexible working environment
Team-focused culture that promotes innovation and ownership
Access to cutting-edge investment reporting technology and expertise
Defined and undefined career pathways allowing you to grow your own way
Competitive medical, dental, vision, and life insurance benefits
Maternity and paternity leave
Personal Time Off and Volunteer Time Off to give back to the community
RSUs as well as employee stock purchase plan and 401K with match
Work from anywhere 3 weeks out of the year
Work from home Fridays

Location

New York, NY with remote work options

Salary

USD 156,400 - 210,841 per year

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21d ago

Quantitative Developer

Holistic Partners Inc Jersey City, NJ

Jersey City, NJ

21d ago

$135k - $145k/yr Full time Backend Developer Python APIs

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Job Description

Holistic Partners Inc is seeking a Quantitative Developer to contribute to an enterprise risk platform that blends quantitative modeling with software engineering. The role centers on Python-based modeling, scenario generation, and analytics for Treasury and Market Risk, with a long-term, full-time engagement and a hybrid work arrangement between Jersey City, NJ and New York, accompanied by a salary between USD 135,000 and 145,000 per year.

Responsibilities

Develop and implement Python-based solutions for balance sheet projections, interest rate risk, liquidity analytics, and scenario-driven stress testing.
Support regulatory scenarios such as CCAR and SCB, liquidity stress tests, and ad hoc what-if analyses for Treasury and risk stakeholders.
Build tools for scenario transformations, sensitivity calculations, curve construction, and quantitative stress analytics.
Design and maintain high-performance Python modules that form the computational core of the scenario analysis framework.
Apply Pandas, NumPy, and other quantitative libraries to processing and analysis tasks.
Work with large datasets using SQL to integrate financial, balance sheet, and market inputs.
Collaborate on REST API development that interfaces with scenario engines, model layers, and user applications.
Partner with UI developers to support React-based dashboards that present scenario results, visualizations, and analytics to business users.

Requirements

Strong proficiency in Python.
Analytical thinking with a financial or risk-oriented background.
Experience with Pandas, NumPy, and other quantitative libraries.
Experience working with SQL.
Experience building or consuming REST APIs.
Experience collaborating on React-based dashboards.

Technologies

Python
Pandas
NumPy
SQL
REST APIs
React

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24d ago

Senior Finance Data Engineer / Data Analyst

Stellantis Auburn Hills, MI

Auburn Hills, MI

24d ago

Full time Analyst Analytics Business Analytics

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Job Description

What we offer

This onsite role in Auburn Hills, Michigan gives you the chance to support Stellantis FP&A through Power BI based reporting and analytics. You will collaborate with a finance-focused team to design robust data models, ensure data accuracy and governance, and deliver insightful dashboards. The position emphasizes hands-on work across the complete Power BI data lifecycle, from data extraction and transformation (Bronze and Silver layers) to semantic modeling and dashboard delivery (Gold layer), with a clear focus on performance and security. You will also manage user access and role-based security within Power BI Service.

Responsibilities

Manage the full Power BI data lifecycle: from data extraction and transformation (Bronze/Silver layers) to semantic modeling and dashboard development (Gold layer)
Ensure data accuracy, performance, and security across all FP&A reporting tools
Handle user access and role-level security within Power BI Service

Requirements

Advanced proficiency in Power BI, Power Query, and DAX
Experience integrating data from multiple sources (e.g., Excel, CSV, ERP systems like SAP or OneStream)
Ability to clean, transform, and standardize data into analytics-ready models
Experience deploying and maintaining dashboards in Power BI Service
Basic understanding of financial reporting structures (e.g., P&L, revenue, cost, variance analysis)
Strong analytical mindset with attention to data accuracy, consistency, and performance optimization
Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field
Minimum of 5 years' extensive experience with PowerBI
Minimum of 8 years' overall relevant work experience
Thrive in a fast-paced, dynamic work environment

Technologies

Power BI
Power Query
DAX
Excel
CSV
SAP
OneStream
Power BI Service

Preferred qualifications

Power BI certification or similar credentials
Experience with ETL tools or scripting languages (e.g., SQL, Python) for advanced data transformation
Experience with OneStream, SAP or Oracle tools

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3mo ago

Lead Developer, Finance Technology

The J. M. Smucker Company Orrville, OH

Orrville, OH

3mo ago Closed

Full time Senior Advanced Analytics Automation

This position is no longer accepting applications (closed May 23, 2026).

Job Description

Join The J. M. Smucker Company in Orrville, OH, where finance technology leadership combines strategic impact with hands-on delivery. This hybrid role offers the chance to architect analytics and automation solutions, mentor a growing team (including interns), and champion responsible AI adoption across Finance and the wider business. You will work with stakeholders to align with enterprise strategies, delivering scalable, reliable tools and insights.

Location: Orrville, Ohio. Work arrangement: Hybrid, 40% in office (nine days per month).

Responsibilities

Provide architectural direction and hands‑on support for advanced analytics, data pipelines, and automation solutions that serve Finance and the broader organization.
Design high‑impact solutions, reinforce compliance standards, mentor team members including interns, and advocate for responsible AI adoption.
Contribute to standards, design decisions, and solution patterns to promote scalability, reliability, and alignment with enterprise and Finance strategies.
Identify, design, and deploy RPA and AI‑enabled automation solutions that reduce manual effort and improve cycle times.
Engage across the automation lifecycle and partner with COE and IT teams to strengthen governance and sustainability.
Help colleagues recognize automation opportunities and understand how AI and automation can modernize Finance workflows.
Assist in developing and refining statistical and machine‑learning models.
Collaborate with teams to integrate predictive and AI‑driven insights into decision‑making and promote responsible, effective usage patterns that strengthen analytical maturity.
Drive technology‑driven process improvements across Finance by equipping teams with modern tools, methods, and best practices.
Support enterprise reporting processes and reinforce data governance, audit, and SOX requirements through collaborative stewardship and cross‑functional partnership.

Requirements

Bachelor's degree in data analytics, business analytics, data science, computer science, information systems, or a related field
5+ years in analytics, programming, automation, or advanced data roles
Deep experience with R, Python, and SQL; proven delivery with BI tools and production model operations
Experience with RPA platforms (e.g., Blue Prism, UiPath, Automation Anywhere)
Strong communication and stakeholder management skills
Demonstrated ability to support teams in applying AI and automation effectively
Continuous learning mindset and passion for emerging technologies

Technologies

R
Python
SQL
Blue Prism
UiPath
Automation Anywhere

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