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Python For Finance Jobs in Atlanta, GA (NOW HIRING)

Sovos

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

... and reliability for critical financial processes. Responsibilities : • Design and build the ... Python for pipeline scripting and orchestration • Cloud infrastructure experience: Azure (App ...

Sovos Latinoamérica

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

The Senior Data Engineer will be responsible for building and maintaining the financial data ... Python for pipeline scripting and orchestration • Cloud infrastructure experience: Azure (App ...

Sirius XM Radio

Staff Python Engineer

Atlanta, GA · On-site

Billing & Finance Platforms - the source of truth for revenue calculation, reconciliation ... Deep expertise in Python (Django, FastAPI, or similar frameworks) and backend architecture ...

Apex Systems

BI Developer

Sandy Springs, GA · On-site +1

Use Python for data transformation, automation, and analytics within Databricks and Microsoft ... Financial services experience preferred EEO Employer Apex Systems is an equal opportunity employer.

Yancey Bros. Co.

BI Developer

Austell, GA

Experience with Python for data analysis and automation, enabling the translation of complex data ... Financial Wellness Coaching Employee Wellness Program * Medical, Vision, Dental Insurance

Yancey Bros.co

BI Developer

Austell, GA · On-site

Experience with Python for data analysis and automation, enabling the translation of complex data ... Financial Wellness Coaching Employee Wellness Program * Medical, Vision, Dental Insurance

Yancey Bros Co

BI Developer

Austell, GA · On-site

Experience with Python for data analysis and automation, enabling the translation of complex data ... Financial Wellness Coaching Employee Wellness Program * Medical, Vision, Dental Insurance

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Python For Finance information

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How much do python for finance jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for python for finance in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What is the difference between Python For Finance vs Quantitative Analyst?

AspectPython For FinanceQuantitative Analyst
Required CredentialsPython skills, finance knowledge, possibly finance-related certificationsAdvanced degrees (e.g., MSc, PhD) in finance, mathematics, or related fields; certifications like CFA
Work EnvironmentFinancial firms, trading desks, investment banks, hedge fundsFinancial institutions, hedge funds, asset management firms, consulting
Employer & Industry UsageUsed for developing trading algorithms, risk modeling, data analysisDevelops quantitative models, risk assessments, trading strategies

Python For Finance focuses on using Python programming to analyze financial data and develop models, often as a technical skill. Quantitative Analysts, however, apply advanced mathematical and statistical techniques to create complex financial models. While both roles require strong analytical skills, Quantitative Analysts typically have higher-level degrees and certifications, and their work involves more theoretical modeling. Python For Finance is often a skill within a Quantitative Analyst's toolkit, but the roles differ in scope and depth.

How does a Python for Finance professional typically collaborate with other departments within a financial organization?

Python for Finance professionals frequently work alongside departments such as data analytics, risk management, and portfolio management. They often translate complex financial models into scalable code, automate data processes, and support decision-making by providing actionable insights through data analysis. Effective communication and collaboration are essential, as these professionals must understand the specific needs of stakeholders and ensure that technical solutions align with business objectives. Regular meetings, code reviews, and cross-functional project teams are common structures within the work environment.

What is Python for Finance?

Python for Finance refers to the use of the Python programming language for financial analysis, modeling, trading, and data visualization. Financial professionals use Python to automate data processing, analyze large financial datasets, build quantitative models, and develop trading algorithms. Its vast ecosystem of libraries such as Pandas, NumPy, and Matplotlib makes Python a popular choice in the finance industry for tasks ranging from risk management to portfolio optimization.

What are the key skills and qualifications needed to thrive as a Python Developer in Finance, and why are they important?

To thrive as a Python Developer in Finance, you need strong programming skills in Python, a solid understanding of financial concepts, and often a degree in computer science, finance, or a related field. Familiarity with financial libraries (such as pandas, NumPy, and QuantLib), databases, and version control systems is typically required, and certifications in data science or finance can be advantageous. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting financial data and collaborating with cross-functional teams. These skills are essential to develop robust financial solutions, ensure data accuracy, and drive informed decision-making in a highly regulated and data-driven industry.
Python For Finance jobs near you

SAP FI Consultant

Tata Consultancy Service Limited

Alpharetta, GA • On-site

$100K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Must Have Technical/Functional Skills
1 SAP FI GL, AR, AP, Asset Accounting, Bank Accounting (10+ yrs) 9 SAP MM Procurement, GR/IR, Invoice Verification, Valuation
2 SAP CO Cost Center Acctg, Profit Center Acctg, Internal Orders 10 SAP PP MTO / MTS / ETO Production Orders, MRP, Capacity Planning
3 SAP Product Costing (Cost Estimates, WIP, Variance Settlement) 11 Discrete Manufacturing Shop Floor integration, Confirmations
4 SAP COPA (Profitability Analysis costing-based & account-based) 12 SAP Project System (PS) WBS, Networks for ETO scenarios
5 Revenue Planning, Cost Planning, Budgeting & Rolling Forecasting 13 Reorganization in SAP Company Code, Cost Center, Profit Center reorg
6 SAP S/4HANA Finance Universal Journal, New Asset Accounting 14 AI / ML in SAP Intelligent RPA, Joule, Predictive Accounting
8 Intercompany, Transfer Pricing & Legal Consolidation 16 MS Excel Advanced, Power BI / SAC dashboards
Key Responsibilities:
A.SAP FICO Design, Configuration & Delivery
• Lead end-to-end SAP FICO implementation, rollout, and support covering GL, AR, AP, Asset Accounting, Bank/Treasury, Cost Center Accounting (CCA), Profit Center Accounting (PCA), Internal Orders, Product Costing, and COPA.
• Configure and optimize SAP S/4HANA Finance Universal Journal, New Asset Accounting, Predictive Accounting, and Group Reporting.
• Design and own the Chart of Accounts, Controlling Area structure, Profit Center hierarchy, and Cost Center hierarchy in alignment with organizational design changes and SAP reorganization tools.
• Lead SAP system reorganization events: company code mergers/splits, cost center/profit center restructures, and legal entity changes using SAP EC-CS and reorganization workbench.
• Implement Intercompany reconciliation, Transfer Pricing configurations, and Multi-ledger (parallel accounting) setups.
B.Finance Planning, Budgeting & Forecasting (FP&A)
• Own and deliver Revenue Planning, Cost Planning, Headcount Cost Planning, Capex Budgeting, and Rolling Forecast processes integrated between SAP FICO and SAP Analytics Cloud (SAC).
• Design driver-based planning models, allocation cycles (assessment / distribution), and top-down/bottom-up planning workflows.
• Configure SAC Planning models for Cost Center Planning, Profit Center Planning, and Project Planning feeding actuals from S/4HANA.
• Leverage SAP Predictive Accounting and SAC Smart Predict for AI-powered scenario forecasting and automated planning propositions.
• Support variance analysis (ACT vs. PLAN vs. FORECAST) and management reporting in SAC and SAP Fiori analytics.
C.SAP MM & PP Integration Discrete Manufacturing
• Act as cross-functional process expert bridging SAP FICO with SAP MM (Procurement-to-Pay) and SAP PP (Plan-to-Produce) in a Discrete Manufacturing environment.
• Configure and validate Material Valuation (Standard / Moving Average Price), GR/IR clearing, Invoice Verification (LIV), and Purchase Price Variance (PPV) flows into FI.
• Lead MTO (Make-to-Order), MTS (Make-to-Stock), and ETO (Engineer-to-Order) cost object controlling production order costing, WIP calculation, variance settlement to COPA.
• Integrate SAP PS (Project System) WBS cost controlling with FICO for ETO project-based manufacturing scenarios.
• Configure and validate MRP / Capacity Planning outputs impacting cost and financial commitments.
D.AI Adoption & Intelligent Finance
• Champion AI-powered finance capabilities: SAP Joule, Predictive Accounting, Cash Application AI, Intelligent Dunning, and Automated GR/IR reconciliation.
• Drive adoption of Robotic Process Automation (RPA) / Intelligent RPA in procure-to-pay and order-to-cash finance processes.
• Evaluate and implement AI-assisted anomaly detection in journal entries and spend analytics.
• Collaborate with data science teams to integrate Python/ML models with SAC for predictive budgeting and demand-driven cost forecasting.
E.Stakeholder Management & Program Leadership
• Serve as the primary Finance functional lead for SAP program delivery own functional design documents (FDD), solution design workshops, and fit-gap analysis.
• Manage relationships with CFO, Controller, Plant Finance, and FP&A teams; translate business requirements into SAP solution designs.
• Lead a team of FICO consultants and coordinate with MM, PP, SD, and BW/BI functional leads for end-to-end process alignment.
• Own UAT planning, test script development, defect triage, and cutover/go-live support for Finance workstream.
• Conduct training, knowledge transfer, and post-go-live hypercare for finance super-users and business stakeholders.
• ETO and MTS scenarios. Month end, Quarter end, Year-end closing. Annual costing process.
Generic Managerial Skills, If any
Cross-functional Collaboration -- Bridges Finance, Manufacturing (MM/PP), Supply Chain, and IT; facilitates integrated design across organizational silos
Change Management & Adoption -- Leads finance process transformation; drives user adoption through training, communication plans, and executive sponsorship
Team Leadership & Mentoring -- Manages and mentors a team of 38 FICO consultants; conducts design reviews, quality gates, and performance coaching
Analytical & Problem-Solving -- Root-cause analysis of complex FICO/CO issues; financial modelling validation; proactive escalation management
AI & Innovation Mindset -- Continuously evaluates emerging SAP AI capabilities (Joule, Predictive Accounting) and applies them to finance efficiency use cases
Communication & Executive Reporting -- Presents solution options, program status, and finance metrics to C-suite; clear written documentation of technical designs
Base Salary Range: $100,000 - $130,000 per annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehens ive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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