Expert-level banking systems, core banking, regulations, and banking technology
Banking Expert
Expert guidance for banking systems, core banking platforms, regulatory compliance, and banking technology.
Core Concepts
Banking Systems
Core banking systems (CBS)
Account management
Transaction processing
Payment systems (ACH, SWIFT, SEPA)
Loan management
Risk management systems
Regulations
Basel III/IV capital requirements
Know Your Customer (KYC)
Anti-Money Laundering (AML)
GDPR for banking
PSD2 (Payment Services Directive)
Dodd-Frank Act
Key Technologies
Real-time payment processing
Mobile banking
Open banking APIs
Digital wallets
Blockchain in banking
AI for fraud detection
Account Management
from decimal import Decimal
from datetime import datetime
from enum import Enum
class AccountType(Enum):
CHECKING = "checking"
SAVINGS = "savings"
CREDIT = "credit"
LOAN = "loan"
class Account:
def __init__(self, account_number: str, account_type: AccountType,
customer_id: str, balance: Decimal = Decimal('0')):
self.account_number = account_number
self.type = account_type
self.customer_id = customer_id
self.balance = balance
self.status = "ACTIVE"
self.created_at = datetime.now()
def deposit(self, amount: Decimal) -> dict:
"""Deposit funds with validation"""
if amount <= 0:
raise ValueError("Amount must be positive")
self.balance += amount
return {
"transaction_id": self.generate_transaction_id(),
"type": "DEPOSIT",
"amount": amount,
"balance": self.balance,
"timestamp": datetime.now()
}
def withdraw(self, amount: Decimal) -> dict:
"""Withdraw funds with balance check"""
if amount <= 0:
raise ValueError("Amount must be positive")
if self.balance < amount:
raise ValueError("Insufficient funds")
self.balance -= amount
return {
"transaction_id": self.generate_transaction_id(),
"type": "WITHDRAWAL",
"amount": amount,
"balance": self.balance,
"timestamp": datetime.now()
}
def transfer(self, to_account: 'Account', amount: Decimal) -> dict:
"""Transfer funds between accounts"""
# Withdraw from source
withdrawal = self.withdraw(amount)
try:
# Deposit to destination
deposit = to_account.deposit(amount)
return {
"transaction_id": self.generate_transaction_id(),
"type": "TRANSFER",
"from_account": self.account_number,
"to_account": to_account.account_number,
"amount": amount,
"timestamp": datetime.now()
}
except Exception as e:
# Rollback on failure
self.deposit(amount)
raise e
KYC/AML Compliance
class KYCService:
def verify_customer(self, customer_data: dict) -> dict:
"""Perform KYC verification"""
verification_results = {
"identity_verified": False,
"address_verified": False,
"sanctions_clear": False,
"pep_check_clear": False,
"risk_level": "HIGH"
}
# Identity verification
verification_results["identity_verified"] = self.verify_identity(
customer_data["id_document"]
)
# Address verification
verification_results["address_verified"] = self.verify_address(
customer_data["proof_of_address"]
)
# Sanctions screening
verification_results["sanctions_clear"] = self.screen_sanctions(
customer_data["name"],
customer_data["date_of_birth"]
)
# PEP (Politically Exposed Person) check
verification_results["pep_check_clear"] = self.check_pep(
customer_data["name"]
)
# Calculate risk level
verification_results["risk_level"] = self.calculate_risk_level(
verification_results
)
return verification_results
class AMLMonitoring:
def monitor_transaction(self, transaction: dict) -> dict:
"""Monitor transaction for suspicious activity"""
flags = []
# Large transaction
if transaction["amount"] > 10000:
flags.append("LARGE_TRANSACTION")
# Rapid succession of transactions
if self.check_velocity(transaction["account_id"]):
flags.append("HIGH_VELOCITY")
# Unusual pattern
if self.check_pattern(transaction):
flags.append("UNUSUAL_PATTERN")
# International transfer to high-risk country
if transaction.get("international") and \
self.is_high_risk_country(transaction.get("destination")):
flags.append("HIGH_RISK_COUNTRY")
if flags:
self.file_suspicious_activity_report(transaction, flags)
return {
"flagged": len(flags) > 0,
"flags": flags,
"risk_score": self.calculate_aml_risk_score(flags)
}
Payment Processing
class PaymentProcessor:
def process_ach_payment(self, payment: dict) -> dict:
"""Process ACH payment"""
# Validate routing and account numbers
if not self.validate_routing_number(payment["routing_number"]):
raise ValueError("Invalid routing number")
# Create ACH file
ach_batch = self.create_ach_batch([payment])
# Submit to ACH network
submission_result = self.submit_to_ach_network(ach_batch)
return {
"payment_id": payment["id"],
"status": "PENDING",
"expected_settlement": self.calculate_settlement_date(),
"trace_number": submission_result["trace_number"]
}
def process_wire_transfer(self, wire: dict) -> dict:
"""Process SWIFT wire transfer"""
# Generate SWIFT message
swift_message = self.create_swift_mt103(wire)
# Send via SWIFT network
result = self.send_swift_message(swift_message)
return {
"wire_id": wire["id"],
"status": "SENT",
"swift_reference": result["reference"],
"fee": self.calculate_wire_fee(wire["amount"])
}
Interest Calculation
class InterestCalculator:
@staticmethod
def calculate_simple_interest(principal: Decimal, rate: Decimal,
days: int) -> Decimal:
"""Calculate simple interest"""
return principal * rate * days / 365
@staticmethod
def calculate_compound_interest(principal: Decimal, annual_rate: Decimal,
years: int, compounds_per_year: int = 12) -> Decimal:
"""Calculate compound interest"""
rate_per_period = annual_rate / compounds_per_year
num_periods = years * compounds_per_year
return principal * ((1 + rate_per_period) ** num_periods - 1)
@staticmethod
def calculate_loan_payment(principal: Decimal, annual_rate: Decimal,
months: int) -> Decimal:
"""Calculate monthly loan payment"""
monthly_rate = annual_rate / 12
payment = principal * (monthly_rate * (1 + monthly_rate) ** months) / \
((1 + monthly_rate) ** months - 1)
return payment.quantize(Decimal('0.01'))
Best Practices
Implement two-factor authentication
Use encryption for sensitive data (at rest and in transit)
Maintain complete audit trails
Implement real-time fraud detection
Ensure ACID compliance for transactions
Regular security audits and penetration testing
Implement rate limiting on APIs
Use tokenization for sensitive data
Maintain disaster recovery and business continuity plans
Regular regulatory compliance reviews
Anti-Patterns
❌ Storing sensitive data unencrypted
❌ No transaction logging/audit trail
❌ Synchronous payment processing
❌ Ignoring regulatory compliance
❌ No fraud detection mechanisms
❌ Using floats for money calculations
❌ No backup and recovery procedures
Resources
Basel Committee: https://www.bis.org/bcbs/
SWIFT Standards: https://www.swift.com/standards
PSD2: https://ec.europa.eu/info/law/payment-services-psd-2
FFIEC: https://www.ffiec.gov/don't have the plugin yet? install it then click "run inline in claude" again.