Identify. Understand. Mitigate.

Assessing Potential Risk, Fraud, & Fair Lending for Financial Services

Assessing and mitigating potential risk, fraud, or unfair lending practices
poses a significant analytic challenge. RMS addresses this problem by
providing machine-aided analysis at scale. Through this analysis, risks
are quickly identified, and account and ownership risks quantified. Time
and cost required to understand those risks are reduced and a single
model based authoritative view of the relevant facts to help mitigate
those risks is provided.

Capabilities

IDENTIFY

See the total potential risk across a
loan portfolio, quantified in terms of
$ and loans

 

UNDERSTAND

Explore the descriptive statistics
within the portfolio to understand the
sources of risk

 

MITIGATE

Investigate the integrated data down
to the loan or borrower level and act
as needed

MACHINE ANALYTICS AT A GLOBAL SCALE

RMS has aggregated over 30 commercial and public data sources
into a single data asset, a Knowledge Graph. The Graph applies
sophisticated analytics to automate risk identification and speed the
process of understanding and mitigating those risks. Knowledge
Graph enables the following unique capabilities:

• 140M comprehensive business entity records and relationships
drawn from various commercial data sources
• Industry-best representation of complex ownership/partnership
structures among the businesses
• Ability to ingest your proprietary data quickly while safeguarding it effectively
• Comprehensive multi-factor risk scoring system designed by risk
experts, tunable to your organizations risk policies and appetite.
• Intuitive interactive dashboard and user graph interface that
speeds understanding and mitigation of risks

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KEY SOFTWARE FEATURES

365 degree view of the customer,
company and beneficial owners

 

60+ risk rules and customer rating

 

Built-in network analysis and decision panel

 

Identification of shared attributes

 

KYC risk reporting with dashboard
solutions

 

Integration to be ran in line for
product adoption and risk screening

 

Leveraged to support credit score
to drive pricing and risk tiering of
customer

OPERATIONAL USES

Fraud and AML Screening and Alerts

 

Vendor Management

 

Risk Assessments

 

Loan Screening

 

Account Opening

 

Account Reviews

 

Fintech and Merchant Screening

CASE STUDY

In the display below, “Advanced Pain Management Services” received a $350-$1M loan from Bank A. However, the company also appears to be on an active watchlist for fraud issues.

Advanced Pain Mgmt Services

BENEFICIAL OWNER RESOLUTION

The benefit of RMS is the ability to connect the businesses with the beneficial owners. In this case study, the company alerted for a bad actor/owner, who is shown below. This owner flagged for:

• The entity is owned by Atif Babar Malik, who is on an Exclusion List for a multi-million dollar kickback scheme as well as tax fraud (2019) per DOJ investigation, IRS, and
HHS OIG.

• As displayed, Konstantin Bas was charged with Atif Babar Malik as an associate special interest person and a co-conspirator in the fraud scheme.

• Konstantin Bas owns another entity called ‘Accu Reference Medical Lab’ that received a $5-$10M loan from Bank B. The entity has also been used in the 2019 kickback scheme by Bas and Malik

Atif Babar Malik