Lead Portfolio Analytics Architect

This

position

is

listed

on

behalf

of

a

partner

company,

who

manages

all

applications

and

next

steps.

Our

partner

is

looking

for

a

Lead

Portfolio

Analytics

Architect

based

in

India

.

As

a

Lead

Portfolio

Analytics

Architect,

you

will

lead

a

team

of

data

professionals

responsible

for

ensuring

the

accuracy,

integrity,

and

quality

of

complex

financial

portfolio

data.

You

will

combine

people

leadership

with

hands-on

technical

expertise

to

oversee

end-to-end

data

validation

projects

and

drive

operational

excellence.

Working

with

investment

datasets,

analytics

platforms,

and

cloud-based

technologies,

you

will

develop

scalable

solutions

that

improve

efficiency

and

automate

workflows.

You

will

also

play

a

key

role

in

shaping

the

team's

strategy,

strengthening

internal

processes,

and

introducing

AI-driven

innovations.

Collaborating

with

global

stakeholders

across

multiple

regions,

you

will

ensure

consistent

project

delivery

and

high-quality

client

outcomes.

This

is

an

opportunity

to

influence

a

growing

analytics

practice

while

developing

talent

and

solving

challenging

data

problems.

Accountabilities

Team

Leadership

and

Development

Lead,

mentor,

and

manage

a

team

of

Portfolio

Analytics

Architects,

balancing

managerial

responsibilities

with

hands-on

project

delivery.

Establish

clear

objectives,

performance

metrics,

and

priorities

while

ensuring

consistent

productivity

and

high-quality

outcomes.

Performance

Management:

Conduct

regular

one-to-one

meetings,

performance

reviews,

and

career

development

discussions.

Support

employee

onboarding,

identify

development

opportunities,

delegate

responsibilities,

and

foster

a

culture

of

accountability

and

continuous

improvement.

Recruitment

and

Resource

Planning:

Assess

staffing

requirements

and

collaborate

with

recruitment

teams

to

attract,

interview,

select,

and

onboard

qualified

professionals.

Data

Analytics

and

Validation:

Oversee

end-to-end

data

validation

projects

involving

complex

investment

portfolios,

ensuring

accuracy,

consistency,

and

reliable

results.

Develop

scalable

data

analytics

processes

using

Databricks

and

create

custom

Python

solutions

to

detect

large-scale

data

anomalies

and

automate

remediation.

Process

Optimization

and

Automation:

Identify

opportunities

to

streamline

workflows,

improve

internal

tools,

and

increase

operational

efficiency.

Introduce

AI-driven

automation

and

Large

Language

Model

(LLM)

integrations

to

support

scalable

implementation

processes.

Strategic

Leadership:

Drive

internal

management

initiatives

and

contribute

to

the

development

and

execution

of

the

Data

Analytics

practice

strategy.

Collaborate

with

regional

leaders

to

improve

team

performance,

operational

consistency,

and

service

delivery.

Project

and

Stakeholder

Management:

Coordinate

multiple

projects

simultaneously,

manage

priorities,

monitor

execution,

and

ensure

deadlines

are

met.

Communicate

complex

findings

and

project

updates

clearly

while

escalating

risks

and

resolving

delivery

challenges.

Best

Practices

and

Quality

Assurance:

Establish

and

promote

consistent

methodologies,

technical

standards,

and

best

practices

to

ensure

reliable,

high-quality

data

solutions

across

projects

and

teams.

Requirements

Education:

Bachelor's

degree

in

Finance,

Mathematics,

Statistics,

Engineering,

Business,

Economics,

or

a

related

discipline.

Progress

toward

CFA

or

FRM

certification

is

an

advantage.

Professional

Experience:

At

least

5

years

of

experience

in

technology,

finance,

consulting,

fund

accounting,

or

investment

operations,

with

demonstrated

experience

managing

teams,

projects,

and

cross-functional

initiatives.

Financial

Data

Expertise:

Hands-on

experience

working

with

complex

investment

datasets,

including

multi-asset-class

portfolios,

investment

performance

data,

and

market

data

from

multiple

sources.

Technical

Skills:

Proficiency

in

Python,

Spark,

and/or

SQL,

with

a

solid

understanding

of

ETL

fundamentals

and

working

knowledge

of

REST

APIs.

How Jobgether works

• We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
• We appreciate your interest and wish you the best!
• Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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