Some advice regarding taking grad math courses (PhD in Finance)

[WelshCorgi]

Hi, I'm an Asian (non-Chinese) looking forward to applying for Finance PhD in around 2022.
I have concerns regarding taking grad math courses.
Would taking grad Probability (measure-based prob) and grad Real Analysis (Hilbert Space) be of any help in the application process? The concern is due to my sub-optimal grades. Please see my profile below for your reference.
I'm also open to Econ PhDs.

Test Scores:

(GRE) 170/163/5.0 (Q/V/W)

Undegrad GPA:

CGPA: 4.0/4.5 (3.7/4.0 if A+,A=4.0, B+,B=3.0, etc.) from a regionally well-known Asian university, Econ major.

Econ Classes (advanced): Econometrics II (time series), Empirical Analysis of Policies (DiD, Matching, etc.), Game Theory, Intermediate Metrics (IV, Probit, etc.)
Math&Stats Classes: Calc I,II (II being multivariate), Lin Alg I,II, Analysis I,II, ODE, Probability, Mathematical Statistics, Stochastic Processes, Numerical Analysis; the following are being taken this semester: Topology I, Real Analysis (measure), Applied Math (deep learning).

Mostly A+ or As, except for the following: Game Theory (B+), Industrial Org (B), ODE (B+), Numerical Analysis (B+)

Research Experience:

A few undergrad-level papers, but none significant.

Work Experience:

6m intern at an Asian global IB (Research)
3m intern at a major global IB (Risk)

Others:
I will be enrolled in MA Econ from the same University starting next semester.
I have a high chance of getting TA-ships and RA-ships, which could hopefully boost my chances.

Concerns:
Gauging from the above profile, would taking grad math courses help my application? (I am pretty confident I can get A's) Also, what else could I do besides writing good papers in my Masters? What would be the most probable target schools that I can aim for?

Thank you in advance.